Machine Learning and Materials Science: Unlocking its Potential

Machine learning can speed up the discovery of new metals.

These findings may pave the path for increased use of machine-learning in materials science. This field still heavily relies on laboratory experiments. Experts in materials science say that the use of machine learning to make prediction and then confirm them in the laboratory could also be adapted to other fields such as chemistry or physics.

Michael Titus is an assistant professor at Purdue University who specializes in materials engineering. He was not involved with the research. It is tedious and inefficient to experiment in the laboratory.