Pioneering a new recycling approach led to a big win for Re-Wind USA, a Georgia Tech research team led by Russell Gentry. The team has won the first phase of the Department of Energy's Wind Turbine Materials Recycling Prize, receiving $75,000 and an invitation to compete in the final phase.

"Our innovation for end-of-service wind turbine blades is both simple and elegant – at its core, our technology captures all the embodied energy in the composite materials in the blade," said Gentry, professor in the School of Architecture.

"The Re-Wind Network has pioneered structural recycling, the only of a number of competing technologies that upcycles the material of the blade and preserves the embodied energy from manufacturing," Gentry said.

"Little additional energy is used to remanufacture the blade and the life of the blade, typically 20 years, is extended at least 50 years. This is a win-win solution from an environmental and economic perspective."

Other methods for dealing with decommissioned wind blades involve mechanical grinding and landfilling of subsequent waste, an expensive and energy-intensive process, he said.

Team members include Gentry, Sakshi Kakkad, Cayleigh Nicholson, Mehmet Bermek, and Larry Bank, from the School of Architecture; Gabriel Ackall, Yulizza Henao, and Aeva Silverman, from the School of Civil and Environmental Engineering;  and Eric Johansen, a business consultant from Fiberglass Trusses Inc.

The team is part of the Re-Wind Network, a multinational research and development network which develops large-scale infrastructure projects from decommissioned wind turbine blades. 

Re-Wind's pedestrian bridges, known as BladeBridges, have already captured media attention. Two more BladeBridges are expected in Atlanta in 2024, Gentry said. Re-Wind has also developed, prototyped, and tested transmission poles made from blade segments. The team's other proposals include culverts, barriers, and floats.

Juan-Pablo Correa-Baena leads the Materials for Solar Energy Harvesting and Conversion research initiative for the Institute for Materials (IMat) and Strategic Energy Institute at Georgia Tech. In this role, he is working to create a community around solar energy harvesting and conversion at Georgia Tech. He aims to integrate photovoltaic, photodetectors, and related devices into IMaT-related research; energize research in these areas at Georgia Tech at large; and consolidate the expertise of the many research groups working on or around photovoltaics/photodetectors that will allow researchers to target interdisciplinary research funding opportunities. He is also an assistant professor and the Goizueta Junior Faculty Rotating Chair in the School of Materials Science and Engineering.

In this brief Q&A, Correa-Baena discusses his research focus, how it relates to materials research, and the impact of this initiative.

What is your field of expertise and at what point in your life did you first become interested in this area?

I am an expert in materials for energy harvesting and conversion. I first became interested in this topic when I was an undergraduate student and started thinking about the future of energy production. 

What questions or challenges sparked your current materials research?

I was born and raised in a country where fossil fuels dominate the energy production landscape, yet where renewables are readily available. Colombia is a large producer of oil but also boasts a huge potential for solar energy production. This juxtaposition always puzzled me growing up. As a researcher in this field, I want to ensure that all countries around the world have access to solar energy, by helping lower deployment cost. 

Why is your initiative important to the development of Georgia Tech’s Materials research strategy?

There is a growing need to expand our research footprint at Georgia Tech with regard to photovoltaics. This is especially important with the impact of the photovoltaic industry presence in Georgia. My initiative is focusing on galvanizing activities around photovoltaic research at Georgia Tech that can benefit our footprint globally as well as locally with industry partners.

What are the broader global and social benefits of the research you and your team conduct?

The main benefit of the research we do is to the photovoltaic industry, which we hope to engage through cutting-edge research at Georgia Tech.

What are your plans for engaging a wider Georgia Tech faculty pool with IMat research?

I am planning to organize an internal workshop, as well as a session on photovoltaics in the Next Generation of Energy Materials Symposium to be held in March 2024 at Georgia Tech. In addition, as part of my efforts to engage the Georgia Tech community at large, I am working to create a website that will connect the Georgia Tech community working towards advancing photovoltaic capabilities for future manufacturing advancements. 

In keeping with a strong strategic focus on AI for the 2023-2024 Academic Year, the Institute for Data Engineering and Science (IDEaS) has announced the winners of its 2023 Seed Grants for Thematic Events in AI and Cyberinfrastructure Resource Grants to support research in AI requiring secure, high-performance computing capabilities. Thematic event awards recipients will receive $8K to support their proposed workshop or series and Cyberinfrastructure winners will receive research support consisting of 600,000 CPU hours on the AMD Genoa Server as well as 36,000 hours of NVIDIA DGX H-100 GPU server usage and 172 TB of secure storage.

