The National Science Foundation awarded Tufts University a $583,993 project grant under the Engineering program (CFDA 47.041) to develop superoptimal biocatalysts for the period of October 1, 2022 to September 30, 2025. The university will evaluate a new computational and materials-based strategy to design enzyme variants with improved properties without trade-offs by relaxing stability criteria and targeting non-cognate substrates. Tufts researchers will use directed evolution and deep...
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 $200,000 Project Grant under the Engineering program (CFDA 47.041) to the Trustees of the Stevens Institute of Technology in Hoboken, NJ. The award will fund research to characterize the nanoscale interactions between biomass-derived carboxylic acids and a platinum catalyst in aqueous reforming processes. This work aims to provide insights on how to design deactivation-resistant catalysts for converting biomass waste streams into renewable hydrogen...
The National Science Foundation awarded a $431,091 Project Grant to the University of Massachusetts under the Engineering federal grant program (CFDA 47.041) to develop computational tools for rational design of nanoporous catalysts for carbonylation reactions. The award period is from September 1, 2022 through August 31, 2027. The project aims to discover effective porous solid-acid catalysts as a technologically and environmentally appealing alternative to rare metal catalysts and corrosive...
The National Science Foundation awarded Tufts University a $100,114 project grant under the Engineering federal grant program (CFDA 47.041) for the period of March 1, 2021 through February 28, 2022. The grant funds the development of fluorescent sensors to measure temperature and iron ion concentrations around magnetic particles exposed to an oscillating magnetic field. The NSF Directorate for Engineering seeks to improve quality of life and economic strength through innovative engineering...
The National Science Foundation (NSF) awarded a $453,701 Project Grant to Clarkson University under the Engineering program (CFDA 47.041) to conduct research on improving electrochemical processes for sustainable fuel and chemical production. The project aims to gain a deeper understanding of the complex chemistry occurring at the interface between electrocatalysts and liquid or polymer electrolytes. Key objectives include: 1) quantifying how solvent, ion, and surface effects influence...
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 $335,964 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) is funding a collaborative research project at Louisiana Tech University to study the stability and coke-resistance of platinum (Pt) nanolayer catalysts supported on molybdenum-titanium-carbon (MXene) materials. The goal is to advance the basic science of heterogeneous catalysis and provide insights to improve catalyst formulations and designs for the energy-intensive process of...
The National Science Foundation (NSF) awarded a $340,000 Project Grant under its Mathematical and Physical Sciences (CFDA 47.049) program to The Administrators of the Tulane Educational Fund, doing business as Tulane University. Researchers at Tulane University and Tufts University will perform computational and experimental investigations using quantum chemistry, machine learning, and atomic-scale characterization to identify and develop a novel class of "dual-atom alloy" catalysts....
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,...