When people think of greenhouse gas emissions from transportation, what often comes to mind are airplanes and land vehicles like cars or trucks. But as efforts to slow climate change are ramping up, the spotlight is on another form of transport: ships. 

The U.N.’s International Maritime Organization (IMO) has set targets to reduce shipping greenhouse gas emissions by at least 40% by 2030 and 70% by 2040, aiming for net-zero by 2050. Shipping currently accounts for about 3% of global annual greenhouse gas emissions, and the pressure is on shipping companies to meet these ambitious goals.

Across Georgia Tech, researchers are working toward a sustainable future for ocean shipping. This includes Valerie Thomas, the Anderson-Interface Chair of Natural Systems Professor in the H. Milton Stewart School of Industrial and Systems Engineering, and in the School of Public Policy. She is scholar of energy systems, sustainability, assessment, and low-carbon transportation fuels, and her work touches many aspects of the maritime industry. 

Read the full story here.

Two faculty members in the George W. Woodruff School of Mechanical Engineering will receive achievement awards from the American Society of Mechanical Engineers (ASME). Shreyes Melkote, who holds the Morris M. Bryan, Jr. Professorship in Mechanical Engineering, will receive the 2024 Milton C. Shaw Manufacturing Research Medal, and Professor Jerry Qi will receive the 2024 Warner T. Koiter Medal.

The Milton C. Shaw Manufacturing Research Medal, established in 2009, recognizes significant fundamental contributions to the science and technology of manufacturing processes.

"I am honored to receive this prestigious award. Milton C. Shaw was a giant in the manufacturing field, and to be recognized by an award named after him is very humbling," said Melkote, who also serves as the associate director for the Georgia Tech Manufacturing Institute.

The Warner T. Koiter Medal was established in 1996 and recognizes distinguished contributions to the field of solid mechanics with special emphasis on the effective blending of theoretical and applied elements of the discipline, as well as leadership in the international solid mechanics community.

Qi expressed his appreciation for his team upon learning of the award. “This award is really for my current and former students and postdoctoral scholars. It recognizes their work and innovations in a very special way," he said.

Qi's research is focused on the mechanics and 3D printing of soft active materials to enable 4D printing methods and the recycling of thermosetting polymers. He has developed several material models to describe the multiphysics and chemomechanical behaviors of soft active materials. He also pioneered several multimaterial 3D printing approaches that allow the integration of different polymers and functional materials into one system.

Melkote's primary area of research is manufacturing, and his secondary area of research is tribology, specifically in the science of precision material removal processes, new manufacturing process development including novel surface modification methods, the application of artificial intelligence and machine learning to solve complex problems in manufacturing, and advanced industrial robotics for precision manufacturing.

Melkote also credited the efforts and support of his students and colleagues. "This recognition would not have been possible without the high level of creativity and outstanding efforts of my graduate students and postdoctoral scholars, the support of my colleagues and mentors at Georgia Tech and beyond, and the opportunities and resources provided to me by the Woodruff School. I am truly grateful to all of them."

Both will be presented with their awards at upcoming ASME events. Melkote will receive his award at the ASME Manufacturing Science and Engineering Conference, June 17-21, in Knoxville, TN, and Qi will receive his at the ASME International Mechanical Engineering Congress and Exposition, November 17-21, in Portland, OR.

An electrochemical process developed at Georgia Tech could offer new protection against bacterial infections without contributing to growing antibiotic resistance.

The approach capitalizes on the natural antibacterial properties of copper and creates incredibly small needle-like structures on the surface of stainless steel to kill harmful bacteria like E. coli and Staphylococcus. It’s convenient and inexpensive, and it could reduce the need for chemicals and antibiotics in hospitals, kitchens, and other settings where surface contamination can lead to serious illness.

It also could save lives: A global study of drug-resistant infections found they directly killed 1.27 million people in 2019 and contributed to nearly 5 million other deaths — making these infections one of the leading causes of death for every age group.

Researchers described the copper-stainless steel and its effectiveness May 20 in the journal Small.

Read the full story on the College of Engineering website.

People using energy-efficient smart thermostats are willing to sacrifice comfort and control to save relatively small amounts of energy that could add up if enough people sign on, a Georgia Tech economist reported in a recent study.

With federal and state energy policies targeting aggressive decarbonization in the next 15 years, smart technologies have the potential to help achieve these goals at a reasonable cost, said Casey J. Wichman, associate professor in the Georgia Institute of Technology School of Economics.

In a forthcoming issue of American Economic Journal: Applied Economics, Wichman and colleagues report that automation within smart thermostats can lead to potentially large reductions in household electricity use and costs.

