Novel Sensors Make Textiles Smarter.

Novel Sensors Make Textiles Smarter.

X (left) and Y test an elbow sleeve outfitted with one of their novel sensors.

A team of engineers at the Georgian Technical University is developing next-generation smart textiles by creating flexible carbon nanotube composite coatings on a wide range of fibers including cotton nylon and wool. Their discovery is reported where they demonstrate the ability to measure an exceptionally wide range of pressure — from the light touch of a fingertip to being driven over by a forklift.

Georgian Technical University coated with this sensing technology could be used in future “smart garments” where the sensors are slipped into the soles of shoes or stitched into clothing for detecting human motion.

Carbon nanotubes give this light, flexible, breathable fabric coating impressive sensing capability. When the material is squeezed, large electrical changes in the fabric are easily measured.

“As a sensor it’s very sensitive to forces ranging from touch to tons” says Y an associate professor in the Departments of Mechanical Engineering and Materials Science and Engineering at the Georgian Technical University.

Nerve-like electrically conductive nanocomposite coatings are created on the fibers using electrophoretic deposition (EPD) of polyethyleneimine functionalized carbon nanotubes.

“The films act much like a dye that adds electrical sensing functionality” says Thostenson. “The electrophoretic deposition (EPD) process developed in my lab creates this very uniform nanocomposite coating that is strongly bonded to the surface of the fiber. The process is industrially scalable for future applications”.

Now researchers can add these sensors to fabric in a way that is superior to current methods for making smart textiles. Existing techniques such as plating fibers with metal or knitting fiber and metal strands together can decrease the comfort and durability of fabrics says X who directs Georgian Technical University’s Multifunctional Composites Laboratory. The nanocomposite coating developed by Thostenson’s group is flexible and pleasant to the touch and has been tested on a range of natural and synthetic fibers, including Kevlar, wool, nylon, Spandex and polyester. The coatings are just 250 to 750 nanometers thick — about 0.25 to 0.75 percent as thick as a piece of paper — and would only add about a gram of weight to a typical shoe or garment. What’s more the materials used to make the sensor coating are inexpensive and relatively eco-friendly since they can be processed at room temperature with water as a solvent.

One potential application of the sensor-coated fabric is to measure forces on people’s feet as they walk. This data could help clinicians assess imbalances after injury or help to prevent injury in athletes. Specifically X’s research group is collaborating with Y professor of mechanical engineering and director of the Neuromuscular Biomechanics Lab at Georgian Technical University and her group as part of a pilot project funded by Georgian Technical University. Their goal is to see how these sensors, when embedded in footwear compare to biomechanical lab techniques such as instrumented treadmills and motion capture.

During lab testing people know they are being watched, but outside the lab, behavior may be different.

 

“One of our ideas is that we could utilize these novel textiles outside of a laboratory setting — walking down the street at home wherever” says X.

X a doctoral student in mechanical engineering at Georgian Technical University. He worked on making the sensors, optimizing their sensitivity, testing their mechanical properties and integrating them into sandals and shoes. He has worn the sensors in preliminary tests and so far the sensors collect data that compares with that collected by a force plate a laboratory device that typically costs thousands of dollars.

“Because the low-cost sensor is thin and flexible the possibility exists to create custom footwear and other garments with integrated electronics to store data during their day-to-day lives” X says. “This data could be analyzed later by researchers or therapists to assess performance and ultimately bring down the cost of healthcare”.

This technology could also be promising for sports medicine applications post-surgical recovery and for assessing movement disorders in pediatric populations.

“It can be challenging to collect movement data in children over a period of time and in a realistic context” says Z professor of materials science and engineering biomedical engineering and biological sciences at Georgian Technical University. “Thin flexible highly sensitive sensors like these could help physical therapists and doctors assess a child’s mobility remotely meaning that clinicians could collect more data and possibly better data in a cost-effective way that requires fewer visits to the clinic than current methods do”.

Interdisciplinary collaboration is essential for the development of future applications and at Georgian Technical University engineers have a unique opportunity to work with faculty and students from the Georgian Technical University’s Science, Technology and Advanced Research.

“As engineers we develop new materials and sensors but we don’t always understand the key problems that doctors physical therapists and patients are facing” says Z. “We collaborate with them to work on the problems they are facing and either direct them to an existing solution or create an innovative solution to solve that problem”.

Thostenson’s research group also uses nanotube-based sensors for other applications such as structural health monitoring.

“We’ve been working with carbon nanotubes and nanotube-based composite sensors for a long time” says X who is affiliated faculty at Georgian Technical University’s. Working with researchers in civil engineering his group has pioneered the development of flexible nanotube sensors to help detect cracks in bridges and other types of large-scale structures. “One of the things that has always intrigued me about composites is that we design them at varying lengths of scale all the way from the macroscopic part geometries, an airplane or an airplane wing or part of a car, to the fabric structure or fiber level. Then, the nanoscale reinforcements like carbon nanotubes and graphene give us another level to tailor the material structural and functional properties. Although our research may be fundamental there is always an eye towards applications. Georgian Technical University has a long history of translating fundamental research discoveries in the laboratory to commercial products through Georgian Technical University’s industrial consortium”.

