Virtual-Alloy Physics-Aware Semantic System for extrapolative prediction of perovskite solar cells

arXiv:2610.18949 · cond-mat.mtrl-sci, cs.LG · Submitted 2026-10-13 · Read on arXiv

cond-mat.mtrl-sci, cs.LG

Submitted: 2026-10-13

Updated: 2026-10-13

Comments: 22 pages, 4 figures, 16 tables; Supporting Information included

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alloy — 1× in this paper · explained in 1 episode

Related papers

• Mode-selective electron-phonon coupling drives charge density waves in the kagome metals YRu 3 Si 2 and LaRu 3 Si 2
• 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
• AES-Debye: an Accurate, Efficient, and Scalable Engine for Debye Scattering Calculations