The National Science Foundation awarded a $361,820 Project Grant to the Regents of the University of Minnesota under the Engineering (47.041) federal grant program. The three-year award will fund research to develop computational methods for coordinating industrial process networks in a highly electrified chemical industry. Specifically, the university researchers will design new cooperative optimization and market mechanisms to facilitate demand response, provision of interruptible load, and...
This Project Grant award of $450,000 from the National Science Foundation's Engineering program (CFDA 47.041) will support research on bi-level optimization for hierarchical machine learning problems. The award to the Regents of the University of Minnesota, conducting the work through their Office of Sponsored Projects Administration, aims to develop new approaches for modeling, analyzing, and innovating on a wide array of emerging machine learning applications using bi-level optimization...
The University of Minnesota was awarded a three-year, $335,337 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to develop mechanics-based algorithms for sampling, control, and learning in non-convex domains. The grant will support research from September 2021 through August 2024 to improve techniques for modeling and optimizing complex systems with non-smooth or discontinuous behaviors. As the NSF's Engineering directorate seeks to advance innovation and...
This $485,752 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports collaborative research to develop a data-driven approach to microreaction engineering guided by autonomous robotic experimentation. Key products and services include the creation of an interdisciplinary knowledge framework to accelerate mechanistic reaction studies and synthesis process development for emerging materials and molecules with multi-stage chemistries. Researchers will...
North Carolina State University will receive $751,968 over three years from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041) to develop a data-driven approach to accelerate materials and molecule design through autonomous robotic experimentation. The university will create a modular artificial intelligence framework to guide multi-stage chemical synthesis of emerging materials...
The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $388,369 Project Grant to the Regents of the University of Minnesota to support research extending the catalytic activity of enzymes to unnatural reactions from May 15, 2021 through April 30, 2024. Under the grant, the University of Minnesota will conduct research exploring how to engineer enzymes to catalyze reactions not found in nature, with the goal of expanding the...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $472,000 Project Grant to the Regents of the University of Minnesota, a non-profit 1862 land grant college, to develop a general framework for designing and analyzing decentralized and federated learning systems. The proposed work aims to unify various distributed algorithms and provide insights to streamline their design and analysis across a range of applications beyond machine learning, such as control...
The National Science Foundation (NSF) awarded a $320,117 Project Grant under the Engineering program (CFDA 47.041) to the Colorado School of Mines. The grant, awarded on August 1, 2025, will fund the development of machine learning tools to rapidly predict the attractive forces between desired molecules and candidate adsorbent surfaces. This will enable the identification of optimal adsorbents for industrially important separation processes involving chemisorption. The project aims to...
This National Science Foundation (NSF) Project Grant award, under the Engineering program (CFDA 47.041), provides $330,130 to North Carolina State University (NC State) from January 1, 2025 to December 31, 2027 to develop new data-driven methodologies for modeling, analyzing, and controlling nonlinear chemical processes. The project aims to create innovative state-space models and machine learning-based techniques to: 1) reconstruct hidden process states from input/output data, 2) analyze...
This three-year, $360,000 project grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will support research at the University of Minnesota exploring alkali metal-based selective combustion catalysts. The goal is to develop an improved process for converting light hydrocarbon alkanes to olefins, key building blocks for polymer materials production. The University of Minnesota team will systematically study the structural and...