3 Questions: How artificial intelligence is supercharging materials science

Machine learning and artificial intelligence are increasingly being used in materials science research. For example, MIT associate professor of materials science and engineering Juejun “JJ” Hu developed an algorithm that enhances the performance of a chip-based spectrometer, and Atlantic Richfield Associate Professor of Energy Studies Elsa A. Olivetti built an artificial-intelligence system that scours through scientific papers to deduce materials science “recipes.” These and other MIT professors, as well as keynote speaker Brian Storey, Toyota Research Institute’s director of accelerated materials design and discovery, will discuss insights and breakthroughs in their research using machine learning at the MIT Materials Research Laboratory’s annual Materials Day Symposium on Wednesday, Oct. 9 in Kresge Auditorium. Associate Professor Hu recently explained what led to his breakthrough spectrometer, and why he is optimistic that machine learning and artificial intelligence are becoming an everyday tool in materials research.  Q: Your spectrometer work in particular made use Continue reading 3 Questions: How artificial intelligence is supercharging materials science