Project Grant W911NF261A003

This $275,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a suite of software that automatically routes building services systems through 3D obstructed space to achieve near-optimal, clash-free solutions. The project involves developing a highly efficient 3D modeling environment using "low-resolution surface tessellation" to minimize data storage and...

This Project Grant from the National Science Foundation will fund the development of a level-set-based, multi-physics and multi-material topology optimization software for electric machine design. The $550,000 award, made under the NSF Technology, Innovation, and Partnerships program, will support work at Stony Brook University from August 1, 2022 to July 31, 2025. The software aims to improve electric generator and motor designs through parametric topology optimization of magnets. This will...

This three-year, $631,860 project grant from the National Science Foundation's Division of Computing and Communication Foundations, under the Computer and Information Science and Engineering program, will support the development of efficient algorithms for optimal transport in geometric settings. The researchers at Duke University will advance theoretical understanding of optimal transport and bridge gaps between theory and practice of algorithm development. They will exploit combinatorial,...

This Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program provides $500,000 to Carnegie Mellon University (CMU) to develop systems that enable robots to navigate public spaces safely and in a socially acceptable manner. The research aims to address the challenges robots face in managing the complexities of real-world public areas, such as obstacles, uneven sidewalks, and interactions with pedestrians. By engaging...

This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $415,754 to the Texas A&M Engineering Experiment Station (Tees) to advance computational methods for accurately characterizing the mechanical behavior of critical materials. The key products and services to be delivered include: Developing a global programming "epsilon-optimal" spatial branching technique using a novel class of efficient convex underestimators. An...

This three-year, $498,773 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports research to bridge locally stress-constrained topology optimization and additive manufacturing. Principal Investigator Princeton University will conduct research to develop unified stress-constrained topology optimization approaches that accommodate infinite load cases and spatially varying material properties. It will also validate optimized multi-material and...

This Project Grant award from the National Science Foundation (CFDA 47.041 Engineering) provides $599,957 to the University of North Carolina at Charlotte (UNC Charlotte) to develop a hybrid quantum-classical approach for topology optimization in engineering design. The research aims to improve the efficiency, scalability, and robustness of computational tools used for optimizing complex engineering structures like aircraft components and automotive frames. The key research tasks include: 1)...

This Project Grant from the National Science Foundation's ($247K) Computer and Information Science and Engineering program supports collaborative research on the complexity of semidefinite and polynomial optimization through the lens of real algebraic geometry. The research will be conducted between Purdue University as the primary awardee and Carnegie Mellon University as a sub-awardee over a three year period starting in October 2021. The grant aims to advance understanding of optimization...

This three-year $300,000 Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering (47.041) federal grant program, funds research at New York University to advance the mathematical foundations and develop new tools for real-time distributed optimization-based control of large-scale nonlinear uncertain systems. Specifically, the award supports three research tasks: 1) synthesizing distributed optimization algorithms robust...

This $275,000 Project Grant from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports research on optimization algorithms and digital twins constrained by partial differential equations (PDEs) that incorporate data to make decisions resilient to uncertainty. The research will develop: (1) inexact adaptive semismooth Newton and trust-region methods to solve these optimization problems; (2) primal dual...