This article discusses the use of machine learning techniques, specifically genetic programming, to optimize the friction stir processing of Cu over Al1050 aluminum alloy.…
Browsing: Mechanical Properties
Researchers at the University of Toronto have developed a novel end-to-end framework to fast-track the discovery of new structural materials. This framework uses machine…
Researchers at the University of Toronto are using machine learning to fast-track the development of advanced structural materials. The team has developed a novel…
Researchers from MIT, the MIT-IBM Watson AI Lab, and Tufts University have developed machine-learning algorithms that can generate proteins with specific structural features. These…
This paper discusses the use of machine learning to predict the crystal structure and mechanical properties of high entropy alloys (HEAs). Five algorithms were…