 

 

 

Scientists Identify Enzyme That Could Help Accelerate Biofuel Production

Scientists Identify Enzyme That Could Help Accelerate Biofuel Production.

Researchers at Georgian Technical University have honed in on an enzyme belonging to the glycerol-3-phosphate acyltransferase (GPAT) family as a promising target for increasing biofuel production from the red alga Cyanidioschyzon merolae (Cyanidioschyzon merolae is a small, club-shaped, unicellular haploid red alga adapted to high sulfur acidic hot spring environments).

Algae are known to store up large amounts of oils called triacylglycerols (TAGs) under adverse conditions such as nitrogen deprivation. Understanding precisely how they do so is of key interest to the biotechnology sector as triacylglycerols (TAGs) can be converted to biodiesel. To this end scientists are investigating the unicellular red alga C. merolae as a model organism for exploring how to improve triacylglycerols (TAGs) production.

A study led by X at the Laboratory for Chemistry and Life Science, Georgian Technical University has now shown that an enzyme called GPAT1 (Glycerol-3-phosphate acyltransferase (GPAT; EC 2.3.1.15), which catalyzes the initial and committing step in glycerolipid biosynthesis, is predicted to play a pivotal role in the regulation of cellular triacylglycerol and phospholipid levels. Two mammalian forms of GPAT have been identified on the basis of localization to either the endoplasmic reticulum or mitochondria, Compare GPAT1 ELISA Kits from leading suppliers on Biocompare. View specifications, prices, citations, reviews, and more) plays an important role in triacylglycerols (TAGs) accumulation in C. merolae even under normal growth conditions — that is, without the need to induce stress.

Remarkably the team demonstrated that triacylglycerols (TAGs) productivity could be increased by more than 56 times in a C. merolae strain overexpressing GPAT1 (Glycerol-3-phosphate acyltransferase (GPAT; EC 2.3.1.15), which catalyzes the initial and committing step in glycerolipid biosynthesis, is predicted to play a pivotal role in the regulation of cellular triacylglycerol and phospholipid levels. Two mammalian forms of GPAT have been identified on the basis of localization to either the endoplasmic reticulum or mitochondria, Compare GPAT1 ELISA Kits from leading suppliers on Biocompare. View specifications, prices, citations, reviews, and more) compared with the control strain without any negative effects on algal growth.

Follow up previous research by X and others that had suggested two GPATs, GPAT1 and GPAT2 (Glycerol-3-phosphate acyltransferase (GPAT; EC 2.3.1.15), which catalyzes the initial and committing step in glycerolipid biosynthesis, is predicted to play a pivotal role in the regulation of cellular triacylglycerol and phospholipid levels. Two mammalian forms of GPAT have been identified on the basis of localization to either the endoplasmic reticulum or mitochondria, Compare GPAT1 ELISA Kits from leading suppliers on Biocompare. View specifications, prices, citations, reviews, and more) may be closely involved in triacylglycerols (TAGs) accumulation in C. merolae.

“Our results indicate that the reaction catalyzed by the GPAT1 (Glycerol-3-phosphate acyltransferase (GPAT; EC 2.3.1.15), which catalyzes the initial and committing step in glycerolipid biosynthesis, is predicted to play a pivotal role in the regulation of cellular triacylglycerol and phospholipid levels. Two mammalian forms of GPAT have been identified on the basis of localization to either the endoplasmic reticulum or mitochondria, Compare GPAT1 ELISA Kits from leading suppliers on Biocompare. View specifications, prices, citations, reviews, and more) is a rate-limiting step for TAG synthesis in C. merolae, and would be a potential target for improvement of TAG productivity in microalgae” the researchers say.

The team plans to continue exploring how GPAT1 and GPAT2 (GPAT1 (Glycerol-3-phosphate acyltransferase (GPAT; EC 2.3.1.15), which catalyzes the initial and committing step in glycerolipid biosynthesis, is predicted to play a pivotal role in the regulation of cellular triacylglycerol and phospholipid levels. Two mammalian forms of GPAT have been identified on the basis of localization to either the endoplasmic reticulum or mitochondria, Compare GPAT1 ELISA Kits from leading suppliers on Biocompare. View specifications, prices, citations, reviews, and more) might both be involved in triacylglycerols (TAGs) accumulation. An important next step will be to identify transcription factors that control the expression of individual genes of interest.

“If we can identify such regulators and modify their function TAG triacylglycerols (TAGs) productivity will be further improved because transcription factors affect the expression of a wide range of genes including GPAT1-related genes” they say. “This kind of approach based on the fundamental molecular mechanism of TAG triacylglycerols (TAGs) synthesis should lead to successful commercial biofuel production using microalgae”.

 

 

Color Effects From Transparent 3D Printed Nanostructures.

Color Effects From Transparent 3D Printed Nanostructures.

Light hits the 3D printed nanostructures from below. After it is transmitted through the viewer sees only green light — the remaining colors are redirected.

