Testing a novel chemical process that could simultaneously reduce emissions and remediate pollutants.
Bryan Goldsmith
Mitigating Carbon Dioxide and Nitrate Emissions Using Renewable Energy
Bryan Goldsmith receives OpenEye Outstanding Junior Faculty Award in Computational Chemistry
Dow Corning Assistant Professor Bryan Goldsmith receives the OpenEye Outstanding Junior Faculty Award in Computational Chemistry. The American Chemical Society (ACS) grants the award biannually through their Computers in Chemistry (COMP) Division.
Interpretable machine learning in catalysis
Recent research from U-M ChE professors Suljo Linic and Bryan Goldsmith and their co-advised PhD student Jacques Esterhuizen explores recent advances in machine learning approaches for heterogeneous catalysis.
Machine learning links material composition and performance in catalysts
Understanding how to design better catalysts could enable sustainable energy tech and make everyday chemicals more environmentally friendly.
Chemistry and energy: Machine learning to understand catalyst interactions
Toward harnessing machine learning to design the materials we want.
Bryan Goldsmith is recognized by the American Institute of Chemical Engineers
Named to AIChE’s “35 under 35” list in honor of his accomplishments in energy and environmental research.
