Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials

2026-10-29来源 NVIDIA Developer BlogEnglish
Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials
Colorful matrix-like blocks transition into a lattice of spheres, illustrating computation for atomistic simulation.Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These...Colorful matrix-like blocks transition into a lattice of spheres, illustrating computation for atomistic simulation.

Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These simulations come with a cost-accuracy trade-off. Quantum-mechanical methods such as density functional theory (DFT) can provide accurate energies and forces, but their computational cost often limits their use for large systems or long…

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