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.

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...

Researchers from Chinese Academy of Sciences propose a hierarchical Physics-Informed AI framework that balances model fidelity with speed, paving the way for reliable Digital Twins Researchers from ...

Henan University of Technology researchers report on the development of a lightweight lattice-based limb design for a bionic robot. Lightweight structures that can withstand high loads and torsion are ...

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 ...