Peichen Zhong

Assistant Professor

National University of Singapore

Singapore

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About

Peichen Zhong is an Assistant Professor at the National University of Singapore. His research focuses on machine learning applications in material science, particularly in the context of interatomic potentials, lithium transport in superionic conductors, and crystal structure predictions. Recent articles authored by Dr. Zhong explore the integration of computational methods in understanding complex materials and their properties.

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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Peichen Zhong

Research Interests

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About

Articles (10)

Machine learning of charges and long-range interactions from energies and forces

Systematic softening in universal machine learning interatomic potentials

Crystal structure prediction with host-guided inpainting generation and foundation potentials

The Limited Incorporation and Role of Fluorine in Mn-rich Disordered Rocksalt Cathodes

Effect of Cation Disorder on Lithium Transport in Halide Superionic Conductors

CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling

Morphology Engineering in Multicomponent Hollow Metal Chalcogenide Nanoparticles

Optimizing Li-Excess Cation-Disordered Rocksalt Cathode Design Through Partial Li Deficiency

Modeling Intercalation Chemistry with Multiredox Reactions by Sparse Lattice Models in Disordered Rocksalt Cathodes

Semigrand-canonical Monte-Carlo simulation methods for charge-decorated cluster expansions

Collaborators (5)

Bryan D. McCloskey

Xiaobing Hu

Raphaële Clément

Christopher Bartel

Gerbrand Ceder

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