Congratulations to the award winners listed below!

Thematic Events in AI Awards

Proposed Workshop: “Foundation of scientific AI (Artificial Intelligence) for Optimization of Complex Systems”
Primary PI: Peng Chen, Assistant Professor, School of Computational Science and Engineering

Proposed Series: “Guest Lecture Seminar Series on Generative Art and Music”
Primary PI: Gil Weinberg, Professor, School of Music

Cyber-Infrastructure Resource Awards

Title: Human-in-the-Loop Musical Audio Source Separation
Topics: Music Informatics, Machine Learning
Primary PI: Alexander Lerch, Associate Professor, School of Music
Co-PIs: Karn Watcharasupat, Music Informatics Group | Yiwei Ding, Music Informatics Group | Pavan Seshadri, Music Informatics Group

Title: Towards A Multi-Species, Multi-Region Foundation Model for Neuroscience
Topics: Data-Centric AI, Neuroscience
Primary PI: Eva Dyer, Assistant Professor, Biomedical Engineering

Title: Multi-point Optimization for Building Sustainable Deep Learning Infrastructure
Topics: Energy Efficient Computing, Deep Learning, AI Systems OPtimization
Primary PI: Divya Mahajan, Assistant Professor, School of Electrical and Computer Engineering, School of Computer Science

Title: Neutrons for Precision Tests of the Standard Model
Topics: Nuclear/Particle Physics, Computational Physics
Primary PI: Aaron Jezghani - OIT-PACE

Title: Continual Pretraining for Egocentric Video
Primary PI: : Zsolt Kira, Assistant Professor, School of Interactive Computing
Co-PI: Shaunak Halbe, Ph.D. Student, Machine Learning

Title: Training More Trustworthy LLMs for Scientific Discovery via Debating and Tool Use
Topics: Trustworthy AI, Large-Language Models, Multi-Agent Systems, AI Optimization
Primary PIs: Chao Zhang, School of Computational Science and Engineering & Bo Dai, College of Computing

Title: Scaling up Foundation AI-based Protein Function Prediction with IDEaS Cyberinfrastructure
Topics: AI, Biology
Primary PI: Yunan Luo, Assistant Professor, School of Computational Science and Engineering        

• Christa M. Ernst

The Institute for Data Engineering and Science, in conjunction with several Interdisciplinary Research Institutes (IRIs) at Georgia Tech, have awarded seven teams of researchers from across the Institute a total of $105,000 in seed funding geared to better position Georgia Tech to perform world-class interdisciplinary research in data science and artificial intelligence development and deployment. 

The goals of the funded proposals include identifying prominent emerging research directions on the topic of AI, shaping IDEaS future strategy in the initiative area, building an inclusive and active community of Georgia Tech researchers in the field that potentially include external collaborators, and identifying and preparing groundwork for competing in large-scale grant opportunities in AI and its use in other research fields.

Below are the 2023 recipients and the co-sponsoring IRIs:

Proposal Title: "AI for Chemical and Materials Discovery" + “AI in Microscopy Thrust”
PI: Victor Fung, CSE | Vida Jamali, ChBE| Pan Li, ECE | Amirali Aghazadeh Mohandesi, ECE
Award: $20k (co-sponsored by IMat)

Overview: The goal of this initiative is to bring together expertise in machine learning/AI, high-throughput computing, computational chemistry, and experimental materials synthesis and characterization to accelerate material discovery. Computational chemistry and materials simulations are critical for developing new materials and understanding their behavior and performance, as well as aiding in experimental synthesis and characterization. Machine learning and AI play a pivotal role in accelerating material discovery through data-driven surrogate models, as well as high-throughput and automated synthesis and characterization.

