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Zhi-Mei Sun

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Sep 2026

Interfacial Charge-Transfer Dynamics in Type-II Mg1In2Se4/Sb van der Waals Heterostructures for Optoelectronics

Two-dimensional (2D) semiconductors are highly promising for advanced optoelectronics but are fundamentally limited by strong excitonic binding and unbalanced carrier transport. Here, we design a Mg1In2Se4/Sb van der Waals heterostructure that simultaneously overcomes these bottlenecks through synergistic thermodynam...

Di Zhang, Sheng-Xian Liu, Jian Zhou et al. · 0 citations
Review Open access Aug 2026

Zentropy Theory in Materials Science: Challenges and Opportunities

Zentropy theory has emerged as a multiscale thermodynamic framework that bridges quantum mechanics, statistical mechanics, and macroscopic materials behavior by embedding internal degrees of freedom within configurational ensembles. This review summarizes its theoretical foundations, representative applications, curren...

Shucheng Xing, Jian Zhou, Zhimei Sun · 0 citations
Preprint Aug 2026

ALKEMIE Agent: an autonomous platform for computational materials design

ALKEMIE Agent is introduced, an agentic platform in which retrieval-augmented generation, a materials-computation knowledge base, registered skills, database-supported provenance, AI-assisted structure modeling, bounded task execution, tool-calling iteration, and error-diagnostic assistance are integrated within a trac...

Hongfu Huang, Yu-Zhe Li, Ao Xu et al. · 0 citations
Aug 2026

Machine Learning-Accelerated Prediction of Surface Energy in van der Waals Crystals.

This study developed an efficient framework integrating density functional theory with machine learning methods to predict surface energies in vdW crystals, by combining structural characteristics with elemental properties and found that the generative adversarial network achieved the best performance.

Shangbin Wu, Naihua Miao, Yu Shu et al. · 0 citations
Preprint Jul 2026

AI2Pot: A scalable and unified framework for machine-learning interatomic potential development and large-scale molecular dynamic simulations

AI2Pot is presented, a scalable and unified MLIP framework that seamlessly integrates model training, evaluation, and large-scale MD simulations with PyTorch-compatible ecosystem, and offers an user-friendly end-to-end framework for the developing, training, and deploying MLIPs for large scale MD.

Hanyu Liu, Linggang Zhu, Xuanguang Zhang et al. · 0 citations

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