Project Grant 2440024
- 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...
- The National Science Foundation awarded a $401,696 Project Grant to the University of Texas at Dallas under the Engineering program (CFDA 47.041) for the period of October 1, 2022 to April 30, 2025. The award will support research to characterize, model, and mitigate the accelerated aging of electrical insulation systems exposed to high slew rate and repetitive voltage pulses generated by emerging wide bandgap power electronics. The grantee will conduct experimental investigations to...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $296,743 to Baylor University to conduct collaborative research on a new class of electric machines called "mixed-pole, multiphase synchronous reluctance machines." The research aims to develop more efficient, flexible, and scalable electric motor systems that can reduce dependence on rare-earth magnets, which are vulnerable to supply chain disruptions. The project has the...
- The National Science Foundation (NSF) awarded a $290,477 Project Grant under the Engineering program (CFDA 47.041) to Tennessee Technological University to conduct collaborative research on mixed-pole, multi-phase synchronous reluctance motor drives. This research explores a new class of electric machines that can improve energy conversion, torque density, and fault tolerance without using rare-earth magnets. The project aims to advance the theory and enable independent modulation of multiple...
- This Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering federal grant program (CFDA 47.041), provides $480,172 to develop modeling and experimentation frameworks for studying energy dynamics in modern power systems and power electronics. The University of Texas at Austin, through its parent organization the University of Texas System, will create equivalent circuit models for multidisciplinary systems incorporating...
- This Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $250,000 to the University of Texas at Dallas to design and experimentally demonstrate computing systems with extreme energy efficiency. Specifically, the project aims to leverage magnetic skyrmions, which are magnetic quasiparticles, to develop reversible and reservoir computing systems that can significantly reduce the environmental and economic costs of computer energy consumption....
- The National Science Foundation (NSF) awarded a $399,999 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Texas at Dallas (UTD). The funding supports a collaborative research project to develop and harness quasi-one-dimensional topological materials for novel electronic, optoelectronic, and sensing functionalities. The project aims to overcome key challenges in current topological insulator materials by focusing on quasi-one-dimensional...
- The National Science Foundation (NSF) Engineering Program awarded The Trustees of Princeton University's Office of Research and Project Administration a $338,926 Project Grant to conduct fundamental research on modeling and designing complex power magnetic components for electrical power converters. The goals are to develop systematic methods for modeling and designing multi-winding power magnetics, create software tools for optimal power magnetic design, and demonstrate the effectiveness of the...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $450,000 to Colorado State University (CSU) from August 1, 2024 to July 31, 2027. The project aims to develop a novel adaptive, fully anisotropic multiscale hp-element method to revolutionize simulation-based design in computational electromagnetics (CEM). The research will create exponentially convergent techniques to accurately and efficiently model multiscale, non-smooth behavior...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) is for $429,040 over a period of 3 years beginning on Sep 15, 2025. The award is to The University of Texas at San Antonio (UTSA) to develop a novel mathematical and computational framework to dramatically accelerate the calibration of digital models for Digital Twin (DT) applications. This research aims to overcome the current technical barrier of slow...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $500,945 to the University of Texas at Dallas (UTD) to develop advanced multiphysics models for electric machine topology optimization. The goal is to create fast, flexible, and accurate electromagnetic, structural, and thermal equivalent circuit models that enable the design of novel electric machine geometries optimized for cost, efficiency, and performance across multiple applications, including space exploration. The project will integrate these models to enable simultaneous consideration of electromagnetic, structural, and thermal performance during topology optimization, which is expected to yield new electric machine designs that reduce costs and losses. The award period is from October 1, 2025 to September 30, 2030. The project will also create educational modules to teach students engineering model development and integration.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.9k | 7/24/25 |