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Xiaochen Du

Observed name: Du, Xiaochen
ORCID: 0000-0001-6228-0907
Observed ORCID: 0000-0001-6228-0907
OpenAlex ID: A5002462688
Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography
2021 · Jonathan Bouvette, Hsuan-Fu Liu, et al. · Nature Communications · 110
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Machine-learning-accelerated simulations to enable automatic surface reconstruction
2023 · Xiaochen Du, James K. Damewood, et al. · Nature Computational Science · 58
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nextPYP: a comprehensive and scalable platform for characterizing protein variability in situ using single-particle cryo-electron tomography
2023 · Hsuan-Fu Liu, Ye Zhou, et al. · Nature Methods · 56
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Accelerating and Enhancing Thermodynamic Simulations of Electrochemical Interfaces
2025 · Xiaochen Du, Mengren Liu, et al. · ACS Central Science · 21
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Harnessing AtomisticSkills for Agentic Atomistic Research
2026 · Deng, Bowen, Li, Bohan, et al. · arXiv (Cornell University) · 10
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Scaling Autoregressive Models for Lattice Thermodynamics
2026 · Du, Xiaochen, Nam, Juno, et al. · arXiv (Cornell University) · 7
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Discrete Adjoint Schrödinger Bridge Sampler
2026 · Guo, Wei, Zhu, Yuchen, et al. · arXiv (Cornell University) · 7
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Correlation between Charge Transport and Base Excision Repair in the MutY–DNA Glycosylase
2020 · Ruijie D. Teo, Xiaochen Du, et al. · The Journal of Physical Chemistry B · 7
Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography
2021 · Jonathan Bouvette, Mario Borgnia, et al. · Acta Crystallographica Section A Foundations and Advances · 2
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HybriD 3 : Materials Property Database for Hybrid Organic-Inorganic Perovskites
2021 · Xixi Qin, Xiaochen Du, et al. · Bulletin of the American Physical Society · 2
MatD^3^: A Database and Online Presentation Package for Research Data Supporting Materials Discovery, Design, and Dissemination
2020 · Raul Laasner, Xiaochen Du, et al. · The Journal of Open Source Software · 2
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Universal Thermodynamic Interatomic Potentials for Crystalline Materials
2026 · Nam, Juno, Deng, Bowen, et al. · arXiv (Cornell University) · 1
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MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics
2026 · Du, Xiaochen, Nam, Juno, et al. · arXiv (Cornell University) · 1
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Data for: Machine learning-accelerated simulations enable heuristic-free surface reconstruction
2023 · Du, Xiaochen · Zenodo (CERN European Organization for Nuclear Research) · 1
Cryo-ZSSR: multiple-image super-resolution based on deep internal learning
2020 · Huang, Qinwen, Zhou, Ye, et al. · arXiv (Cornell University) · 1
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Predicting Surface Atomic Structures on Doped Perovskite Oxides Using Grand Canonical Monte Carlo: Model System of La0.6Sr0.4FeO3–δ
2026 · Mengren Bill Liu, Hao Tang, et al. · Chemistry of Materials
MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics — ICML 2026 Reproduction Dataset
2026 · Du, Xiaochen · Zenodo (CERN European Organization for Nuclear Research)
Machine Learning for Atomistic Modeling and Sampling of Material Interfaces and Lattices
2026 · Du, Xiaochen · DSpace@MIT (Massachusetts Institute of Technology)
Structure determination of low-molecular weight targets at near-atomic resolution using single-particle cryo-electron tomography
2021 · Hsuan-Fu Liu, Ye Zhou, et al. · Microscopy and Microanalysis
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Materials Property Database for Hybrid Organic-Inorganic Perovskites and Application to Stability and Electronic Structure of (PEA) 2 PbI 4
2020 · Xixi Qin, Xiaochen Du, et al. · Bulletin of the American Physical Society
Works count: 24
Citation count: 289
H-index: 7
I10-index: 5
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