Peichen Zhong

Orcid: 0000-0003-1921-1628

According to our database¹, Peichen Zhong authored at least 10 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

A universal augmentation framework for long-range electrostatics in machine learning interatomic potentials.

[BibT_eX]

[DOI]

Théo Jaffrelot Inizan

Bingqing Cheng

CoRR, July, 2025

Cross-functional transferability in universal machine learning interatomic potentials.

[BibT_eX]

[DOI]

CoRR, April, 2025

Machine learning interatomic potential can infer electrical response.

[BibT_eX]

[DOI]

CoRR, April, 2025

Large Language Models Are Innate Crystal Structure Generators.

[BibT_eX]

[DOI]

CoRR, February, 2025

2024

Learning charges and long-range interactions from energies and forces.

[BibT_eX]

[DOI]

CoRR, 2024

Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Christopher J. Bartel

Gerbrand Ceder

Nat. Mac. Intell., September, 2023

Computational Modeling of Multicomponent Disordered Rocksalt Cathodes

[BibT_eX]

[DOI]

Peichen Zhong

PhD thesis, 2023

CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling.

[BibT_eX]

[DOI]

Christopher J. Bartel

Gerbrand Ceder

CoRR, 2023

2022

smol: A Python package for cluster expansions and beyond.

[BibT_eX]

[DOI]

J. Open Source Softw., 2022

Peichen Zhong

Timeline

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