In thinking about how so many of the recent events Machine Design has covered have focused on artificial intelligence, I ...

In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with ...

In a bid to explore MAX phases with experimental significance across a significantly broader combinatorial space, the researchers of this study pioneered the development of a machine-learning model ...

Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool ...

"Machine learning is normally very data intensive, and it's difficult to generate a lot of data when you're using high-quality data from finite element analysis. But the multi-objective Bayesian ...

Dr Butler’s research group focusses on developing and applying new machine learning methods for analysing materials data and developing workflows for functional materials design. Recently his ...

Siemens demonstrates cutting-edge adaptive control monitoring capabilities at the TIMTOS 2025 machine tool expo in Taipei.

Newly published research from our team suggests that machine learning can act ... have spent decades trying to design their own enzymes to make new molecules, materials or therapeutics.

The global material informatics market size is projected to grow from USD 170.4 million in 2025 to USD 410.4 million in 2030, ...