Utilities look to time-of-use (TOU) pricing — where prices are higher during peak demand and lower during lags in demand — to save consumers money and relieve pressure on the grid.

“From an economics perspective, there's this idea that if you set the price right, everything will work out,” Wichman said. “But if consumers don't actually respond to those prices, that limits the effectiveness of the solution.”

For the study, more than 2,100 Toronto-area residents using Ecobee smart thermostats agreed to share their usage data during the 2019 rollout of a suite of new thermostat features that included an automated component.

Participants opted to allow the thermostats to precool or preheat their homes at times of the day when electricity was less expensive, choosing on a sliding scale how aggressive they wanted the algorithm to be. Degree changes within the homes varied from around 1 to 5 degrees, saving participants up to 30 Canadian cents per day in the summer.

“I have always liked applying economic concepts to simple decisions we make in our daily lives,” Wichman said. “This allows me to answer new questions about how decisions matter for the environment, and how policies or technologies can be designed to generate social change. In this project, we’re leveraging new data sources to try to capture the unaccounted-for costs of those policies.”

Studies on energy savings, he said, often miss the in-home comfort cost. These results showed that people seemed willing to trade relatively small monetary savings for a small increase in discomfort, although discomfort was most pronounced for residents who typically spend more time at home. For the most part, people were willing to sacrifice control over their heating and cooling decisions to an algorithm.

This finding surprised Wichman. “We thought we would see more people turn off the feature,” he said. That didn't happen.

As time-varying electricity pricing rolls out across North America, utilities could provide incentives for customers to opt into energy-saving settings programmed into internet-connected home appliances, like water heaters, pool pumps, and electric vehicles.

The researchers’ results suggest that such programs could be designed in a way that customers will accept. This gives Wichman a sense of optimism for the future.

“What is interesting here is that technology can complement economic incentives,” he said. “You can have technology correct for humans’ inability to remember to set their heating and cooling schedule in a way that's consistent with social goals.”

Author: Deborah Halber

Are you under the impression that air pollution is a dichotomous problem where the air is either polluted or it’s not? What else is there to know about air pollution? The surprising answer to this question lies not with a lab scientist but with an economist.

Assistant Professor Dylan Brewer of the School of Economics studies the health impacts of air pollution and the statistical methods useful for teasing apart factors that can confound those answers, all from the lens of an economist. It turns out that viewing the problem of air pollution through an economic framework and applying statistical methods commonly used in the field of economics can shed light on the multiple factors that influence the health impact of exposure to air pollution on different populations.

Recently, Brewer was the featured guest on the podcast The Health Deli, where the hosts were surprised to find an economist making waves at this critical research intersection. Brewer explains why viewing this problem from the perspective of an economist is so valuable and discusses some of his research team’s surprising findings.

The podcast, hosted by three pharmacists, approaches health news from a scientific bent, which turned out to be a great fit for an economist who studies air pollution. You can listen to the podcast episode, “Is It Safe To Breathe Air? How Is This a Real Question?’ on Apple Podcasts or Spotify, as well as other major podcast providers.

Spotify Link https://open.spotify.com/episode/1PDPUZNGEifWA5IvCnVUNK

On April 12, the Energy, Policy, and Innovation Center (EPICenter) hosted its second round of the “Friday Lightning Talk Series” at the Scholars Event Network space in the Price Gilbert Library.

Eight multidisciplinary participants from Georgia Tech, including postdoctoral students, graduate students, research faculty, and research associates from public policy, economics, electrical and computer engineering, industrial and systems engineering, and EPICenter, presented an overview of an energy-related research project during the session.

Laura Taylor, chair of the School of Economics and interim director of EPICenter, introduced the organization’s new faculty affiliate program through which affiliates, their students, and postdocs present and share research ideas and receive feedback from the audience.

Topics covered during the session included understanding the social costs of natural gas deregulation, managing EV charging during emergencies, exploring whether daylight saving time saves energy, the green energy workforce, the effects of community solar on household energy use, the Atlanta Energyshed project, clean hydrogen production in Georgia, and household responses to grid emergencies.

The interactive session was well attended with over 25 attendees asking thought-provoking questions and providing suggestions on future areas to explore.

The first round was held on March 1 and was such a success that this second round had a full slate of presenters and a full house of audience members. The agendas for both lightning round talks are available below, along with links to presentation slides.

A unit of the Strategic Energy Institute of Georgia Tech, EPICenter’s mission is to conduct rigorous research and deliver high-impact insights that address the energy needs of the southeastern U.S., while keeping a national and global perspective. EPICenter calls upon broad, multidisciplinary expertise to engage the public and create solutions for critical emerging issues as our nation’s energy transformation unfolds.

