Author

Ruoyu Huang

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Open access Aug 2026

Multi-objective and cross-scale inverse design of temperature-control materials via physics-constrained machine learning

An artificial intelligence framework that incorporates a physics-constrained inverse-design system (PHICS) built upon a directed acyclic graph (DAG) architecture for CPCMs, integrating interface, phase, and carrier engineering.

Dongliang Ding, Min-hao Zou, Ruoyu Huang et al. · National Science Review · 0 citations