To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...
The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...
Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...
Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...
Three University of Wyoming College of Engineering and Applied Science professors have been awarded a $750,000 NASA grant to lead a team of researchers in developing machine learning materials and ...
Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...
Professor James Rondinelli and Dean Christopher Schuh were honored as MRS Fellows for their outstanding contributions to the ...
Elizabeth Hutton is the lead machine learning engineer at the Cisco Webex Contact Center AI team, where she leads building in-house AI solutions from research and development to production. It’s a ...
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