Proposal Title: " AI + Quantum Materials”
PI: Zhigang JIang, Physics | Martin Mourigal, Physics
Award: $20k (Co-Sponsored by IMat)

Overview: Zhigang Jiang is currently leading an initiative within IMAT entitled “Quantum responses of topological and magnetic matter” to nurture multi-PI projects. By crosscutting the IMAT initiative with this IDEAS call, we propose to support and feature the applications of AI on predictive and inverse problems in quantum materials. Understanding the limit and capabilities of AI methodologies is a huge barrier of entry for Physics students, because researchers in that field already need heavy training in quantum mechanics, low-temperature physics and chemical synthesis. Our most pressing need is for our AI inclined quantum materials students to find a broader community to engage with and learn. This is the primary problem we aim to solve with this initiative.

PI: Jeffrey Skolnick, Bio Sci | Chao Zhang, CSE
Proposal Title: Harnessing Large Language Models for Targeted and Effective Small Molecule 4 Library Design in Challenging Disease Treatment
Award: $15k (co-sponsored by IBB)

Overview: Our objective is to use large language models (LLMs) in conjunction with AI algorithms to identify effective driver proteins, develop screening algorithms that target appropriate binding sites while avoiding deleterious ones, and consider bioavailability and drug resistance factors. LLMs can rapidly analyze vast amounts of information from literature and bioinformatics tools, generating hypotheses and suggesting molecular modifications. By bridging multiple disciplines such as biology, chemistry, and pharmacology, LLMs can provide valuable insights from diverse sources, assisting researchers in making informed decisions. Our aim is to establish a first-in-class, LLM driven research initiative at Georgia Tech that focuses on designing highly effective small molecule libraries to treat challenging diseases. This initiative will go beyond existing AI approaches to molecule generation, which often only consider simple properties like hydrogen bonding or rely on a limited set of proteins to train the LLM and therefore lack generalizability. As a result, this initiative is expected to consistently produce safe and effective disease-specific molecules.

PI: Yiyi He, School of City & Regional Plan | Jun Rentschler, World Bank
Proposal Title: “AI for Climate Resilient Energy Systems”
Award: $15k (co-sponsored by SEI)

Overview: We are committed to building a team of interdisciplinary & transdisciplinary researchers and practitioners with a shared goal: developing a new framework which model future climatic variations and the interconnected and interdependent energy infrastructure network as complex systems. To achieve this, we will harness the power of cutting-edge climate model outputs, sourced from the Coupled Model Intercomparison Project (CMIP), and integrate approaches from Machine Learning and Deep Learning models. This strategic amalgamation of data and techniques will enable us to gain profound insights into the intricate web of future climate-change-induced extreme weather conditions and their immediate and long-term ramifications on energy infrastructure networks. The seed grant from IDEaS stands as the crucial catalyst for kick-starting this ambitious endeavor. It will empower us to form a collaborative and inclusive community of GT researchers hailing from various domains, including City and Regional Planning, Earth and Atmospheric Science, Computer Science and Electrical Engineering, Civil and Environmental Engineering etc. By drawing upon the wealth of expertise and perspectives from these diverse fields, we aim to foster an environment where innovative ideas and solutions can flourish. In addition to our internal team, we also have plans to collaborate with external partners, including the World Bank, the Stanford Doerr School of Sustainability, and the Berkeley AI Research Initiative, who share our vision of addressing the complex challenges at the intersection of climate and energy infrastructure.

PI: Jian Luo, Civil & Environmental Eng | Yi Deng, EAS
Proposal Title: “Physics-informed Deep Learning for Real-time Forecasting of Urban Flooding”
Award: $15k (co-sponsored by BBISS)

Overview: Our research team envisions a significant trend in the exploration of AI applications for urban flooding hazard forecasting. Georgia Tech possesses a wealth of interdisciplinary expertise, positioning us to make a pioneering contribution to this burgeoning field. We aim to harness the combined strengths of Georgia Tech's experts in civil and environmental engineering, atmospheric and climate science, and data science to chart new territory in this emerging trend. Furthermore, we envision the potential extension of our research efforts towards the development of a real-time hazard forecasting application. This application would incorporate adaptation and mitigation strategies in collaboration with local government agencies, emergency management departments, and researchers in computer engineering and social science studies. Such a holistic approach would address the multifaceted challenges posed by urban flooding. To the best of our knowledge, Georgia Tech currently lacks a dedicated team focused on the fusion of AI and climate/flood research, making this initiative even more pioneering and impactful.