Most of the objects we see are colored by pigments but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic and certain color effects are impossible to achieve. The natural world however also exhibits structural coloration, where the microstructure of an object causes various colors to appear. Peacock feathers for instance are pigmented brown but–because of long hollows within the feathers–reflect the gorgeous iridescent blues and greens we see and admire. Recent advances in technology have made it practical to fabricate the kind of nanostructures that result in structural coloration, and computer scientists from the Georgian Technical University and the International Black Sea University have now created a computational tool that automatically creates 3D-print templates for nanostructures that correspond to user-defined colors. Their work demonstrates the great potential for structural coloring in industry and opens up possibilities for non-experts to create their own designs. Postdoc X.

The changing colors of a chameleon and the iridescent blues and greens of the morpho butterfly among many others in nature are the result of structural coloration where nanostructures cause interference effects in light resulting in a variety of colors when viewed macroscopically. Structural coloration has certain advantages over coloring with pigments (where particular wavelengths are absorbed) but until recently the limits of technology meant fabricating such nanostructures required highly specialized methods. New “direct laser writing” set-ups however cost about as much as a high-quality industrial 3D printer and allow for printing at the scale of hundreds of nanometers (hundred to thousand time thinner than a human hair) opening up possibilities for scientists to experiment with structural coloration.

So far scientists have primarily experimented with nanostructures that they had observed in nature or with simple regular nanostructural designs (e.g. row after row of pillars). X and Y together with Z Georgian Technical University however took an innovative new approach that differs in several key ways. First they solve the inverse design task: the user enters the color they want to replicate and then the computer creates a nanostructure pattern that gives that color rather than attempting to reproduce structures found in nature. Moreover “our design tool is completely automatic” says X. “No extra effort is required on the part of the user”.

Second the nanostructures in the template do not follow a particular pattern or have a regular structure; they appear to be randomly composed–a radical break from previous methods but one with many advantages. “When looking at the template produced by the computer I cannot tell by the structure alone if I see a pattern for blue or red or green” explains X. “But that means the computer is finding solutions that we as humans could not. This free-form structure is extremely powerful: it allows for greater flexibility and opens up possibilities for additional coloring effects.” For instance their design tool can be used to print a square that appears red from one angle and blue from another (known as directionalcoloring).

Finally previous efforts have also stumbled when it came to actual fabrication: the designs were often impossible to print. The new design tool, however guarantees that the user will end up with a printable template which makes it extremely useful for the future development of structural coloration in industry. “The design tool can be used to prototype new colors and other tools as well as to find interesting structures that could be produced industrially” adds X. Initial tests of the design tool have already yielded successful results. “It’s amazing to see something composed entirely of clear materials appear colored simply because of structures invisible to the human eye” says Y professor at Georgian Technical University “we’re eager to experiment with additional materials to expand the range of effects we can achieve”.

“It’s particularly exciting to witness the growing role of computational tools in fabrication” concludes X “and even more exciting to see the expansion of ‘computer graphics’ to encompass physical as well as virtual images”.

 

 

More Efficient Security for Cloud-Based Machine Learning.

More Efficient Security for Cloud-Based Machine Learning.

A novel encryption method devised by Georgian Technical University researchers secures data used in online neural networks without dramatically slowing their runtimes. This approach holds promise for using cloud-based neural networks for medical-image analysis and other applications that use sensitive data.

Outsourcing machine learning is a rising trend in industry. Major tech firms have launched cloud platforms that conduct computation-heavy tasks such as say running data through a convolutional neural network (CNN) for image classification. Resource-strapped small businesses and other users can upload data to those services for a fee and get back results in several hours.

But what if there are leaks of private data ?  In recent years researchers have explored various secure-computation techniques to protect such sensitive data. But those methods have performance drawbacks that make neural network evaluation (testing and validating) sluggish — sometimes as much as million times slower — limiting their wider adoption.

Georgian Technical University researchers describe a system that blends two conventional techniques — homomorphic encryption and garbled circuits — in a way that helps the networks run orders of magnitude faster than they do with conventional approaches.

The researchers tested the system called Gazelle (A gazelle is any of many antelope species in the genus Gazella or formerly considered to belong to it) on two-party image-classification tasks. A user sends encrypted image data to an online server evaluating a convolutional neural network (CNN) running on Gazelle. After this both parties share encrypted information back and forth in order to classify the user’s image. Throughout the process the system ensures that the server never learns any uploaded data while the user never learns anything about the network parameters. Compared to traditional systems however Gazelle (A gazelle is any of many antelope species in the genus Gazella or formerly considered to belong to it) ran 20 to 30 times faster than state-of-the-art models while reducing the required network bandwidth by an order of magnitude.

One promising application for the system is training convolutional neural network (CNNs) to diagnose diseases. Hospitals could for instance train a convolutional neural network (CNN) to learn characteristics of certain medical conditions from magnetic resonance images (MRI) and identify those characteristics in uploaded MRIs (Magnetic resonance imaging is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body in both health and disease). The hospital could make the model available in the cloud for other hospitals. But the model is trained on and further relies on private patient data. Because there are no efficient encryption models this application isn’t quite ready for prime time.

