Modelling magnetic material properties with uncertainty-aware neural networks

arXiv:2606.11870 · cond-mat.mtrl-sci, cs.LG · Submitted 2026-06-10 · Read on arXiv

cond-mat.mtrl-sci, cs.LG

Submitted: 2026-06-10

Updated: 2026-10-05

Terminology

• Uncertainty Quantification — 2× in this paper · explained in 9 episodes
• Benchmark — 1× in this paper · explained in 2 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
• Nonlinear dynamics in magnonic Fabry-P' e rot resonators: Low-power neuron-like activation and transmission suppression
• AES-Debye: an Accurate, Efficient, and Scalable Engine for Debye Scattering Calculations
• Cooperative Quantum Optical Effects of Moir'e Exciton Superlattices
• Imaging Surface Magnetization in Altermagnetic MnTe Films
• Accidental accuracy and formal consistency in GW +BSE: Exact benchmarks and regime-dependent error cancellation