Project Grant 2405018
Award Date
7/1/24
Completion Date
6/30/27
Dollars Obligated
$139K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Mississippi State, MS 39762, USA
Similar Awards
This Project Grant award from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems (CFDA 47.041 - Engineering) provides $154,577 to Duke University to develop machine learning algorithms for predicting protein-nanoparticle interactions. The research team will characterize protein adsorption on nanoparticles with varying properties and train machine learning models to forecast protein corona formation. The project aims to promote the safe...
This National Science Foundation (NSF) Engineering (CFDA 47.041) project grant award of $269,542, effective March 1, 2025 through February 29, 2028, supports a collaborative research project led by Rutgers, The State University to develop a data science-enabled approach for learning, predicting, and simulating the behavior of nanoparticle populations in advanced nanomanufacturing processes. The project aims to combine numerical simulations with in-situ environmental transmission electron...
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 Project Grant of $199,778 will support the development of new machine learning-enabled nanoinformatics tools and systems to advance nanomaterial design through 2026. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), this award to the Regents of the University of Minnesota will deliver a novel machine learning-based nanoinformatics framework. This framework will integrate new digital representations of nanostructures with...
This National Science Foundation (NSF) Project Grant, awarded under the Engineering program (CFDA 47.041), provides $357,033 to North Dakota State University (NDSU) from August 15, 2023 to July 31, 2026 to support research on protein manipulation and engineering using an electronic biochemical approach. The project aims to develop a single-molecule manipulation technique to study the dynamics of protein-protein interactions, which is critical for understanding the causes of diseases related to...
The National Science Foundation (NSF) awarded a $325,164 CAREER grant under its Engineering program (CFDA 47.041) to the University of South Carolina (USC) to conduct multiscale simulations of iron oxide nanoparticle-protein electron transfer. The goal is to elucidate the fundamental mechanisms of these nano-bio interactions to enable more efficient environmental applications using coupled iron oxide nanoparticles and metal-reducing bacteria. The 2-year project will integrate computational...
The University of Wisconsin - Madison, operating as Research and Sponsored Programs under the University of Wisconsin System, was awarded a $510,959 Project Grant by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to develop computational methods to design nanoparticles for use with a variety of cell types. The project aims to combine all-atom molecular dynamics simulations, topological data analysis, and machine learning to predict the binding of proteins to...
This National Science Foundation (NSF) Project Grant award under the Engineering (CFDA 47.041) program totaling $165,437 is funding research to visualize and characterize the motion and interaction of individual nanoparticles near surfaces. The awardee, Georgia Tech Research Corporation, will develop a workflow combining nanoscale microscopy with data-driven modeling to study how nanoparticles move and interact in heterogeneous environments, with applications in areas such as nanomedicine,...
This federal Project Grant award was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The primary objective of this $245,916 award to the University of Maryland, College Park is to develop a novel machine learning-based nanoinformatics framework to address computational challenges in large-scale nanomaterial data mining and analysis. Key research goals include automating nanostructure digitalization,...
The National Science Foundation (NSF) awarded a $299,913 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Rutgers, The State University in New Brunswick, NJ. This 2-year EAGER award titled "NAIRR PILOT: IMPRESS: INTEGRATED MACHINE-LEARNING FOR PROTEIN STRUCTURES AT SCALE" aims to harness artificial intelligence (AI) and high-performance computing (HPC) to revolutionize the design and validation of tailored proteins. The project will...