Toyota Research Institute reviews eight years of polymer electrolyte research with MIT: closed-loop design of robotic experiments and machine learning accelerates materials discovery

Toyota Research Institute (TRI) reviewed eight years of polymer electrolyte research conducted by its AMDD project at MIT, producing about 40 papers and 7 doctoral dissertations and building a robotic experimentation platform that shortened tests that originally took about a month to completion within a day. The team also developed a multitask graph neural network to accelerate MD simulations and released the largest polymer simulation dataset, but the authors believe that AI can currently accelerate optimization within a class of materials, and that breakthrough polymers relying on new physical mechanisms still require human creativity.