This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award totaling $150,000 is funding a two-year exploratory research project (August 1, 2024 to July 31, 2026) led by the University of Iowa. The project aims to address fundamental challenges in translating on-ground manufacturing systems to reliable in-space production by developing a real-time heterogeneous transfer active learning framework. This framework will leverage knowledge from well-studied, data-rich...
The National Science Foundation (NSF) Directorate for Engineering (CFDA Program 47.041) awarded a $344,126 Project Grant to the University of Wisconsin System for a 3-year research project focused on developing new mathematical methods and computational tools to enable the use of complex data formats, such as visual and thermal images, for advanced model predictive control (MPC) systems. The key objectives are to: Integrate concepts from control theory, topology, machine learning, and Bayesian...
The National Science Foundation awarded a $199,998 Project Grant to The Trustees of the Stevens Institute of Technology under the Engineering program (CFDA 47.041) to develop new teaching methods and tools to facilitate knowledge transfer within engineering curricula. Specifically, the awardee will first seek to understand barriers engineering students face in applying knowledge across courses. They will then design and test in-class activities to promote knowledge transfer, assessing student...
This $447,589 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports fundamental research and educational activities at the University of Wisconsin-La Crosse. The project aims to develop a deeper understanding of how electrochemically active nanofluids - colloidal suspensions of nano-sized particles in fluids like water - can be leveraged for energy storage and conversion applications. Key objectives include modifying nanoparticle surfaces to...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $650,000 to the University of Wisconsin-Madison to conduct research on understanding and mitigating process drift issues in aerosol jet printing, a method for high-resolution printed electronics manufacturing. The research aims to investigate the underlying physical dynamics causing particle drift in the aerosol jet printing process through direct numerical simulations and detailed...
The National Science Foundation (NSF) awarded a $271,362 Project Grant to the University of Washington under the Engineering program (CFDA 47.041) with a performance period from January 1, 2024 to June 30, 2025. The grant will fund the development of efficient surrogate modeling methods to predict discontinuous design performance in complex engineering systems, such as smart factories and autonomous material handling systems. The research aims to facilitate the solution of challenging...
This $1.02 million National Science Foundation Project Grant, funded under the Engineering program (CFDA 47.041), supports the development of computation-informed deep learning approaches to enable real-time prognosis of melt pool dynamics for additive manufacturing. Over the three-year period from July 2022 to June 2025, the awardee, Rutgers University, will create an integrated model using computational fluid dynamics simulations and deep learning to predict melt pool overheating during...
The National Science Foundation (NSF) Engineering program awarded a $299,999 EAGER grant to the Regents of the University of Michigan (CFDA 47.041) to explore the use of large language models (LLMs) like ChatGPT to generate qualitative datasets for engineering education research on cultural norms related to stress and mental health. The 2-year project aims to develop guidelines for leveraging LLMs to enhance existing qualitative methods and overcome their limitations. Specifically, the...
This National Science Foundation (NSF) Engineering program project grant awarded $252,964 to the University of Wisconsin System to investigate a new paradigm for integrating multiple chemical functionalities into a bio-inspired system similar to biological vascular and nervous systems. The research will focus on enabling power distribution, information transfer, and energy storage capabilities in electrolytic fluid-based systems to support applications in soft robotics. The project aims to...
This $100,000 two-year Project Grant from the National Science Foundation's Engineering Education and Centers division will fund research at Tufts University examining how virtual and physical laboratory modes differentially influence the development of engineering students' epistemic practices. The NSF Directorate for Engineering seeks to improve quality of life and economic strength through engineering innovation and excellence in research and education programs like the Engineering program...