Project Grant 2527294
Award Date 9/1/25
Completion Date 8/31/28
Dollars Obligated $100K
Federal Agency
Awardee
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Hamden, CT 06511, USA
Similar Awards
- This federal Project Grant award of $100,000.00 from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of an Artificial Intelligence (AI)-enhanced multiphysics and multiscale framework to investigate the mechanistic modeling of erythrophagocytosis - the complex process by which phagocytic cells recognize, engulf, and digest aged or diseased red blood cells. The project aims to quantify the impact of biochemical signaling...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049), supports the development of an AI-enhanced multiphysics and multiscale framework to investigate the complex process of erythrophagocytosis - the recognition, engulfment, and digestion of aged or diseased red blood cells by phagocytic cells. The $100,000 award to the University of Georgia aims to validate the hypothesis that...
- This $240,000 federal Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting research at Yale University to develop new computational frameworks that combine large language models with neural operator learning techniques. The goal is to improve the ability to model and analyze spatiotemporal phenomena in biomedical research, such as tracking cellular and brain processes over time and...
- This $350,000 federal Project Grant was awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The goal of the research is to develop accurate mathematical models and computer simulations for studying non-equilibrium systems with memory effects, such as those found in biosystems, plasma evolution, and solid-state nanostructures. The Principal Investigator will focus on analytical and numerical approaches to statistical transport...
- This Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) provides $950,000 to The Research Foundation For The State University Of New York from February 2023 through January 2026. The award supports research into regulating iron homeostasis by controlling the fate of intracellular ferritin. A multidisciplinary team will use structural biology, spectroscopy, microscopy, proteomics, and other analytical tools to delineate the mechanisms determining...
- This $760,046 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a computationally-efficient multiscale modeling framework that integrates machine learning and artificial intelligence to predict structural and functional changes in the heart due to disease progression. The project aims to build fundamental understanding of heart disease by combining techniques from...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $292,686 to Brandeis University to develop coarse-grained models and numerical methods for simulating the behavior of fluids containing suspended elastic objects, such as red blood cells and platelets, in confined geometries. The goal is to accurately capture the effects of boundary interactions and accelerate simulations of these phenomena, which are relevant for...
- This Project Grant award of $506,803, provided by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), will fund research by the Research Foundation for the State University of New York (RF SUNY) to develop advanced multiscale modeling capabilities for predicting thrombus (clot) formation and its response to external loads. The goal is to create computational tools that can better forecast clot growth and rupture under varying blood flow conditions, such as pulsatile...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research to characterize the mechanical response of blood clots under external load. The $138,893 award to The Research Foundation for the State University of New York will develop a hybrid particle-continuum model to predict clot strength, toughness, and dynamic modulus based on clot composition. The research aims to advance understanding of how individual clot components,...
- This Project Grant award of $569,364 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will fund a 5-year research project conducted by Lehigh University. The goal is to develop a comprehensive understanding of the emergent behavior of finite microswimmer clusters in Newtonian and complex fluids, such as those found in biomedical applications like minimally invasive surgery and targeted drug delivery. The project will use a novel framework combining experimental,...