Proposal Title: “AI for Recycling and Circular Economy”
PI: Valerie Thomas, ISyE and PubPoly | Steven Balakirsky, GTRI
Award: $15k (co-sponsored by BBISS)

Overview: Most asset management and recycling use technology that has not changed for decades. The use of bar codes and RFID has provided some benefits, such as for retail returns management. Automated sorting of recyclables using magnets, eddy currents, and laser plastics identification has improved municipal recycling. Yet the overall field has been challenged by not-quite-easy-enough identification of products in use or at end of life. AI approaches, including computer vision, data fusion, and machine learning provide the additional capability to make asset management and product recycling easy enough to be nearly autonomous. Georgia Tech is well suited to lead in the development of this application. With its strength in machine learning, robotics, sustainable business, supply chains and logistics, and technology commercialization, Georgia Tech has the multi-disciplinary capability to make this concept a reality, in research and in commercial application.

Proposal Title: “Data-Driven Platform for Transforming Subjective Assessment into Objective Processes for Artistic Human Performance and Wellness”
PI: Milka Trajkova, Research Scientist/School of Literature, Media, Communication | Brian Magerko, School of Literature, Media, Communication
Award: $15k (co-sponsored by IPaT)

Overview: Artistic human movement at large, stands at the precipice of a data-driven renaissance. By leveraging novel tools, we can usher in a transparent, data-driven, and accessible training environment. The potential ramifications extend beyond dance. As sports analytics have reshaped our understanding of athletic prowess, a similar approach to dance could redefine our comprehension of human movement, with implications spanning healthcare, construction, rehabilitation, and active aging. Georgia Tech, with its prowess in AI, HCI, and biomechanics is primed to lead this exploration. To actualize this vision, we propose the following research questions with ballet as a prime example of one of the most complex types of artistic movements: 1) What kinds of data - real-time kinematic, kinetic, biomechanical, etc. captured through accessible off-the-shelf technologies, are essential for effective AI assessment in ballet education for young adults?; 2) How can we design and develop an end-to-end ML architecture that assesses artistic and technical performance?; 3) What feedback elements (combination of timing, communication mode, feedback nature, polarity, visualization) are most effective for AI- based dance assessment?; and 4) How does AI-assisted feedback enhance physical wellness, artistic performance, and the learning process in young athletes compared to traditional methods?

-         Christa M. Ernst

Lisa Marks is launching the ancient craft of fishing villages into space vehicle design. Her work adapting traditional textile handcraft to modern problems created a unique opportunity for collaboration cleaning up space debris.

According to NASA's Orbital Debris Program Office (OPDO), this debris jeopardizes future space projects. Large objects like rocket bodies and non-functional satellites are the source of fragmentation debris.

The OPDO website says removal of even five of the highest-risk objects per year could stabilize the low Earth orbit debris environment.

A research team with members from the Georgia Tech Research Institute, the Aerospace Systems Design Laboratory, and the Space Systems Design Laboratory has developed a concept using a net to capture and de-orbit large debris.

A mutual connection at Tech's GVU recommended that the team speak to Lisa Marks, assistant professor in the School of Industrial Design, based on her work combining traditional textile with new materials and methods.

Putting Textiles in Space Requires Creative Expertise

“There’s a lot of different projects on space debris happening all around the world,” Marks said, “and there’ve been a few concept papers talking about using a net.”

“But all the drawings of the net are basic concepts, just a square with a few hatches through it. No one has figured out what that net might be.”

Marks researches ways to combine traditional textile handcraft with algorithmic modeling. “I specialize in analyzing the shape of every stitch and how we can use that stitch differently. Can we create new patterns through coding, or make it larger and out of wood?”

“It allows me to think really creatively about how we can use different textiles.”

This innovative, exploratory approach is a natural fit to create a net for a job no has ever done. “There's a lot of technical considerations with this,” Marks said. 

“It must pack incredibly small, weigh very little, and still be strong enough to capture and drag a rocket fuselage. There are considerations just for a material to exist in space. It needs to have low UV reactivity, low off gassing.”

“We need to understand every single little aspect of each of these techniques in order to do this.”

Static Nets Catch Fish; Slippery Nets Catch Rockets

Marks is working with Teflon, using the same knots used for fishing nets, but the non-traditional material means the nets work differently than fishing nets, she said. “These knots are made to be static, because you don’t want fish to get through the nets. But because Teflon is so slippery, the knots move around.”

