Metal ceramics under AI control: A new approach for calculating the mechanical properties of materials
Researchers from the Skoltech Materials Center have proposed a new approach to modeling the mechanical properties of heterogeneous materials, combining machine learning with active learning on local chemical configurations. The method enables calculations of large systems containing tens of thousand...
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Researchers from the Skoltech Materials Center have proposed a new approach to modeling the mechanical properties of heterogeneous materials, combining machine learning with active learning on local chemical configurations. The method enables calculations of large systems containing tens of thousands of atoms with accuracy comparable to direct quantum-mechanical calculations (DFT), but without requiring extensive computational resources.
Originally published at Phys.org
