Discovering High-Strength Alloys via Physics-Transfer Learning

arXiv:2403.07526 · cond-mat.mtrl-sci, cs.LG, physics.comp-ph · Submitted 2024-03-12 · Read on arXiv

cond-mat.mtrl-sci, cs.LG, physics.comp-ph

Submitted: 2024-03-12

Updated: 2025-01-26

Terminology

• Accuracy — 3× in this paper · explained in 1 episode
• Transfer Learning — 1× in this paper · explained in 16 episodes

Related papers

• Mode-selective electron-phonon coupling drives charge density waves in the kagome metals YRu 3 Si 2 and LaRu 3 Si 2
• Direct Raman observation of the quantum metric in a quantum magnet
• Restoring the Surface Magnetic Gap in MnBi 2 Te 4
• ATLAS: A Foundation Neural Sampler for Amorphous Materials
• A Generalizable Machine Learning Framework for Half-Heusler Thermoelectrics
• Nonlinear dynamics in magnonic Fabry-P' e rot resonators: Low-power neuron-like activation and transmission suppression