“I think it will help the net’s strength, because the net will deform around irregular shapes before it breaks. What makes it unsuitable for fishing and annoying to work with becomes a huge benefit for what we need it to do.”

Some traditional handcraft techniques are dying out, and Marks sees projects like this as a reason preserving these techniques is important. “We don’t know what problems we’re going to have to solve in the future, and these crafts can be used in really surprising ways.”

“I would not have thought, ‘Netted filet lace, that’s how we’re going to solve a space problem!’ But if we lose this type of lace, we can’t solve space problems with it.”

Georgia Tech Battery Day opened with a full house on March 30, 2023, at the Global Learning Center in the heart of Midtown Atlanta. More than 230 energy researchers and industry participants convened to discuss and advance energy storage technologies via lightning talks, panel discussions, student poster sessions, and networking sessions throughout the day. Matt McDowell, associate professor in the Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering as well as the initiative lead for energy storage at the Strategic Energy Institute and the Institute of Materials, started the day with an overview of the relevant research at Georgia Tech. His talk shed light on Georgia becoming the epicenter of the battery belt of the Southeast with recent key industry investments and the robust energy-storage research community present at Georgia Tech.

According to the Metro Atlanta Chamber of Commerce, since 2020, Georgia has had $21 billion invested or announced in EV-related projects with 26,700 jobs created. With investments in alternate energy technologies growing exponentially in the nation, McDowell revealed Georgia Tech is well-positioned to make an impact on the next generation energy storage technologies and extended an open invitation to industry members to partner with researchers. As one of the most research-intensive academic institutions in the nation, Georgia Tech has more than $1.3 billion in research and other sponsored funds and produces the highest number of engineering doctoral graduates in the nation.

“More than half of Georgia Tech's strategic initiatives are focused on improving the efficiency and sustainability of energy storage, supporting clean energy sources, and mitigating climate change," said Chaouki Abdallah, executive vice president for research at Georgia Tech. "As a leader in battery technologies research, we are bringing together engineers, scientists, and researchers in academia and industry to conduct innovative research to address humanity's most urgent and complex challenges, and to advance technology and improve the human condition."

Rich Simmons, director of research and studies at the Strategic Energy Institute moderated the first panel discussion that included industry panelists from Panasonic, Cox Automotive, Bluebird Corp., Delta Airlines and Hyundai Kia. The panelists analyzed the opportunities and challenges in the electric transportation sector and explained their current focus areas in energy storage. The panel affirmed that while EVs have been around for more than three decades, the industry is still in its infancy and there is a huge potential to advance technology in all areas of the EV sector.

The discussion also brought forth important factors like safety, lifecycle, and sustainability in driving innovations in the energy storage sector. The attendees also discussed supply chain issues, a hot topic in almost all sectors of the nation, and the need to develop a diversity of resources for more resilient systems. The industry panelists affirmed a strong interest in partnering on research and development projects as well as gaining access to university talent.

Gleb Yushin, professor in the School of Material Science and Engineering and co-founder of Sila Nanotechnologies Inc., presented his battery research and development success story at Georgia Tech. Sila is a Georgia Tech start-up founded in 2011 and has produced the world’s first commercially available high-silicon-content anode for lithium-ion batteries in 2021. Materials manufactured in its U.S. facilities will power electric vehicles starting with the Mercedes-Benz G-class series in 2023.

The program included lightning talks on cutting-edge research in battery materials, specifically solid-state electrolytes and plastic crystal embedded elastomer electrolytes (PCEEs) by Seung Woo Lee, associate professor in the George W. Woodruff School of Mechanical Engineering. Santiago Grijalva, professor in the School of Electrical and Computer Engineering, discussed the challenges and opportunities for the successful use of energy storage for the grid.

Tequila Harris, initiative lead for Energy and Manufacturing and professor in the George W. Woodruff School of Mechanical Engineering, spoke to energy materials and carbon-neutral applications. Presenting a case for roll-to-roll manufacturing of battery materials, Harris said that the need for quick, high yield manufacturing processes and alternative materials and structures were important considerations for the industry.

Materials, manufacturing, and market opportunities were the topic for the next panel moderated by McDowell and included panelists from Albemarle, Novelis, Solvay, Truist Securities, and Energy Impact Partners. Analyzing the current challenges, the panelists brought up hiring and workforce development, increasing capacity and building the ecosystem, decarbonizing existing processes, and understanding federal policies and regulations.

