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Review Open access Sep 2026

Mapping immune cell metabolic reprogramming from mechanistic hotspots to translational directions: A bibliometric analysis with exploratory clinical evidence.

BACKGROUND Immune cell metabolic reprogramming links immune function, disease microenvironments, and therapeutic responses. Although research in this field has expanded rapidly, the relationships among immune cell types, metabolic pathways, and clinical scenarios remain fragmented. METHODS English language articles a...

Lin-Xi Liu, Si-Xian Chen, Hao-Yu Wan · 0 citations
Review Oct 2026

Specialized machine learning force fields for materials dynamics

Machine learning interatomic potentials (MLIPs) are transforming atomistic simulations by accessing unprecedented length and time scales. While pretrained equivariant graph neural networks achieve robust zero-shot performance for near-equilibrium properties across broad chemical spaces, their translation to complex mat...

Yue Wu, Hao-Yu Wan, Yuan Tian et al. · 0 citations
Open access Aug 2026

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

A Graph‐Potential Cross‐Modal Contrastive Learning framework designed to uncover correlations between crystal and electronic structures and drive artificial intelligence to transcend simple numerical fitting and learn physically informative representations, facilitating future potential‐contour‐based inverse material d...

Hao-Yu Wan, Yue Wu, Tian-Hao Su et al. · 0 citations

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