Quantum sensors detect the smallest of environmental changes — for example, an atom reacting to a magnetic field. As these sensors “read” the unique behaviors of subatomic particles, they also dramatically improve scientists’ ability to measure and detect changes in our wider environment.

Monitoring these tiny changes results in a wide range of applications — from improving navigation and natural disaster forecasting, to smarter medical imaging and detection of biomarkers of disease, gravitational wave detection, and even better quantum communication for secure data sharing.

Georgia Tech physicists are pioneering new quantum sensing platforms to aid in these efforts. The research team’s latest study, “Sensing Spin Wave Excitations by Spin Defects in Few-Layer Thick Hexagonal Boron Nitride” was published in Science Advances this week. 

The research team includes School of Physics Assistant Professors Chunhui (Rita) Du and Hailong Wang (corresponding authors) alongside fellow Georgia Tech researchers Jingcheng Zhou, Mengqi Huang, Faris Al-matouq, Jiu Chang, Dziga Djugba, and Professor Zhigang Jiang and their collaborators. 

An ultra-sensitive platform

The new research investigates quantum sensing by leveraging color centers — small defects within crystals (Du’s team uses diamonds and other 2D layered materials) that allow light to be absorbed and emitted, which also give the crystal unique electronic properties. 

By embedding these color centers into a material called hexagonal boron nitride (hBN), the team hoped to create an extremely sensitive quantum sensor — a new resource for developing next-generation, transformative sensing devices. 

For its part, hBN is particularly attractive for quantum sensing and computing because it could contain defects that can be manipulated with light — also known as "optically active spin qubits."

The quantum spin defects in hBN are also very magnetically sensitive, and allow scientists to “see” or “sense” in more detail than other conventional techniques. In addition, the sheet-like structure of hBN is compatible with ultra-sensitive tools like nanodevices, making it a particularly intriguing resource for investigation.

The team’s research has resulted in a critical breakthrough in sensing spin waves, Du says, explaining that “in this study, we were able to detect spin excitations that were simply unattainable in previous studies.” 

Detecting spin waves is a fundamental component of quantum sensing, because these phenomena can travel for long distances, making them an ideal candidate for energy-efficient information control, communication, and processing.

The future of quantum

“For the first time, we experimentally demonstrated two-dimensional van der Waals quantum sensing — using few-layer thick hBN in a real-world environment,” Du explains, underscoring the potential the material holds for precise quantum sensing. “Further research could make it possible to sense electromagnetic features at the atomic scale using color centers in thin layers of hBN.”

Du also emphasizes the collaborative nature of the research, highlighting the diverse skill sets and resources of researchers within Georgia Tech. 

“Within the School of Physics, Professor Zhigang Jiang's research group provided the team with high-quality hBN crystals. Jingcheng Zhou, who is a member of both Professor Hailong Wang’s and my research teams, performed the cutting-edge quantum sensing measurements,” she says. “Many incredible students also helped with this project.”

Du is a leading scientist in the field of quantum sensing — this year, she received a new grant from the U.S. Department of Energy, along with a Sloan Research Fellowship for her pioneering work on developing state-of-the-art quantum sensing techniques for quantum information technology applications. The prestigious Sloan award recognizes researchers whose “creativity, innovation, and research accomplishments make them stand out as the next-generation of leaders in the fields.” 

DOI: 10.1126/sciadv.adk8495

This work is supported by the U. S. National Science Foundation (NSF) under award No. DMR-2342569, the Air Force Office of Scientific Research under award No. FA9550-20-1-0319 and its Young Investigator Program under award No. FA9550-21-1-0125, the Office of Naval Research (ONR) under grant No. N00014-23-1-2146, NASA-REVEALS SSERVI (CAN No. NNA17BF68A), and NASA-CLEVER SSERVI (CAN No. 80NSSC23M0229).

With new vehicle models being developed by major brands and a growing supply chain, the electric vehicle (EV) revolution seems well underway. But, as consumer purchases of EVs have slowed, car makers have backtracked on planned EV manufacturing investments. A major roadblock to wider EV adoption remains the lack of a fully realized charging infrastructure. At just under 51,000 public charging stations nationwide, and sizeable gaps between urban and rural areas, this inconsistency is a major driver of buyer hesitance.

How do we understand, at a large scale, ways to make it easier for consumers to have confidence in public infrastructure? That is a major issue holding back electrification for many consumer segments.

