Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...

Neural networks are emerging as transformative tools in the field of material sciences by providing new avenues for constitutive modelling. Integrating advanced algorithms with physics-based insights, ...

British biochemist Professor Frederick Sanger was awarded his second Nobel Prize for Chemistry in 1980. He is only the third person to win Nobel Prizes for science in the history of he awards and ...

(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...

Skoltech researchers have presented a new simple physical model for predicting the hardness of materials based on information about the shear modulus and equations of the state of crystal structures.

Symmetry broken is one of most fundamental elements that consist of the paradigm of emergent physical sciences as addressed by Nobel Laureate P.W. Anderson. The general known ferroic orders include ...

Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...

A technical paper titled “Field-Effect Transistors based on 2-D Materials: a Modeling Perspective” was published by researchers at ETH Zurich. “Two-dimensional (2D) materials are particularly ...