Project Grant 2247481
- Summary of Federal Project Grant Award This collaborative research project, funded by the National Science Foundation's Division of Chemistry under the Mathematical and Physical Sciences program (CFDA 47.049), addresses the development of photocatalytic descriptors for carbon dioxide conversion. Awarded on September 1, 2025, with a total obligation of $298,686.00 and a completion date of August 31, 2028, the project is led by Professor Gonghu Li at the University of New Hampshire in...
- The National Science Foundation (NSF) awarded a $320,000 Project Grant under its Mathematical and Physical Sciences (CFDA 47.049) program to Tufts University. This 3-year collaborative research project, led by principal investigators at Tufts University and Tulane University, aims to explore a novel class of dual-atom alloy catalysts for efficient and selective chemical conversions. Through a combination of computational modeling using machine learning and density functional theory, as well as...
- 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,...
- Under a $529,170 award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (MPS) program (CFDA 47.049), Professor Robert Paton and his research team at Colorado State University (CSU) will develop new computational workflows to accelerate the discovery and optimization of highly selective catalysts. The project aims to advance mechanistic understanding and establish new quantitative descriptors for three key catalyst and ligand classes - hydrogen-bond donors,...
- Federal Project Grant Award Summary The National Science Foundation (NSF) Division of Chemistry awarded $650,000 to the University of Southern California under the Mathematical and Physical Sciences (CFDA 47.049) program on August 1, 2025, for a three-year project (completion date: July 31, 2028). Professor Smaranda C. Marinescu's research group will develop bio-inspired cobalt complexes with pendent aminopyridine ligands designed to catalyze the electrochemical conversion of carbon dioxide...
- 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 Project Grant from the National Science Foundation Division of Chemistry, under the Mathematical and Physical Sciences program (CFDA 47.049), provides $400,000 to Arizona State University to develop heteratom dimer and cluster catalysts for chemical transformations from June 1, 2023 to May 31, 2026. Professor Jingyue Liu will research precision-designed dual atom catalysts containing pairs of different metal atoms, such as palladium-tin and platinum-copper, localized on isolated metal oxide...
- The National Science Foundation (NSF) Division of Chemistry has awarded a 3-year, $316,588 Project Grant to Long Island University (LIU) under the Mathematical and Physical Sciences program (CFDA 47.049). The purpose of this grant is to support the development of novel carbon nanosphere-encapsulated bimetallic catalysts and metal-CeO2 interfaces for the conversion of carbon dioxide (CO2) to value-added chemicals. The key objectives of this research project are to: (I) leverage the confinement of...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Chemistry awarded $600,000 through the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Alabama to support research on first-row metal pincer catalysts under the direction of Professor Elizabeth Papish. Awarded on July 1, 2025, with completion anticipated by June 30, 2028, this project grant focuses on developing nickel and cobalt catalysts that exploit long-lived excited states to enable...
- The National Science Foundation (NSF) awarded a $399,662 Project Grant to the University of New Hampshire (UNH) under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program. This grant supports Professor Gonghu Li's research on developing new photocatalysts based on earth-abundant metals like copper and nickel as sustainable alternatives to scarce noble metal catalysts. The project aims to design and synthesize supramolecular photocatalysts that can transform carbon dioxide...
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 quantum mechanical modeling with data science and machine learning to accelerate the discovery of novel frustrated Lewis pairs (FLPs) with targeted catalytic reactivity for small molecule activation and conversion. The project will create an open-access FLP database, identify structure-activity relationships for FLPs in carbon dioxide hydrogenation and alkyne semi-hydrogenation using machine learning, and design FLPs with desired properties for small molecule activation and catalysis via deep learning. The project will provide significant educational and research opportunities for the next generation of researchers across chemistry, computational modeling, materials science, catalysis, data science, and artificial intelligence, with a focus on promoting participation from underrepresented groups and women.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $424.4k | 8/17/23 |