Lightning talks later in the afternoon by researchers at Georgia Tech touched on the latest developments in the cross-disciplinary research bridging mechanical engineering, chemical engineering, AI manufacturing, and material science in energy storage research. Topics included safe rechargeable batteries with water-based electrolytes (Nian Liu, assistant professor, School of Chemical & Biomolecular Engineering), AI-accelerated manufacturing (Aaron Stebner, associate professor, School of Materials Science and Engineering), battery recycling (Hailong Chen, associate professor, School of Materials Science and Engineering), and parametric life-cycle models for a solid-state battery circular economy (Ilan Stern, research scientist from GTRI).

Another industry panel on grid, infrastructure and communities moderated by Faisal Alamgir, professor in the School of Materials Science and Engineering included panelists from Southern Company, Stryten Energy, and the Metro Atlanta Chamber of Commerce. Improving the grid resiliency and storage capacity; proximity to the energy source; optimizing and implementing new technology in an equitable way; standardization of the evolving business models; economic development and resource building through skilled workforce; educating the consumer; and getting larger portions of the grid with renewable energy were top of mind with the panelists.

“Energy-storage-related R&D efforts at Georgia Tech are extensive and include next-gen battery chemistry development, battery characterization, recycling, and energy generation and distribution,” said McDowell. “There is a tremendous opportunity to leverage the broad expertise we bring to advance energy storage systems. Battery Day has been hugely successful in not only bringing this expertise to the forefront, but also in affirming the need for continued interaction with the companies engaged in this arena. Our mission is to serve as a centralized focal point for research interactions between companies in the battery/EV space and faculty members on campus.”

Idling at a crossroads no longer, the automotive industry is embracing electrification like never before. With more electric vehicles purchased in 2022 than any year prior, consumers are beginning to follow their lead. Yet, while opportunity abounds, new challenges will require an innovative approach to ensure a sustainable and accessible electric future for all.

With historic investments from major players in the EV space, including Rivian, Kia, and Hyundai, the state of Georgia is uniquely positioned to serve as a leader in this effort. As the state's leading research institute, Georgia Tech is on the cutting edge of the movement. 

The transportation sector is the largest greenhouse gas emitter in the U.S. at nearly 30%, with passenger vehicles accounting for around 80% of the sector's total output1 as of 2019. Electric vehicles are widely regarded as a budding solution to reduce emissions, but even as both demand and production continue to increase, EVs currently account for around 1% of the cars on America's roadways. 

From the supply chain to the infrastructure needed to support alternative-fuel vehicles alongside consumer hesitancy, achieving the goals set by both the public and private sectors — including the Biden Administration's target of EVs making up at least 50% of new car sales by 2030 — will not be easy. Through research and development, policy, and collaboration, Tech experts are working toward finding solutions that will serve as catalysts during this transitionary period for the environment and the way Americans drive.

Check out the full story. 

Marta Hatzell leads the Materials and Interfaces for Catalysis and Separations research initiative for the Institute for Materials at Georgia Tech. In this role, she works to bring together faculty who are working on materials-related issues aimed at decarbonizing industrial separations and catalysis, identifying the bottlenecks for new materials, and assessing their long-term impacts. Hatzell also leads the Industrial Decarbonization and Clean Catalysis initiative in the Strategic Energy Institute and is an associate professor in the Woodruff School of Mechanical Engineering.

In this brief Q&A, Hatzell discusses her research focus, how it relates to materials research, and the global impact of this initiative.

What is your field of expertise and at what point in your life did you first become interested in this area?

My field of research focuses on electrochemical materials for separations and catalysis. As an undergraduate I became very interested in the energy transition. At that point in time, it was clear that there was a need to move to a more electrified power and transportation sector, but it was unclear how to address decarbonization in the industrial sector. That is when I became interested in electrochemistry, electrochemical materials, and electrochemical engineering, as these skill sets seemed crucial to the energy transition. I've been working in this area ever since! At Georgia Tech, my group is interested in decarbonizing hard-to-abate industries like chemical manufacturing, electrofuels, desalination, and industrial separations. 

What questions or challenges sparked your current materials research?

