Project Grant 2408928
Award Date
8/1/24
Completion Date
7/31/27
Dollars Obligated
$220K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Berkeley, CA 94720, USA
Similar Awards
This $136,924 National Science Foundation project grant supports the development of a smart stent for post-endovascular aneurysm repair surveillance at the University of South Florida. The key product to be delivered is a flexible, battery-less bioelectronic stent system that combines piezoelectric porous membrane sensors and microcoils for near-field magnetic induction communication. The smart stent will be woven with sensors inside and outside of a conventional stent graft to enable wireless...
This $200,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports a collaborative research effort led by New York University (NYU) School of Medicine. The project aims to enhance the design of fluorinated protein fibers and hydrogels for medical applications. Key objectives include: 1) generating coiled-coil fluorinated fibers for controlled drug delivery, 2) developing temperature-responsive fluorinated hydrogels,...
This $209,530 federal Project Grant awarded by the National Science Foundation (NSF) Office of Integrative Activities (CFDA 47.083) supports the development of computational techniques for efficient, scalable, and versatile processing of large unstructured mesh data. Led by Clemson University's Division of Research, the project aims to disrupt the serialized approach to mesh processing by introducing pipelined and overlapped techniques that enable concurrent data provisioning and consumption....
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 $476,886 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Boston University to develop computational models for predicting the spatiotemporal distribution of growth factors in tissue engineering scaffolds. The goal is to optimize scaffold designs to achieve optimal growth factor exposure profiles that improve tissue regeneration outcomes, particularly for cartilage repair. The research utilizes reaction-diffusion...
This $349,999 Project Grant, awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041), aims to create a new biomaterial platform that can precisely control the composition and stiffness of the extracellular matrix (ECM) to investigate how these factors influence airway basal stem cell (BC) self-renewal and differentiation. The interdisciplinary research combines expertise in materials science, stem cell biology, and regenerative medicine to develop an advanced...
This $319,951 Project Grant, awarded by the National Science Foundation (NSF) Division of Mathematical Sciences, supports the development and analysis of new computational methods for studying complex fluid systems on deforming surfaces. The key products and services to be delivered through this 3-year award include: Developing and analyzing a finite element method for tangential fluid systems on moving surfaces, a multi-component surface flow problem, and a fluid-elastic interface model to...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) seeks to improve the design and safety evaluation of Nitinol medical devices through the development of a specialized multiscale computational modeling approach using artificial intelligence (AI). The $200,000 award, effective September 1, 2024 through August 31, 2026, will be executed by the Regents of the University of Minnesota. The research aims to create a validated modeling method that...
This $512,000 National Science Foundation project grant to Angioinsight, Inc. supports the development of reduced order modeling methods to estimate fractional flow reserve (FFR) values using angiographic data. The NSF Division of Industrial Innovation awarded this grant under the Engineering program (CFDA 47.041) to advance the diagnosis of coronary artery disease. Specifically, the one-year project beginning June 15, 2022 will develop and calibrate a reduced order model leveraging graph theory...
This $1,199,991 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop novel technologies for real-time assessment of blood clot properties to improve stroke treatment. The key products and services under this grant include: Integration of a sub-millimeter Raman fiber probe into a catheter for intravascular, in-vivo measurement of clot chemical composition. Training of a convolutional neural network to...