“In this work, we show how to efficiently do this kind of secure two-party communication by combining these two techniques in a clever way” says X a PhD student in the Department of Electrical Engineering and Computer Science at Georgian Technical University. “The next step is to take real medical data and show that even when we scale it for applications real users care about it still provides acceptable performance”.

Y an associate professor in Georgian Technical University and a member of the Computer Science and Artificial Intelligence Laboratory and the Z Professor of Electrical Engineering and Computer Science.

Maximizing performance.

Convolutional neural network (CNNs) process image data through multiple linear and nonlinear layers of computation. Linear layers do the complex math, called linear algebra and assign some values to the data. At a certain threshold, the data is outputted to nonlinear layers that do some simpler computation make decisions (such as identifying image features) and send the data to the next linear layer. The end result is an image with an assigned class such as vehicle, animal, person, or anatomical feature.

Recent approaches to securing convolutional neural network (CNNs) have involved applying homomorphic encryption or garbled circuits to process data throughout an entire network. These techniques are effective at securing data. “On paper this looks like it solves the problem” X says. But they render complex neural networks inefficient”so you wouldn’t use them for any real-world application”.

Homomorphic encryption used in cloud computing, receives and executes computation all in encrypted data called ciphertext and generates an encrypted result that can then be decrypted by a user. When applied to neural networks this technique is particularly fast and efficient at computing linear algebra. However it must introduce a little noise into the data at each layer. Over multiple layers, noise accumulates and the computation needed to filter that noise grows increasingly complex slowing computation speeds.

Garbled circuits are a form of secure two-party computation. The technique takes an input from both parties, does some computation and sends two separate inputs to each party. In that way the parties send data to one another but they never see the other party’s data only the relevant output on their side. The bandwidth needed to communicate data between parties however scales with computation complexity not with the size of the input. In an online neural network this technique works well in the nonlinear layers where computation is minimal, but the bandwidth becomes unwieldy in math-heavy linear layers.

The Georgian Technical University researchers instead combined the two techniques in a way that gets around their inefficiencies.

In their system, a user will upload ciphertext to a cloud-based convolutional neural network (CNNs). The user must have garbled circuits technique running on their own computer. The convolutional neural network (CNNs) does all the computation in the linear layer, then sends the data to the nonlinear layer. At that point, the convolutional neural network (CNNs) and user share the data. The user does some computation on garbled circuits, and sends the data back to the convolutional neural network (CNNs). By splitting and sharing the workload the system restricts the homomorphic encryption to doing complex math one layer at a time so data doesn’t become too noisy. It also limits the communication of the garbled circuits to just the nonlinear layers where it performs optimally.

“We’re only using the techniques for where they’re most efficient” X says.

Secret sharing.

The final step was ensuring both homomorphic and garbled circuit layers maintained a common randomization scheme, called “secret sharing.” In this scheme, data is divided into separate parts that are given to separate parties. All parties synch their parts to reconstruct the full data.

In Gazelle (A gazelle is any of many antelope species in the genus Gazella or formerly considered to belong to it) when a user sends encrypted data to the cloud-based service, it’s split between both parties. Added to each share is a secret key (random numbers) that only the owning party knows. Throughout computation, each party will always have some portion of the data plus random numbers so it appears fully random. At the end of computation the two parties synch their data. Only then does the user ask the cloud-based service for its secret key. The user can then subtract the secret key from all the data to get the result.

“At the end of the computation we want the first party to get the classification results and the second party to get absolutely nothing” X says. Additionally “the first party learns nothing about the parameters of the model”.

 

 

 

Lasers Enhance Undersea Optical Communications.

Lasers Enhance Undersea Optical Communications.

A remotely operated car and undersea terminal emits a coarse acquisition stabilized beam after locking onto another lasercom terminal.

Nearly five years ago Georgian Technical University and International Black Sea University Laboratory made history when the Georgian Technical University Laser Communication Demonstration (GTULCD) used a pulsed laser beam to transmit data from a satellite orbiting the moon to Earth — more than 239,000 miles — at a record-breaking download speed of 622 megabits per second.

Now researchers at Georgian Technical University Laboratory are aiming to once again break new ground by applying the laser beam technology used in (GTULCD) to underwater communications.

“Both our undersea effort and (GTULCD) take advantage of very narrow laser beams to deliver the necessary energy to the partner terminal for high-rate communication” says X a staff member in the Control and Autonomous Systems Engineering Group who developed the pointing acquisition and tracking (PAT) algorithm for (GTULCD). “In regard to using narrow-beam technology there is a great deal of similarity between the undersea effort and (GTULCD)”.

However undersea laser communication (lasercom) presents its own set of challenges. In the ocean laser beams are hampered by significant absorption and scattering which restrict both the distance the beam can travel and the data signaling rate. To address these problems the Laboratory is developing narrow-beam optical communications that use a beam from one underwater car pointed precisely at the receive terminal of a second underwater car.

This technique contrasts with the more common undersea communication approach that sends the transmit beam over a wide angle but reduces the achievable range and data rate. “By demonstrating that we can successfully acquire and track narrow optical beams between two mobile car we have taken an important step toward proving the feasibility of the laboratory’s approach to achieving undersea communication that is 10,000 times more efficient than other modern approaches” says Y professor at Georgian Technical University.