With all the new technologies and processes being designed around electrochemistry, there are so many open questions about what materials can be used for separations and catalysis. Materials for modern-day industrial separations and catalysis have been largely optimized. However, as we move toward new electrified technologies, we can rethink how we design materials and systems. 

Why is your initiative important to the development of Georgia Tech’s Materials research strategy?

Decarbonizing chemical manufacturing is incredibly important for the globe to meet Net Zero carbon emissions and mitigate issues related to climate change. And, at the heart of this transition is the discovery and design of new materials. We need materials that have high activity and selectivity, are durable, and are cost-effective in order to implement these new processes in the industrial sector.

What are the broader global and social benefits of the research you and your team conduct?

We work on a number of catalytic and separations-based processes. One in particular that has global and societal benefits is the synthesis of ammonia for synthetic fertilizers. Today, half of the world's population depends on synthetic fertilizers, and nearly 100% of these fertilizers are made using one catalytic process. Unfortunately, this current process emits a significant amount of CO2, and therefore we are looking at electrified catalytic processes which can decrease or eliminate this carbon footprint. 

What are your plans for engaging a wider GT faculty pool with IMat research?

With so many talented researchers on campus, we are always looking for new ways to bring faculty together to engage in larger efforts. Thus, our primary plans focus on efforts that bring faculty together. We are currently in the process of planning workshops and seminars to bring together faculty who have interests in catalysis and reaction engineering. 

A group of physicists, including two Georgia Tech researchers, have discovered a new quantum state. The study, published in the journal Nature, uncovered novel looping currents flowing along the edges of octahedral cells in a crystal of Mn3Si2Te6, which allowed for a billion percent increase in the material’s electric conductivity. The findings could lead to a new paradigm for quantum devices and superconductors.

The team consisted of Georgia Tech theoretical physicists Sami Hakani and Itamar Kimchi, along with experimental physicists Feng Ye (Oak Ridge National Lab), Lance DeLong (University of Kentucky), and, from the University of Colorado at Boulder: Gang Cao, Yifei Ni, Yu Zhang, and Hengdi Zhao. The group was drawn to the research after their previous study investigated the same material.

“Because this material did not fit any preexisting models, we had to develop new ideas to understand it,” said Georgia Tech graduate student Hakani, who played a key role in developing the theory. “These new ideas will help us study related materials that could be used for next-generation magnetic field devices.”

An Exception to the Rule

The physicists first became interested in the Mn3Si2Te6 material due to its unique electrical properties — in particular, a property called colossal magnetoresistance, an extreme enhancement in a material’s electrical conductivity when a magnetic field is applied.

In most materials, applying a magnetic field does not change that material’s conductivity. However, in another class of materials, applying a magnetic field does change conductivity; this is called magnetoresistance, and it can scale to “giant” and “colossal” changes in conductivity. In instances of colossal magnetoresistance, a material can change from behaving like an insulator (like Styrofoam) to being as conductive as a metal wire.

This change is not altogether unusual. Materials displaying giant magnetoresistance are not uncommon and are often used in computers; however, in all of these known materials, the material does not change its behavior in a way that significantly depends on the direction of the applied magnetic field. This new trimer-honeycomb material does.

“The phenomenon defies all existing theoretical models and experimental precedents,” said Kimchi, theoretical physicist and assistant professor in the School of Physics at Georgia Tech. And that’s where he and Hakani come in.

Uncovering Looping Currents

“As theoretical physicists, we develop new kinds of mathematical models,” said Kimchi. “When it’s qualitatively difficult to understand how anything can make sense in experimental data — when there’s something qualitatively shocking — we try to come up with that basic picture.”

Using the information uncovered by the experimental physicists, Hakani and Kimchi set out to understand why the extreme change in conductivity only happens when the magnetic field is applied perpendicularly to the honeycomb-like surface of the material.

“Our idea smelled promising, but, unfortunately, we quickly realized that currents between the magnetic manganese ions would be forbidden by symmetry, which was discouraging,” said Kimchi. “However, Sami then did the symmetry analysis for the octahedrally arranged tellurium ions, and, for them, currents were symmetry-allowed and could work out!”

Viewed from above, the material looks like a series of two-dimensional honeycombs. From the side, however, the material is composed of “sheets,” like a layer cake. Within each “sheet” of honeycomb, electrons can move in circular paths around each octahedral cell. These looping, circular-moving currents within the material are responsible for the material’s unique behavior. 

