Georgia Tech has been selected to lead or contribute to seven major artificial intelligence research projects as part of the Genesis Mission, a White House-backed national initiative investing over $5 billion in AI-enabled science and technology. The awards, announced on July 22, position the university at the forefront of using machine learning to solve real-world challenges in energy, manufacturing, health, infrastructure, and national security.

What Is the Genesis Mission and Why Does It Matter?

The Genesis Mission represents a coordinated federal effort to harness artificial intelligence for scientific discovery at scale. Rather than treating AI as a standalone tool, the initiative integrates machine learning into the research process itself, enabling scientists to design experiments, analyze data, and test hypotheses faster than traditional methods allow. Georgia Tech's seven awards reflect the university's strength in interdisciplinary research, bringing together experts from engineering, computing, sciences, policy, and robotics to tackle interconnected problems.

Tim Lieuwen, Georgia Tech's executive vice president for Research, emphasized the significance of this recognition. "Artificial intelligence is rapidly transforming how we conduct research and drive discovery," he stated. "These awards recognize Georgia Tech's leadership in AI, advanced computing, engineering, and the sciences. By bringing together expertise from across our colleges and research units, we can help accelerate breakthroughs in areas that are crucial to the nation's future, from energy and manufacturing to health and critical infrastructure."

Tim Lieuwen, Georgia Tech's executive vice president for Research

Which Projects Will Georgia Tech Lead Directly?

Georgia Tech faculty will lead two of the seven Genesis Mission projects. The first focuses on biomanufacturing, while the second addresses nuclear energy safety. These leadership roles underscore the university's capacity to design and execute large-scale, multidisciplinary research initiatives.

• AI-Enabled Single Cell Phenotyping for Biomanufacturing: Led by Ameet Pinto, associate professor in the School of Civil and Environmental Engineering, this project will develop AI-powered methods to understand biological systems at the cellular level. The work aims to strengthen next-generation biomanufacturing capabilities, which are critical for producing medicines, vaccines, and industrial chemicals more efficiently and sustainably.
• AI-Driven Digital Twin Technology for Nuclear Reactors: Fan Zhang, assistant professor in the George W. Woodruff School of Mechanical Engineering, will lead development of AI-enabled digital twin technologies. These virtual replicas of physical systems will support the safe, autonomous operation of advanced nuclear energy systems, including small modular reactors (SMRs) and microreactors, which are seen as key to decarbonizing energy production.

What Are the Collaborative Projects Georgia Tech Is Contributing To?

Beyond the two projects it leads, Georgia Tech researchers are collaborating with national laboratories and partner institutions on five additional Genesis Mission awards. These collaborations span water resource management, materials discovery, and fusion energy, demonstrating the breadth of AI applications across the scientific landscape.

• Water-Energy Prediction Models: Marilyn Brown from the Jimmy and Rosalynn Carter School of Public Policy is working with Oak Ridge National Laboratory to build AI foundation models that predict and test water-for-energy conditions in the Tennessee Valley Authority region. This work addresses the critical intersection of water availability and energy production, both essential for regional sustainability.
• Water Availability and Flood Risk Forecasting: Peng Chen from the School of Computational Science and Engineering is collaborating on two separate projects with Oak Ridge National Laboratory and Argonne National Laboratory to improve predictions of water availability and flood risks. These AI-driven forecasts could help communities prepare for climate-related water challenges and optimize water resource allocation.
• Advanced Memory Materials Discovery: Asif Khan from the School of Electrical and Computer Engineering is partnering with Lawrence Livermore National Laboratory to accelerate discovery of new materials for Electro-Chemical RAM (ECRAM), a type of computer memory designed to be more energy-efficient. This work addresses a critical bottleneck in AI systems, which consume enormous amounts of electricity during training and operation.
• Fusion Plant Lifecycle Management: Fan Zhang is leading a second Genesis Mission project in collaboration with Oak Ridge National Laboratory to develop AI tools for managing the entire lifecycle of fusion plants, including robotics and maintenance. As fusion energy moves closer to commercial viability, AI-driven tools will be essential for safe and efficient plant operations.

How Will These AI Projects Accelerate Scientific Discovery?

The Genesis Mission projects leverage AI to compress the time between research question and practical solution. Rather than relying solely on human intuition and manual experimentation, AI systems can process vast datasets, identify patterns invisible to the human eye, and suggest promising research directions. In materials science, for example, AI can screen millions of potential compounds in silico (computationally) before researchers synthesize and test the most promising candidates in the laboratory. In nuclear energy, digital twins powered by AI can simulate thousands of operating scenarios, identifying safety risks and optimization opportunities without requiring physical prototypes.

The interdisciplinary nature of Georgia Tech's involvement is particularly significant. The university's seven awards span the Colleges of Engineering, Computing, and Sciences; the Ivan Allen College of Liberal Arts; the Brook Byers Institute for Sustainable Systems; the Institute for Robotics and Intelligent Machines; the Institute for Data Engineering and Science; and the Strategic Energy Institute. This breadth reflects a modern reality: solving complex scientific problems requires expertise from multiple domains working in concert.

What Does This Mean for the Future of AI in Science?

The Genesis Mission signals a strategic shift in how the federal government funds research. Rather than supporting isolated projects, the initiative creates networks of researchers and institutions working toward common goals using AI as a connective tissue. For Georgia Tech, the seven awards validate its position as a leader in AI-enabled research while providing resources to tackle some of the nation's most pressing challenges. The projects address urgent needs: safer nuclear energy, more efficient biomanufacturing, better water resource management, and advanced materials that could reduce the environmental footprint of AI itself.

It is important to note that selection for award negotiations does not constitute a final funding award. According to the U.S. Department of Energy, awards remain subject to successful negotiations and the availability of funding.