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New Approach Could Help Guide the Design of Catalysts
Chemists at the U.S. Department of Energy's Brookhaven National Laboratory have developed a new machine-learning (ML) framework that can zero in on which steps of a multistep chemical conversion should be tweaked to improve productivity.
Laura thomsonmay
Wenjie liao
Stony brook university
Brookhaven lab chemistry division
Catalysis science technology
Brookhaven national laboratory
Catalysis science
Catalysis reactivity
Brookhaven lab
Steering conversion of CO2 and ethane to desired products
UPTON, NY Converting carbon dioxide (CO2) and ethane an underutilized component of natural gas into things we need would be a great way to put a
United states
Zhenhua xie
Jingguang chen
Xiaobo chen binghamton
Xuelong wang
Brookhaven lab
Binghamton university
Lawrence berkeley national laboratory
Columbia university
Brookhaven chemistry division
National synchrotron light source
Brookhaven center
Journal of the american chemical society
Office of science
Argonne national laboratory
National energy research scientific computing center
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