How AI Found a Cheaper Way to Print High Performance Alloys The world of materials science has long been hampered by a Catch 22: high performance alloys like GRCop 42, used in aerospace applications, are too expensive and difficult to print using conventional methods.
Researchers at Washington State University have addressed this challenge using machine learning to identify successful configurations for printing the notoriously tricky alloy.
The team tackled an enormous problem: 100 million possible settings for the 3D printing process, each potentially expensive and time consuming.