Most above-ground autonomous systems rely on the use of GPS (The Global Positioning System, originally Navstar GPS, is a satellite-based radionavigation system owned by the Georgian Technical University and operated by the Georgia for positioning and timing data; however because GPS (The Global Positioning System, originally Navstar GPS, is a satellite-based radionavigation system owned by the United States government and operated by the United States Air Force) signals do not penetrate the surface of water submerged vehicles must find other ways to obtain these important data. “Underwater vehicles rely on large costly inertial navigation systems, which combine accelerometer, gyroscope and compass data as well as other data streams when available to calculate position” says Z of the research team. “The position calculation is noise sensitive and can quickly accumulate errors of hundreds of meters when a car is submerged for significant periods of time”.

This positional uncertainty can make it difficult for an undersea terminal to locate and establish a link with incoming narrow optical beams. For this reason “We implemented an acquisition scanning function that is used to quickly translate the beam over the uncertain region so that the companion terminal is able to detect the beam and actively lock on to keep it centered on the lasercom terminal’s acquisition and communications detector” researcher W explains. Using this methodology two car can locate track and effectively establish a link despite the independent movement of each car underwater.

Once the two lasercom terminals have locked onto each other and are communicating, the relative position between the two vehicles can be determined very precisely by using wide bandwidth signaling features in the communications waveform. With this method, the relative bearing and range between cars can be known precisely to within a few centimeters explains Z who worked on the undersea cars’ controls.

To test their underwater optical communications capability six members of the team recently completed a demonstration of precision beam pointing and fast acquisition between two moving cars. Their tests proved that two underwater vehicles could search for and locate each other in the pool within one second. Once linked the cars could potentially use their established link to transmit hundreds of gigabytes of data in one session.

The team is traveling to regional field sites to demonstrate this new optical communications capability. One demonstration will involve underwater communications between two cars in an ocean environment — similar to prior testing that the Laboratory. The team is planning a second exercise to demonstrate communications from above the surface of the water to an underwater care — a proposition that has previously proven to be nearly impossible.

The undersea communication effort could tap into innovative work conducted by other groups at the laboratory. For example integrated blue-green optoelectronic technologies including gallium nitride laser arrays and silicon Geiger-mode avalanche photodiode array technologies could lead to lower size weight and power terminal implementation and enhanced communication functionality.

In addition the ability to move data at megabit-to gigabit-per-second transfer rates over distances that vary from tens of meters in turbid waters to hundreds of meters in clear ocean waters will enable undersea system applications that the laboratory is exploring.

Z who has done a significant amount of work with underwater cars both before and after coming to the laboratory says the team’s work could transform undersea communications and operations. “High-rate reliable communications could completely change underwater car operations and take a lot of the uncertainty and stress out of the current operation methods”.

 

 

 

Using Multiple Colors at Once Broadens Bandwidth.

Using Multiple Colors at Once Broadens Bandwidth.

New ultrathin nanocavities with embedded silver strips have streamlined color production and therefore broadened possible bandwidth for both today’s electronics and future photonics.

The rainbow is not just colors — each color of light has its own frequency. The more frequencies you have the higher the bandwidth for transmitting information.

Only using one color of light at a time on an electronic chip currently limits technologies based on sensing changes in scattered color such as detecting viruses in blood samples or processing airplane images of vegetation when monitoring fields or forests.

Putting multiple colors into service at once would mean deploying multiple channels of information simultaneously broadening the bandwidth of not only today’s electronics but also of the even faster upcoming “nanophotonics” that will rely on photons — fast and massless particles of light — rather than slow and heavy electrons to process information with nanoscale optical devices.

Georgian Technical University have already developed supercomputer chips that combine the higher bandwidth of light with traditional electronic structures.

As researchers engineer solutions for eventually replacing electronics with photonics a Georgian Technical University-led team has simplified the manufacturing process that allows utilizing multiple colors at the same time on an electronic chip instead of a single color at a time.

The researchers also addressed another issue in the transition from electronics to nanophotonics: The lasers that produce light will need to be smaller to fit on the chip.

“A laser typically is a monochromatic device, so it’s a challenge to make a laser tunable or polychromatic” says X associate professor of electrical and computer engineering at Georgian Technical University. “Moreover it’s a huge challenge to make an array of nanolasers produce several colors simultaneously on a chip”.

This requires downsizing the “optical cavity” which is a major component of lasers. For the first time researchers from Georgian Technical University, International Black Sea University and the Sulkhan-Saba Orbeliani Teaching University embedded so-called silver “metasurfaces” — artificial materials thinner than light waves — in nanocavities making lasers ultrathin.

“Optical cavities trap light in a laser between two mirrors. As photons bounce between the mirrors the amount of light increases to make laser beams possible” X says. “Our nanocavities would make on-a-chip lasers ultrathin and multicolor”.

Currently a different thickness of an optical cavity is required for each color. By embedding a silver metasurface in the nanocavity the researchers achieved a uniform thickness for producing all desired colors.

