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AI-based model measures atomic defects in materials

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
Science Daily

Machine learning takes materials modeling into new era

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...
Nanowerk

Researchers use AI to uncover atomic defects in materials

A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...
The Conversation

A new type of material called a mechanical neural network can learn and change its physical properties to create adaptable, strong structures

Ryan Lee has received funding from the Air Force Office of Science Research . The new material is a type of architected material, which gets its properties mainly from the geometry and specific traits ...
EurekAlert!

Novel machine learning model can predict material failure before it happens

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...