Skip to content

Author

Ting Liang

We have 2 of 15 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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.

Dong-Liang Ding, Min-Hao Zou, Ruo-Yu Huang et al. · 0 citations
Open access Aug 2026

CGNEP‐MB‐pol: A Single‐Site Coarse‐Grained Machine Learning Potential for Water

A CG machine learning potential for water, named CGNEP‐MB‐pol, is introduced, which integrates a one‐molecule to one‐bead mapping with the neuroevolution potential (NEP) framework and MB‐pol reference data, thereby aiming to alleviate, within the liquid‐water and ice‐Ih states examined here, the state dependence and li...

Ke Xu, Fuyin Yin, Yue Zhang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.