Project Grant 2554343
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $238,249.00 to The Trustees Of The University Of Pennsylvania, doing business as Clinical Practices Of The University Of Pennsylvania. The project aims to develop a design methodology for supported single-atom catalysts (SACs) - an emerging class of catalysts that can revolutionize industrial applications but whose stability and properties are not well understood. The research will...
- The National Science Foundation (NSF) awarded a $638,566 Project Grant under the Engineering program (CFDA 47.041) to the University of Delaware. The grant supports a collaborative research effort to develop a computational-experimental methodology using machine learning to design stable, active, and selective single-atom catalysts for industrial applications. The project aims to uncover physics-inspired descriptors to predict how the support material properties influence the stability,...
- The National Science Foundation (NSF) awarded a $220,614 Project Grant under CFDA 47.041 (Engineering) to the University of California, Merced (UC Merced) to conduct collaborative research on accelerating the discovery and design of dynamically evolving catalyst material surfaces. The project aims to integrate advanced computer modeling, AI, and machine learning with experimental tools to study how catalyst structures evolve during chemical reactions. This workflow will enable efficient...
- This $431,430 National Science Foundation project grant supports the development of machine learning-aided methods to discover synthesizable, active, and stable heterogeneous catalyst materials. Funded under the NSF Engineering program (CFDA 47.041), the three-year award to the University of Michigan involves collaborating with Wayne State University to create an open-source, computer-aided workflow and tools for predicting catalyst properties beyond just activity. The project will apply density...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $429,646 project grant to Purdue University for a collaborative research project titled "DMREF: Accelerated Discovery and Design of Dynamically Evolving Catalyst Material Surfaces." The project will study how catalyst structures evolve during chemical reactions, with a focus on improving catalysts for ammonia synthesis, a highly energy-intensive process that supports global food production. The research...
- This Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $902,786 to the University of Wisconsin System to conduct collaborative research on accelerating the discovery and design of dynamically evolving catalyst materials. The goal is to develop more effective catalysts for industrial chemical processes, such as ammonia fertilizer production, by understanding and controlling the nanoscale restructuring of catalyst materials during...
- The National Science Foundation (NSF) awarded a $291,349 Project Grant to the University of Alabama under the Engineering program (CFDA 47.041) to develop and apply advanced machine learning force fields to simulate nanoparticle catalysts under realistic reaction conditions. The goal is to elucidate the catalytic active sites and how nanoparticle shapes evolve during catalytic processes. This research will help enable more sustainable chemical manufacturing by improving the computational...
- This National Science Foundation (NSF) Project Grant award, funded through the Mathematical and Physical Sciences program (CFDA 47.049), provides $424,350 to Duquesne University from September 1, 2023 to August 31, 2026. The project aims to design and discover energy-efficient, environmentally friendly, and cost-effective metal-free catalysts for the activation and conversion of small molecules, such as converting carbon dioxide to useful chemicals and fuels. The research approach combines...
- This federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $374,552 to Tulane University to computationally design and experimentally validate single-atom alloy catalysts for oxidation and alkane conversion reactions. The overarching goal is to develop improved catalysts that can enhance process efficiency, economics, and reduce greenhouse gas emissions in the chemical industry. The project will employ computational screening and machine...
- The National Science Foundation (NSF) has awarded a $340,000 Project Grant under the CFDA 47.041 Engineering program to Arizona State University (ASU), doing business as Orspa, to conduct research on "Deconvoluting the Competing Effects of Amorphous Metal Catalysts for CO2 Electrochemical Reduction." The project aims to uncover how atomic disorder in amorphous catalysts can improve reaction rates and selectivity, using the hydrogenation of carbon dioxide over copper as a test case....
This $430,296 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of a design methodology for stable, active, and selective single-atom catalysts (SACs). The project, titled "COLLABORATIVE RESEARCH: DMREF: ATOMICALLY PRECISE CATALYST DESIGN FOR SELECTIVE BOND ACTIVATION," aims to leverage machine learning techniques to regulate the geometric and electronic properties of metal sites within the supporting material to improve their stability and catalytic performance. The goal is to enable selective bond activation, which can significantly reduce capital costs, energy consumption, and CO2 emissions in industrial applications. The interdisciplinary research and integration of education plans will provide a unique training experience for students in heterogeneous catalysis, multiscale modeling, and advanced characterization techniques. The project is being led by the University of Virginia, a prominent public research university, and runs from November 2025 to December 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $430.3k | 12/1/25 |