Argonne Principal Investigator | Lead Institution | Project Title |
Kartiek Agarwal | Virginia Tech | AI-Enabled Co-Design of Fault-Tolerant Logical Interface in Quantum LDPC Codes |
Adarsha Balaji | SRI International | Scalable Heterogeneous Federated Learning Framework (SHFL) |
Ramesh Balakrishnan | University of Southern California | AI-Driven Subgrid-Scale Model for Large-Eddy Simulation of Turbulent |
David Bettinardi | SHINE Technologies | AI-Guided Fuel Cycle Facility Optimization |
Benjamin Blakely | University of Hawaii | STRATOS: Security and Trust Runtime Architecture for Time-critical Operational Science |
Simon Corrodi | University of South Carolina | Expedited Discovery by Leveraging Agentic Workflows for the Mu2e Charged Lepton Flavor Violation Search |
Massimiliano Delferro | Northwestern University | Agentic AI-Driven Co-Optimization of a Tandem Electro-Thermocatalytic Route to Energy-Atom-Efficient Polyethylene Manufacturing from Waste Carbon |
Sheng Di | North Carolina State University | An Agentic LLM Workflow for Code Generation and Optimization on Emerging AI Accelerators |
Sheng Di | University of North Carolina at Charlotte | CASCADE: Composable Assurance for AI-enabled Scientific Computing with Agentic Error Governance |
Jiwen Fan | Lawrence Livermore National Laboratory | Scalable Twin for Intelligent Turbulence and Cloud Heuristics (STITCH) |
Jiwen Fan | Virginia Tech | Advancing Multimodal and Multidimensional AI to Discover Connections between Cloud Microphysics and Precipitation |
Virendra Ghate | Iowa State University | A Spatial Generative Bayesian Computation Framework for Inferring Turbulence-Microphysics Interactions |
Aaron Greco | Clemson University | AI-Driven Design and Control for Performance and Durability |
Christopher Henry | California Institute of Technology | AI-Driven Prediction of Emerging Microbial Phenotypes in Electrogenic Consortia Across Scales |
Nathaniel Hoyt | Aclara Technologies | AI-Enabled Process Optimization for Multi-Feed Rare Earth Separation |
Rui Hu | Texas A&M University | SHIELD: Secure Human-in-the-loop Intelligence for Engineering and Licensing Deployment of Advanced Nuclear Systems |
Andrzej Joachimiak | Rice University | Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids |
Sylvester Joosten | University of Wisconsin-Madison | Principles of Foundation Models for Particle and Nuclear Physics |
Peter Kenesei | University of Michigan | AI-Enabled Real-Time Reconstructions and Interpretation for Rapid 3D X-Ray Diffraction and Imaging of Materials Under Stress and Extreme Environments |
Ji Liu | University of Pittsburgh | Accelerating Measurement-Based Quantum Simulation Software Design with Artificial Intelligence |
Bernhard Maass | Texas A&M University | Scalable Agentic Digital Twins for Autonomous Precision Facilities |
Ravi Madduri | Iowa State University | DAISY: Decentralized Agentic Intelligence System for Scientific Inquiry |
Daniel Maldonado | Pacific Northwest National Laboratory | Accelerating Electromagnetic Transient Analysis through Physics-Informed Scalable Artificial Intelligence Models for Rapid Load Growth |
Mark Messner | Oak Ridge National Laboratory | SMART-AI for Scale-Up and MAterial Reliability Translation of Advanced Structural Alloys for Fusion Applications |
Brahim Mustapha | Michigan State University | Towards Self-Evolving, Physics-Informed Digital Twins of Ion Accelerators and Isotope Separators |
Bogdan Nicolae | University of Utah | Dispatchable Data Centers: AI-Driven Workload Flexibility for Grid-Aware Load Shaping |
John Power | Fermi National Accelerator Laboratory | AI/ML Resonance Control for High-Reliability, Low-Cost Accelerator Operations |
Arvind Ramanathan | Carnegie Mellon University | Robust, Efficient, Scalable Cross-Cutting AI-Based Stack to Leverage Multiple Heterogenous Autonomous Labs for Massively Parallel Experiments |
Arvind Ramanathan | University of Illinois Urbana-Champaign | Foundation Models for Metabolic Engineering |
Paul Reimer | Stony Brook University | Foundation Models for Transferable Particle Tracking in Nuclear Physics |
Patrick Shriwise | University of Wisconsin-Madison | Stellarator Blanket Optimization with Differentiable Monte Carlo Neutronics |
Richard Vilim | Idaho National Laboratory | Prometheus |
Pamela Weisenhorn | University of Maine | Bridging Genomics and Reactive Transport Models with AI for Subsurface Prediction |
Jianguo Wen | Ohio State University | AI for Orbital Electronics Materials and Manufacturing |
Christian White | Georgia Tech | AI-Enabled Single Cell Phenotyping to Advance Biomanufacturing |
Brian Wyatt | Northeastern University | Self-Driving Discovery and Co-Design of MXene Memristors for 3D Compute-in-Memory System |