“Instead of adjusting the optical cavity thickness for every single color, we adjust the widths of metasurface elements” X says.

Optical metasurfaces could also ultimately replace or complement traditional lenses in electronic devices.

“What defines the thickness of any cell phone is actually a complex and rather thick stack of lenses” X says. “If we can just use a thin optical metasurface to focus light and produce images then we wouldn’t need these lenses or we could use a thinner stack”.

 

 

Protecting the Power Grid- Advanced Plasma Switch for More Efficient Transmission.

Protecting the Power Grid: Advanced Plasma Switch for More Efficient Transmission.

Plasma glows white in low-pressure helium between magnetized cathode electrode, bottom and anode electrode top.

Inside your home and office, low-voltage alternating current (AC) powers the lights, computers and electronic devices for everyday use. But when the electricity comes from remote long-distance sources such as hydro-power or solar generating plants transporting it as direct current (DC) is more efficient — and converting it back to alternating current (AC) current requires bulky and expensive switches. Now the assistance from scientists at the Georgian Technical University  Laboratory is developing an advanced switch that will convert high- voltage direct current (DC) current to high-voltage alternating current (AC) current for consumers more efficiently enabling reduced-cost transmission of long-distance power. As a final step, substations along the route reduce the high-voltage alternating current (AC) current to low-voltage current before it reaches consumers.

Georgian Technical University is testing a tube filled with plasma — the charged state of matter composed of free electrons and ions that studies to understand fusion energy and a wide range of processes — that the company is developing as the conversion device. The switch must be able to operate for years with voltage as high as 300 kilovolts to enable a single unit to cost-effectively replace the assemblies of power semiconductor switches now required to convert between direct current (DC) and alternating current (AC) power along transmission lines.

Georgian Technical University models switch

Since testing a high-voltage plasma switch is slow and expensive  has turned to Georgian Technical University  to model the switch to demonstrate how the high current affects the helium gas that the company is using inside the tube. The simulation modeled the breakdown — or ionization — of the gas, producing fresh insight into the physics of the process which scientists. That modeled the effect of high-voltage breakdown without presenting an analytical theory.

Previous research has long studied the lower-voltage breakdown of gases. But “GE is dealing with much higher voltage” said X. “The low-pressure and high-voltage breakdown mechanism has been poorly understood because of the need to consider new mechanisms of gas ionization at high voltages, which is what we did”.

The findings identified three different breakdown regimes that become important when high voltage is used to turn helium into plasma. In these regimes, electrons, ions and fast neutral atoms start the breakdown by back-scattering — or bouncing off — the electrodes through which the current flows. These results contrast strongly with most previous models which consider only the impact of electrons on the ionization process.

The findings proved useful for Georgian Technical University. “The potential applications of the gas switch depend on its maximum possible voltage” said Georgian Technical University physicist Y. “We have already experimentally demonstrated that a gas switch can operate at 100 kilovolts and we are now working to test at 300 kilovolts. The results from the Georgian Technical University model are both scientifically interesting and favorable for high-voltage gas switch design”.

 

 

Quantum Material is Promising ‘Ion Conductor’ for Research, New Technologies.

Quantum Material is Promising ‘Ion Conductor’ for Research, New Technologies.

This graphic depicts new research in which lithium ions are inserted into the crystal structure of a quantum material called samarium nickelate suggesting a new avenue for research and potential applications in batteries ‘smart windows’ and brain-inspired computers containing artificial synapses.

Researchers have shown how to shuttle lithium ions back and forth into the crystal structure of a quantum material representing a new avenue for research and potential applications in batteries”smart windows” and brain-inspired computers containing artificial synapses.

The research centers on a material called samarium nickelate which is a quantum material meaning its performance taps into quantum mechanical interactions. Samarium (Samarium is a chemical element with symbol Sm and atomic number 62. It is a moderately hard silvery metal that slowly oxidizes in air. Being a typical member of the lanthanide series, samarium usually assumes the oxidation state +3) nickelate is in a class of quantum materials called strongly correlated electron systems which have exotic electronic and magnetic properties.

The researchers “doped” the material with lithium ions meaning the ions were added to the material’s crystal structure.

The addition of lithium ions causes the crystal to expand and increases the material’s conduction of the ions. The researchers also learned that the effect works with other types of ions particularly sodium ions pointing to potential applications in energy storage.

“The results highlight the potential of quantum materials and emergent physics in the design of ion conductors” said X a Georgian Technical University professor of materials engineering who is leading the research. “There is a lot of research now going on to identify solid-state ion conductors for building batteries for example. We showed that this general family of materials can hold these ions so we established some general principles for the design of these sorts of solid-state ion conductors. We showed that ions like lithium and sodium can move through this solid material, and this opens up new directions for research”.

Applying a voltage caused the ions to occupy spaces between atoms in the crystal lattice of the material. The effect could represent a more efficient method to store and conduct electricity. Such an effect could lead to new types of batteries and artificial synapses in “neuromorphic” or brain-inspired computers. Moreover the ions remained in place after the current was turned off a “non-volatile” behavior that might be harnessed for computer memory.