On its own, without a magnetic field present, electrons move both counterclockwise and clockwise around the honeycomb “cells,” like cars going in both directions around a roundabout. Just like in uncontrolled traffic, “traffic jams” make it difficult for electrons to move quickly throughout the material. Without a way to streamline traffic, the material acts more like an insulator.

However, if a magnetic field is applied perpendicular to the honeycomb-like surface, a “flow of traffic” is established, and electrons navigate the loops more quickly. The material then acts as a conductor, showing a seven-magnitude increase in conductivity — equivalent to an increase of a billion percent.

A New Paradigm

The transformation from insulator to conductor can also be driven by applying electrical currents in the material, but in that case, it doesn’t happen instantaneously. It can take seconds or even minutes for the material to switch from insulator to conductor.

The team believes that this tunability and slower type of switching, coupled with the material’s sensitivity to currents, could lead to new applications and discoveries in current-controlled quantum devices, a field of devices that range from sensors to computers to secure communication.

The next step? Working to better understand the newly discovered quantum state, and finding other materials where the quantum state might exist.

“Looking forward, we hope to understand not only what makes this material special, but also which microscopic ingredients are needed for related materials to become useful quantum technologies in our future,” said Hakani.

Savannah River National Laboratory (SRNL) and Georgia Institute of Technology (Georgia Tech) recently selected Martha Grover, PhD, for a joint appointment.

Grover is a professor and the associate chair for graduate studies at Georgia Tech’s School of Chemical and Bimolecular Engineering. Her research interests include feedback control of colloidal crystallization for photonic materials; chemical evolution in the origins of life; modeling and control of pharmaceutical and nuclear waste crystallization; and process-structure-property relationships in polymer organic electronics. 

SRNL intends to collaborate with Grover to utilize her expertise and experience to:

• Facilitate research and development activities pertaining to in-situ analysis of process streams for DOE tank waste treatment programs, including application of instruments and calibration techniques.
• Analyze SRNL data generated during testing of in-situ instruments in non-radioactive simulants of high-level waste.
• Expand and develop relationships within Georgia Tech to facilitate further collaboration 
• Develop the next generation of outstanding engineering talent with interest to pursue research career opportunities in the national laboratory system

“Dr. Grover’s efforts contribute directly to SRNL’s strategic goal of providing applied science and engineering for the Department of Energy (DOE) Office of Environmental Management’s active cleanup sites and Office of Legacy Management’s post-closure management sites,” said SRNL Deputy Lab Director, Science and Technology, Sue Clark, PhD. “Dr. Grover will strengthen SRNL’s core competency of accelerating remediation, minimizing waste, and reducing risk by supporting process stream characterization associated with treatment of DOE tank waste.” 

In addition to her primary research, Grover focuses on creating an even more inclusive community, exploring issues relevant to women, underrepresented minorities, and international students. She co-leads the GT-Equal (Graduate Training for Equality in Underrepresented Academic Leadership) Program and, in 2020, was named a National Science Foundation Organizational Change for Gender Equity in STEM Academic Professions (ADVANCE) Professor.  Georgia Tech’s ADVANCE Program builds and sustains an inter-college network of professors who are world-class researchers and role models to support the community and advancement of women and minorities in academia.  Georgia Tech’s School of Chemical and Biomolecular Engineering also was one of two institutions selected nationwide to be inaugural sites for the American Chemical Society’s Bridge Program, which aims to increase the number of underrepresented minority students who receive doctoral degrees in chemical sciences.

The Joint Appointment Program at SRNL provides university faculty opportunities to engage in the laboratory’s research and development that address the nation’s challenges in energy, science, national security, and environmental stewardship. Together, SRNL staff and joint appointees help ensure America’s security and prosperity through transformative science and technology solutions. Joint appointees serve as a bridge between their university, SRNL researchers and students.

Savannah River National Laboratory is a United States Department of Energy multi-program research and development center that’s managed and operated by Battelle Savannah River Alliance, LLC (BSRA). SRNL puts science to work to protect the nation by providing practical, cost-effective solutions to the nation’s environmental, nuclear security, nuclear materials management, and energy manufacturing challenges (https://srnl.doe.gov/).