Project Grant 2309530

Award Date 9/1/23
Completion Date 8/31/26
Dollars Obligated $105K
Funding Federal Agency
Office of Integrative Activities
Awarding Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.083
Assistance Type
Project Grant
Place of Performance
Auburn University, AL 36849, USA
Similar Awards
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $148,832 Project Grant to The Trustees of Columbia University in the City of New York, operating as Columbia University, to develop fast, low-memory numerical methods for solving the radiative transfer equation. This three-year grant, under NSF's Mathematical and Physical Sciences program (CFDA 47.049), aims to overcome the computational challenges associated with the high dimensionality of the radiative transfer...
This $275,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences supports the development of novel approaches to solving inverse problems. The goal is to enhance the accuracy and efficiency of computational methods used in critical applications like electrical impedance tomography, inverse scattering, and cryo-electron microscopy. This research has the potential to accelerate breakthroughs in molecular biology and rapid drug development, directly...
The National Science Foundation awarded a $410,808 CAREER grant to the Trustees of the Stevens Institute of Technology to develop advanced mathematical and computational models for improving the accuracy, speed, and applicability of radiation heat transfer estimations in complex porous media. The 5-year project (1/1/2024 - 12/31/2028) aims to establish a novel analytical framework that combines abstraction models representing macro-scale configurations with regression models based on...
The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $350,000 Project Grant titled "COLLABORATIVE RESEARCH: BREAKING THE 1D BARRIER IN RADIATIVE TRANSFER: FAST, LOW-MEMORY NUMERICAL METHODS FOR ENABLING INVERSE PROBLEMS AND MACHINE LEARNING EMULATORS" to the University of Wisconsin - Madison under the Mathematical and Physical Sciences Program (CFDA 47.049). The project aims to develop fast, low-memory numerical methods to solve the full radiative...
This $200,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support the development of analytic and numerical methods for emerging tomography techniques at North Carolina State University from August 1, 2022 to July 31, 2025. Specifically, the awardee will address mathematical problems arising from multi-energy computed tomography (MECT) and Compton camera imaging (CCI) to advance these promising medical imaging methods. For...
The National Science Foundation awarded a $300,000 project grant under the Mathematical and Physical Sciences program to study Radiation Transport in Strongly Coupled High-Energy-Density Plasmas. With a performance period of August 15, 2021 through July 31, 2024, this award will support research into major problems confronting the nation by increasing understanding of radiation transport phenomena in plasmas. Specifically, the grantee in Ann Arbor, Michigan will analyze radiation dynamics in...
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 three-year Project Grant from the National Science Foundation's $350,928 Engineering program (CFDA 47.041) will fund research at Purdue University on extraordinary radiative transfer through hyperbolic materials and interfaces. The grant aims to advance fundamental understanding of enhanced radiative heat transfer inside newly discovered hyperbolic materials and across material interfaces and devices. Researchers will investigate the spectral, temperature-dependent and spatial properties of...
This $150,000 federal Project Grant award from the National Science Foundation's (NSF) Integrative Activities (IA) program will support computational research at Auburn University for developing efficient algorithms to address inverse and optimal design problems in topological wave insulators. The project aims to provide new computational frameworks to analyze the spectral properties of partial differential equation models for topological wave insulators, with the goal of improving the...
Auburn University received a $271,389 project grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041). The award will fund the development of mathematical models to investigate the drying-induced assembly of nanoparticles with interaction or shape anisotropy into colloidal supraparticles from September 15, 2022 through August 31, 2025. Specifically, complementary...

The National Science Foundation (NSF) awarded a $104,586 Project Grant through its Integrative Activities program (CFDA 47.083) to Auburn University. The grant is for the development of new computational tools based on an adaptive hybrid formulation to efficiently solve the radiative transport equation, which is a key model used in applications such as biomedical imaging, clinical radiotherapy treatment planning, and security scanning. The project aims to combine the advantages of differential and integral formulations to improve the computational efficiency of solving this high-dimensional problem. The research will benefit a broad class of forward and inverse problems, and potentially extend to other applications based on nonlocal partial differential equation models. The funding will support the dissemination of the developed mathematical tools and computational algorithms, as well as education and training of future researchers in this interdisciplinary area.

Generated 4/30/24, 9:11 AM