Technique could efficiently solve partial differential equations for numerous applications

MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.

algorithms applications artificial intelligence chemistry climate computer science and technology data differential dynamics fluid dynamics machine learning mathematics mit mit-ibm watson ai lab mit researchers mit schwarzman college of computing optics physics research researchers school of science solve systems transport