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...
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 National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant, awarded to Syracuse University, addresses the challenge of oxidative scission of biomass-derived ketone compounds to produce commodity chemicals. The $205,311 award, with a period of performance from April 2024 to March 2027, aims to provide a quantitative, mechanistic understanding of the catalytic process to enhance the selectivity and yield of desired products while minimizing undesired combustion...
This $150,000 Project Grant from the National Science Foundation Division of Chemistry, under the Mathematical and Physical Sciences program (CFDA 47.049), will fund research at Penn State University to develop microfluidic platforms that harness energy from chemical reactions to enable autonomous fluid transport. Specifically, the award will examine the effects of molecular-scale chemistry on microscale confined fluid flow, and vice versa, to uncover new modes of chemically induced motion and...
The National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded a $372,500 project grant to the Regents of the University of Minnesota to develop AI-enabled automated algorithms for solving complex mathematical optimization problems in chemical engineering. The 3-year research program will leverage state-of-the-art artificial intelligence and machine learning methods to automate the selection and configuration of optimization algorithms for problems arising in chemical...
This National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET) Project Grant of $579,734 awarded to Rutgers, The State University, aims to accelerate the design and development of synthetic enzymes through a combination of artificial intelligence, polymer science, and robotics. The project will implement an iterative design-build-test-learn process to reveal the underlying structure-function relationships that can produce enzyme mimetic...
This $575,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports a collaborative research project led by Professors Keary Engle of the Scripps Research Institute and Peng Liu of the University of Pittsburgh. The project focuses on developing new chemical reactions using earth-abundant nickel catalysts to efficiently synthesize valuable compounds, including medicinally relevant molecules, agrochemicals, and functional...
The National Science Foundation (NSF) awarded a $638,566 Project Grant under the Engineering program (CFDA 47.041) to the University of Delaware. The grant supports a collaborative research effort to develop a computational-experimental methodology using machine learning to design stable, active, and selective single-atom catalysts for industrial applications. The project aims to uncover physics-inspired descriptors to predict how the support material properties influence the stability,...
This $371,708 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) supports fundamental research at Cornell University to develop heuristic rules for enhancing the stability and kinetic accessibility of nanoparticle superlattices. The research aims to formulate and test molecular-simulation based heuristics to predict the correlation between nanoparticle interactions and their self-assembly into target superlattice structures, including for...
The National Science Foundation (NSF) awarded a $453,701 Project Grant to Clarkson University under the Engineering program (CFDA 47.041) to conduct research on improving electrochemical processes for sustainable fuel and chemical production. The project aims to gain a deeper understanding of the complex chemistry occurring at the interface between electrocatalysts and liquid or polymer electrolytes. Key objectives include: 1) quantifying how solvent, ion, and surface effects influence...