Computer simulations and artificial intelligence often make significant errors when predicting the properties of new, high-performance materials, according to a new international study led by the ...

Researchers from the University of Chicago and UC Berkeley have developed a new design strategy for carbon capture materials.

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...

A team of engineers at Sandia National Laboratories developed a rapid method for simulating heat shield materials in ...

Argonne National Laboratory named five scientists as Argonne Distinguished Fellows in 2025. They are Seth B. Darling, Katrin ...

Rapid advances in the kind of problems that quantum computers can tackle suggest that they are closer than ever to becoming ...

UL’s Bernal Institute hosts materials scientists collaborating with Kyoto University’s Prof Susumu Kitagawa, winner of the Nobel Prize in Chemistry.

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce parts far stronger than those made using traditional manufacturing ...

UD's Center for Composite Materials reflects on a legacy of innovation and charts a course for the next half-century ...

A new class of ceramics are not only transparent, but they can control light with exceptional efficiency—better than any ...

Understanding quantum computing, from qubits science and tech breakthroughs to future quantum applications, and discovering how close we are to real-world use cases ...