RESOLVING THE LEDGER
This is one outlet's own report from Phys.org — the article as it was filed. Other outlets are covering the same event; open the full story to compare every source side by side.
See the full story · 1 sources
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.
AIPROPX is an independent multi-source news index — we track, compare, and connect coverage from across the web into one place you won't find anywhere else.