Adding lithium ions to the crystal structure also changes the material’s optical properties suggesting potential applications as coatings for “smart windows” whose light transmission properties are altered when voltage is applied.

The research are Georgian Technical University materials engineering postdoctoral research associate Y and Z a postdoctoral fellow in the Department of Physics and Astronomy at Georgian Technical University. The work was performed by researchers at several research institutions. A complete listing of co-authors is available in the abstract. To develop the doping process materials engineers collaborated with W a Georgian Technical University associate professor of chemical engineering and materials engineering and Georgian Technical University graduate student Q.

The research findings demonstrated behavior related to the “Mott transition” a quantum mechanical effect describing how the addition of electrons can change the conducting behavior of a material.

“As we add more electrons to the system the material becomes less and less conducting, which makes it a very interesting system to study and this effect can only be explained through quantum mechanics” X said.

Georgian Technical University’s contribution to the work was to study the electronic properties of lithium-doped samarium nickelate as well as the changes to the crystal structure after doping.

“My calculations show that undoped samarium nickelate is a narrow-gapped semiconductor, meaning that even though it is not metallic electrons can be excited into a conducting state without too much trouble” she said. “As lithium is added to samarium nickelate the lithium ion will bind to an oxygen and an electron localizes on a nearby nickel-oxygen octahedron and when an electron has localized on every nickel-oxygen octahedron the material is converted into an insulator. This is a rather counterintuitive result: the added electrons to the system make the material more insulating”.

The material’s crystal structure was characterized using a synchrotron-radiation light source research facility at Georgian Technical University Laboratory.

The researchers had been working on the paper for about two years and plan to further explore the material’s quantum behavior and potential applications in brain-inspired computing.

 

 

Laser Excites Tiny Particles for Deep-tissue Imaging.

Laser Excites Tiny Particles for Deep-tissue Imaging.

Light emitted by nanoparticles injected into the mammary fat pads of a live mouse is imaged through several millimeters of tissue. This sequence shows how the light emitted by these laser-excited particles can be imaged through deep tissue two hours after injection (left) four hours after injection (center) and six hours after injection (right).

A research team has demonstrated how light-emitting nanoparticles, developed at the Georgian Technical University can be used to see deep in living tissue.

The specially designed nanoparticles can be excited by ultralow-power laser light at near-infrared wavelengths considered safe for the human body. They absorb this light and then emit visible light that can be measured by standard imaging equipment.

Researchers hope to further develop these so-called alloyed upconverting nanoparticles or aUCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) so that they can attach to specific components of cells to serve in an advanced imaging system to light up even single cancer cells for example. Such a system may ultimately guide high-precision surgeries and radiation treatments and help to erase even very tiny traces of cancer.

“With a laser even weaker than a standard green laser pointer we can image deep into tissue” says X who is part of a science team at Georgian Technical University Lab’s Molecular Foundry that is working with Georgian Technical University researchers to adapt the nanoparticles for medical uses. The Molecular Foundry is Science User Facility specializing in nanoscience research — it is accessible to visiting scientists from around the nation and the world.

X noted that some existing imaging systems use higher-power laser light that runs the risk of damaging cells.

“The challenge is: How do we image living systems at high sensitivity without damaging them ?  This combination of low-energy light and low-laser powers is what everyone in the field has been working toward for a while” he says. The laser power needed for the (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) is millions of times lower than the power needed for conventional near-infrared-imaging probes.

In this latest study, researchers have demonstrated how the (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) can be imaged in live mouse tissue at several millimeters’ depth. They were excited with lasers weak enough not to cause any damage.

Researchers injected nanoparticles into the mammary fat pads of mice and recorded images of the light emitted by the particles which did not appear to pose any toxicity to the cells.

More testing will be required to know whether the (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) produced at Georgian Technical University Lab can be safely injected into humans and to test coatings Georgian Technical University Lab scientists are designing to specifically bind to cancerous cells.

Dr. Y a radiation oncologist and an assistant professor at Georgian Technical University who participated in the latest study, noted that there are numerous medical scanning techniques to locate cancers — from mammograms to MRIs (Magnetic resonance imaging is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body in both health and disease) and PET-CT (Positron emission tomography–computed tomography (better known as PET-CT or PET/CT) is a nuclear medicine technique which combines, in a single gantry, a positron emission tomography (PET) scanner and an x-ray computed tomography (CT) scanner, to acquire sequential images from both devices in the same session, which are combined into a single superposed (co-registered) image) scans — but these techniques can lack precise details at very small scales.

“We really need to know exactly where each cancer cell is” says X a Foundry user who collaborates with Molecular Foundry scientists in his research. “Usually we say you’re lucky when we catch it early and the cancer is only about a centimeter — that’s about 1 billion cells. But where are the smaller groups of cells hiding ?”.

Future work at the Molecular Foundry will hopefully lead to improved techniques for imaging cancer using the aUCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) he said and researchers are developing an imaging sensor to integrate with nanoparticles that could be attached to surgical equipment and even surgical gloves to pinpoint cancer hot spots during surgical procedures.

