Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...

Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

(Nanowerk Spotlight) The development of new materials has played a significant role in the progress of humanity, both historically and presently. The study of materials is essential for developing new ...

UB engineer Kaihang Shi specializes in using artificial intelligence, molecular simulation and other approaches to create nanomaterials for energy and sustainability applications. He recently received ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...