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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Linfeng Yu

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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. · 0 citations

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