Project Grant 2552186
- This $485,752 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports collaborative research to develop a data-driven approach to microreaction engineering guided by autonomous robotic experimentation. Key products and services include the creation of an interdisciplinary knowledge framework to accelerate mechanistic reaction studies and synthesis process development for emerging materials and molecules with multi-stage chemistries. Researchers will...
- Federal Grant Award Summary Purdue University received a $429,646 Project Grant award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041 – Engineering program) effective October 1, 2025, through September 30, 2029. This collaborative research project, titled "Accelerated Discovery and Design of Dynamically Evolving Catalyst Material Surfaces," delivers advanced computational modeling and experimental research...
- This Project Grant award of $300,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research by Purdue University to optimize the electrochemical production of net-zero fuels. The principal investigators will combine computational and experimental approaches to study instabilities in electrochemical reactors that can reduce efficiency and cause safety concerns. The goal is to develop a mathematical framework to describe the physical interplay between...
- Federal Project Grant Award Summary Award Details: The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a Project Grant totaling $374,060 to Purdue University for collaborative research spanning October 1, 2025, through September 30, 2028, under the Engineering program (CFDA 47.041). Research Objectives and Deliverables: This collaborative research initiative focuses on developing the Diffusive Ferroelectric Field-Effect Transistor (DFEFET), a...
- Federal Project Grant Award Summary Purdue University received a $600,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070) effective August 1, 2025, through July 31, 2028. The award funds research and development of gradient-based discrete Markov Chain Monte Carlo (GD-MCMC) algorithms designed to improve sampling efficiency and statistical reliability for machine...
- Federal Grant Award Summary Purdue University received a $396,048 Project Grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), effective August 1, 2025 through July 31, 2028. This award supports fundamental research to advance understanding of superfast (de)lithiation processes in conversion battery materials, with direct application to next-generation fast-charging lithium-ion...
- Federal Project Grant Award Summary Purdue University received a $299,631 Early Concept Grants for Exploratory Research (EAGER) award from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective August 1, 2025, through July 31, 2027. The project addresses fundamental limitations in reinforcement learning (RL) by developing theoretical frameworks and algorithms that...
- Federal Grant Award Summary This collaborative research project grant, awarded by the National Science Foundation (NSF) Division of Chemistry under the Mathematical and Physical Sciences program (CFDA 47.049), provides $301,280 in funding to Purdue University to develop computational modeling capabilities for studying catalytic reactions. Led by Professor Hibbitts at Purdue University in collaboration with Professor Plaisance at Louisiana State University, the project delivers an implicit...
- Federal Project Grant Award Summary Purdue University received a $357,921 CAREER Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070: Computer and Information Science and Engineering) effective July 1, 2026, through June 30, 2031. The award funds research and development of algorithmic advances in structure-aware learning that enhance artificial intelligence (AI) system reliability, data efficiency, and safety. The primary...
- Federal Project Grant Award Summary Purdue University received a $110,000 Project Grant from the National Science Foundation's Division of Social, Behavioral and Economic Sciences (CFDA 47.075) for a collaborative research initiative examining how exposure to artificial intelligence (AI) labor market forecasts influences stakeholder beliefs and regulatory preferences. The award period runs from September 1, 2025, through August 31, 2027. The project delivers multi-sample online survey...
Project Grant Summary: CDS & E: Agentic AI Framework for Autonomous Reaction-Transport Mechanism Discovery in Electrochemical Systems Purdue University received a $500,000 Project Grant award dated July 15, 2026, from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041, Engineering program). The award supports research through June 30, 2029, to develop an agent-based artificial intelligence framework that combines large language models with mechanistic modeling, optimization, and experimental design for discovering electrochemical reaction mechanisms from experimental data. The framework will analyze experimental data to identify possible reaction pathways relevant to energy conversion applications—including carbon dioxide reduction, formic acid oxidation, nitrate reduction, and oxygen reduction—and will integrate physics-based models to validate findings and suggest targeted experimental approaches. This computational tool set is intended to accelerate electrochemical technology research and improve reactor design efficiency for processes that convert simple molecules into fuels and useful chemicals using renewable electricity. The project encompasses workforce development and educational components to support technology transfer and student training. Undergraduate and graduate students will participate in research integrating chemical engineering and artificial intelligence, with research outcomes incorporated into Purdue courses in data science and chemical reaction engineering. Through this combination of applied research and academic integration, the project aims to demonstrate how modern computational tools address complex scientific and engineering challenges while building human capital in AI-enabled chemical engineering disciplines.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 7/13/26 |