Additive manufacturing (AM), often referred to as three-dimensional (3D) printing, has revolutionised modern production by enabling the layer-by-layer fabrication of parts with intricate geometries ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...