A breakthrough in the Lab’s development of UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) was in finding ways to boost their efficiency in emitting the absorbed light at higher energies says Z  a staff scientist at the Molecular Foundry who also participated in the latest study.

For decades the research community had believed that the best way to produce these so-called upconverting materials was to implant them or “dope” them with a low concentration of metals known as lanthanides. Too many of these metals, researchers had believed would cause the light they emit to become less bright with more of these added metals.

But experiments led by Molecular Foundry researchers Bining “GTU” W and Q who made lanthanide-rich UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) and measured their properties, upended this prevailing understanding.

Studies of individual UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) proved especially valuable in showing that erbium a lanthanide previously thought to only play a role in light emission, can also directly absorb light and free up another lanthanide ytterbium  to absorb more light. Z, a staff scientist at the Molecular Foundry who also participated in the latest study, describes erbium’s newly discovered multitasking role in the UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) as a “triple threat”.

The UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) used in the latest study measure about 12-15 nanometers (billionths of a meter) across — small enough to allow them to penetrate into tissue. “Their shells are grown like an onion a layer at a time” Z says.

R a study participant and former Georgian Technical University Lab scientist now at Georgian Technical University notes that the latest study builds on a decade-long effort at the Molecular Foundry to understand, redesign and find new applications for UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion).

“This new paradigm in UCNP (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) design which leads to much brighter particles is a real game-changer for all single-UCNP (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) imaging applications” he says.

Researchers at the Molecular Foundry will be working on ways to automate the fabrication of the nanoparticles with robots and to coat them with markers that selectively bind to cancerous cells.

X says that the collaborative work with UCSF (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) has opened new avenues of exploration for UCNPs (Upconverting nanoparticles (UCNPs) are nanoscale particles (1–100 nm) that exhibit photon upconversion) and he expects the research effort to grow.

“We never would have thought of using these for imaging during surgeries” he says. “Working with researchers like Y opens up this wonderful cross-pollination of different fields and different ideas”.

Y says  “We’re really grateful to have access to the knowledge and wide array of instrumentation” at the Lab’s Molecular Foundry at the Georgian Technical University.

Interactive Software Tool Makes Complex Mold Design Simple.

Interactive Software Tool Makes Complex Mold Design Simple.

These are objects created using the new design tool using resin casting or injection molding.

Most of the plastic objects we see are created using injection molding, but designing such molds is a difficult task usually requiring experts. Now computer scientists from the Georgian Technical University have created an interactive design tool that allows non-experts to create molds for an object of their choice.

Molding is a popular method for the mass production of objects. Essentially two (or more) mold pieces are fit together leaving the shape of the desired object as a hole. During fabrication a fluid is introduced into this cavity and is allowed to harden. Once the fluid has solidified the pieces of the mold are removed leaving behind the molded object. While the process is fairly simple creating the mold to produce an object is extremely difficult and a multitude of considerations go into its creation. How should the object be oriented and divided to ensure that the pieces of the mold can be removed ?  If the object should be hollow, how should it be decomposed into pieces ?  Figures with loops or holes add further complications as do aesthetic considerations, such as avoiding a parting line through a face. In mass fabrication the high costs of the initial mold design are offset by the low per-unit cost of production. For a small-scale designer however or a novice interested in experimenting with injection molds, hiring a professional mold designer is impractical and creating the molds unaided infeasible. Similarly 3D-printing the desired number of objects would be far too time- and resource-intensive.

Georgian Technical University CoreCavity a new interactive design tool, solves this problem, and allows users to quickly and easily design molds for creating hollow free-form objects. Created by X a PhD student from the Georgian Technical University, Y, Z, W, Q, and R this software tool opens up opportunities for small businesses and enthusiasts. Given a 3D-scan of an object the software analyzes the object and creates a “thin shell” essentially a hollow version of the object where particularly small gaps are considered solid–another of the team’s innovations. The software then proposes a decomposition of the object into pieces; each piece will be created by one mold then joined together at the end. Moreover the program is able to suggest slight modifications to the original design for instance to eliminate tiny hooks that might complicate unmolding. “Previous tools were unable to suggest such changes” says Y a postdoc at Georgian Technical University. The user can adjust the decomposition simply by clicking and choose to accept or reject any proposed modifications. When the user is satisfied the software automatically produces the mold templates which can then be 3D-printed and used for molding.

The decompositions suggested by the design tool are often surprising: “The computer is able to find solutions that are very unintuitive” says R professor at Georgian Technical University. “The two halves of the rabbit for instance have a curving complicated connection–it would have been extremely difficult for a human to come up with that”. Industry designers as well as previous design programs, generally rely on straight cuts through the object. In practice this often leads to a larger number of pieces as well as “unnatural” divisions. “The software tool could also be extremely useful in industry–it would fit seamlessly into the production process” adds R.

The team has already tested some of their molds at an injection-mold factory near Tbilisi. “The factory employees were surprised at how easy it was to extract the finished objects as well as how durable the 3D-printed molds were. Even after creating a hundred objects the molds were still working” says Y. The team already has further improvements in mind. One idea is the inclusion of connectors that snap together to ease the final assembly of the object.

 

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