Machine learning reveals rapid material classification
Tuesday, March 26, 2019 - 07:30
in Physics & Chemistry
A research team at The University of Tokyo has developed a powerful machine learning algorithm that predicts the properties and structures of unknown samples from an electron spectrum. This process may rapidly accelerate the process of discovering and testing novel nanomachines, solar cells, and other electronic devices.