- Omar Asensio, Associate Professor at Georgia Institute of Technology and Climate Fellow, Harvard Business School | Director, Data Science & Policy Lab

Omar Asensio, associate professor in the School of Public Policy and director of the Data Science and Policy Lab at the Georgia Institute of Technology, and his team have been working to solve this trust issue using the Microsoft CloudHub partnership resources. Asensio is also currently a visiting fellow with the Institute for the Study of Business in Global Society at the Harvard Business School.

The CloudHub partnership gave the Asensio team access to Microsoft’s Azure OpenAI to sift through vast amounts of data collected from different sources to identify relevant connections. Asensio’s team needed to know if AI could understand purchaser sentiment as negative within a population with an internal lingo outside of the general consumer population. Early results yielded little. The team then used specific example data collected from EV enthusiasts to train the AI for a sentiment classification accuracy that now exceeds that of human experts and data parsed from government-funded surveys.

The use of trained AI promises to expedite industry response to consumer sentiment at a much lower cost than previously possible. “What we’re doing with Azure is a lot more scalable,” Asensio said. “We hit a button, and within five to 10 minutes, we had classified all the U.S. data. Then I had my students look at performance in Europe, with urban and non-urban areas. Most recently, we aggregated evidence of stations across East and Southeast Asia, and we used machine learning to translate the data in 72 detected languages.”

We are excited to see how access to compute and AI models is accelerating research and having an impact on important societal issues. Omar's research sheds new light on the gaps in electric vehicle infrastructure and AI enables them to effectively scale their analysis not only in the U.S. but globally.

- Elizabeth Bruce, Director, Technology for Fundamental Rights, Microsoft

Asensio's pioneering work illustrates the interdisciplinary nature of today’s research environment, from machine learning models predicting problems to assisting in improving EV infrastructure. The team is planning on applying the technique to datasets next, to address access concerns and reduce the number of “charging deserts.” The findings could lead to the creation of policies that help in the adoption of EVs in infrastructure-lacking regions for a true automotive electrification revolution and long-term environmental sustainability in the U.S.

- Christa M. Ernst

Source Paper: Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach - ScienceDirect

When U.S. Rep. Earl L. “Buddy” Carter from Georgia’s 1st District visited Atlanta recently, one of his top priorities was meeting with the experts at Georgia Tech’s 20,000-square-foot Advanced Manufacturing Pilot Facility (AMPF).

Carter was recently named the House Energy and Commerce Committee’s chair of the Environment, Manufacturing, and Critical Materials Subcommittee, a group that concerns itself primarily with contamination of soil, air, noise, and water, as well as emergency environmental response, whether physical or cybersecurity.

Because AMPF’s focus dovetails with subcommittee interests, the facility was a fitting stop for Carter, who was welcomed for an afternoon tour and series of live demonstrations. Programs within Georgia Tech’s Enterprise Innovation Institute — specifically the Georgia Artificial Intelligence in Manufacturing (Georgia AIM) and Georgia Manufacturing Extension Partnership (GaMEP) — were well represented.

“Innovation is extremely important,” Carter said during his April 1 visit. “In order to handle some of our problems, we’ve got to have adaptation, mitigation, and innovation. I’ve always said that the greatest innovators, the greatest scientists in the world, are right here in the United States. I’m so proud of Georgia Tech and what they do for our state and for our nation.”

Carter’s AMPF visit began with an introduction by Thomas Kurfess, Regents' Professor and HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control in the George W. Woodruff School of Mechanical Engineering and executive director of the Georgia Tech Manufacturing Institute; Steven Ferguson, principal research scientist and managing director at Georgia AIM; research engineer Kyle Saleeby; and Donna Ennis, the Enterprise Innovation Institute’s director of community engagement and program development, and co-director of Georgia AIM.

Ennis provided an overview of Georgia AIM, while Ferguson spoke on the Manufacturing 4.0 Consortium and Kurfess detailed the AMPF origin story, before introducing four live demonstrations.

The first of these featured Chuck Easley, Professor of the Practice in the Scheller College of Business, who elaborated on supply chain issues. Afterward, Alan Burl of EPICS: Enhanced Preparation for Intelligent Cybermanufacturing Systems and mechanical engineer Melissa Foley led a brief information session on hybrid turbine blade repair.

Finally, GaMEP project manager Michael Barker expounded on GaMEP’s cybersecurity services, and Deryk Stoops of Central Georgia Technical College detailed the Georgia AIM-sponsored AI robotics training program at the Georgia Veterans Education Career Transition Resource (VECTR) Center, which offers training and assistance to those making the transition from military to civilian life.

The topic of artificial intelligence, in all its subtlety and nuance, was of particular interest to Carter.

“AI is the buzz in Washington, D.C.,” he said. “Whether it be healthcare, energy, [or] science, we on the Energy and Commerce Committee look at it from a sense [that there’s] a very delicate balance, and we understand the responsibility. But we want to try to benefit from this as much as we can.”

“I heard something today I haven’t heard before," Carter continued, "and that is instead of calling it artificial intelligence, we refer to it as ‘augmented intelligence.’ I think that’s a great term, and certainly something I’m going to take back to Washington with me.”

“It was a pleasure to host Rep. Carter for a firsthand look at AMPF," shared Ennis, "which is uniquely positioned to offer businesses the opportunity to collaborate with Georgia Tech researchers and students and to hear about Georgia AIM.

“At Georgia AIM, we’re committed to making the state a leader in artificial intelligence-assisted manufacturing, and we’re grateful for Congressman Carter’s interest and support of our efforts."

Metz, France

Three-dimensional (3D) hetero-integration technology is set to transform the field of electronics. Vertically stacking functional layers, creates novel 2D-3D circuit architectures with high integration density and unprecedented multifunctionality.

Three researchers at Georgia Tech-CNRS IRL 2958, a joint international research laboratory based at Georgia Tech-Europe in Metz, France, were among a team that demonstrated cutting-edge 2D/single-crystalline 3D/2D (2D/C-3D/2D) Integration using a precise layer splitting technique to overcome drawbacks in ferroelectric materials use in electrostatic capacitors.  

Abdallah Ougazzaden, professor of Electrical and Computer Engineering at Georgia Tech, and president of Georgia Tech-Europe, Phuong Vuong, Georgia Tech-CNRS IRL 2958 researcher, and Suresh Sundaram, adjunct faculty in Georgia Tech’s School of Electrical and Computer Engineering, are co-authors on an April 19, 2024 research article in the journal, Science, entitled “High energy density in artificial heterostructures through relaxation time modulation.”

Ferroelectric materials used in electrostatic capacitors have unique advantages such as maximum polarization due to their higher electric susceptibilities related to dielectric constants, or permittivity, a measure of a material’s ability to store electrical energy. However, their high remnant polarization, the amount of polarization that remains in the material after the electric field is removed, limits how well they can store and release energy during the discharging process.

In the Science article, researchers demonstrated an innovative approach that sandwiches a single crystalline BTO (C-BTO) layer with 2D materials in the form of a freestanding membrane and effectively suppresses the remnant polarization of ferroelectric materials while maintaining the maximum polarization.

This ultra-thin vertical stacking technology was achieved using three different two-dimensional materials in combination with single crystalline BTO (C-BTO). Hexagonal boron nitride semiconductor was developed in the International Research Laboratory at GT-Europe, while graphene, and Molybdenum disulfide (MoS2) were developed at MIT.

These new 2D material technologies have a special type of bonding called van der Waals forces. On account of this, the layers can be easily separated to create components without needing any chemical etching or cutting processes.

“The 2D hexagonal boron nitride (h-BN) material that we are developing at Georgia Tech-CNRS IRL 2958 on large surfaces using the MOCVD epitaxial growth technique has demonstrated its significant potential in emerging technologies across various domains such as future quantum computers, biotechnology, flexible electronics, sensors, energy, and optogenetics.” said Ougazzaden, head of the h-BN project at Georgia Tech-CNRS IRL 2958,” adding, “We are currently working on some of these applications, and we hope to produce even more results and demonstrate new achievements."

Electrostatic capacitors, with their ability to store and release electrical energy quickly, find a wide range of applications across various fields of electronics and electrical engineering for energy storage, power conditioning etc.

In a similar collaboration, the same research team from Georgia Tech-CNRS IRL 2958 published a paper in December 2023, showing the first demonstration of the monolithic 3D integration of an artificial intelligence (AI) processor using two-dimensional (2D) materials.

This innovative integration approach combined six layers of transistor and memristor networks into a 3D nano-system. By stacking nanoscale materials made from 2D materials using bottom-up technology, the team created a fully integrated AI system.

The monolithic 3D method significantly improved processing efficiency by reducing time, voltage drops, latency, and footprint. In addition to offering a solution for electronic hetero-integration with 2D materials, broke new ground for advanced multifunctional processors and systems for AI applications and complex computing.

The team’s results on vertical hetero-integration were published in the scientific journal, Nature Materials, entitled, "Monolithic 3D Integration of 2D Materials-Based Electronics towards Ultimate Edge Computing Solutions.”

The researchers who contributed to the Science article discovered that when ferroelectric materials are combined in special structures (like 2D/C-3D/2D layers), it affects how much leftover charge a capacitor has and how well it can store energy. These insights will advance designs of high-energy capacitors using these materials. In the future, this could lead to more efficient and powerful energy storage systems.