Henry Chan

Argonne National Laboratory — United States

Materials Science · Physical Sciences

34h-index4.4kcitations122works6.32yr avg
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Research Topics

Machine Learning in Materials Science(42), nanoparticles nucleation surface interactions(12), Computational Drug Discovery Methods(8), Theoretical and Computational Physics(7), Advanced X-ray Imaging Techniques(7)

Publications122 total

Adaptive AI decision interface for autonomous electronic material discovery
Nature Chemical Engineering·2025
Barrierless nucleation in glassy precursors drives zeolite formation
Proceedings of the National Academy of Sciences·2025Open Access
Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy
Journal of the American Chemical Society·2025
Operating advanced scientific instruments with AI agents that learn on the job
2025· 1 citedOpen Access
Barrierless Nucleation in Glassy Precursors Drives Zeolite Formation
2025
Molecular-resolution imaging of ice crystallized from liquid water by cryogenic liquid-cell TEM
Nature Communications·2025· 2 citedOpen Access
Autonomous Synthesis and Inverse Design of Electronic Polymers with High Efficiency and Accuracy
2025Open Access
Development and assessment of hierarchical multi-reward reinforcement learning based potential for silicene with state-of-the-art models
Materials Today Advances·2025· 3 citedOpen Access
Barrierless Crystallization in Glassy Precursors Drives Zeolite Formation
2025· 1 citedOpen Access
A Digital Twin for Advanced Manufacturing of Materials
2025
Autonomous platform for solution processing of electronic polymers
Nature Communications·2025· 36 citedOpen Access
Integrating Experiments and Simulations to Reveal Anisotropic Growth Mechanisms and Interfaces of a One-Dimensional Zeolite
Chemistry of Materials·2025· 1 cited
Opportunities for retrieval and tool augmented large language models in scientific facilities
npj Computational Materials·2024· 19 citedOpen Access
Automated defect identification in coherent diffraction imaging with smart continual learning
Neural Computing and Applications·2024· 1 cited
Machine Learning a Simple Interpretable Short-Range Potential for Silica
Journal of Chemical Theory and Computation·2024· 4 cited
Depolymerizable and recyclable luminescent polymers with high light-emitting efficiencies
Nature Sustainability·2024· 14 cited
Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning
The Journal of Physical Chemistry A·2024· 4 citedOpen Access
Molecular-Resolution Imaging of Ice Crystallized from Liquid Water
arXiv (Cornell University)·2024Open Access
Tunable Solid‐State Properties and Anisotropic Charge Mobility in Hydrogen‐Bonded Diketopyrrolopyrrole Polymers via Automated Device Fabrication and Characterization
Advanced Functional Materials·2024· 6 citedOpen Access
Artificial Intelligence for Conjugated Polymers
Chemistry of Materials·2024· 35 cited
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Frequent Co-authors

Subramanian K. R. S. Sankaranarayanan(28), Mathew J. Cherukara(16), Badri Narayanan(13), Petr Král(11), Troy D. Loeffler(10), Rohit Batra(7), Sukriti Manna(7), Kiran Sasikumar(5), Tarak K. Patra(5), Stephen K. Gray(4), Juli Feigon(4), Ganesh Kamath(4), Aikaterini Vriza(4), Suvo Banik(4), Srilok Srinivasan(4), Kathleen Collins(3), Z. Hong Zhou(3), Jie Xu(3), Ross Harder(3), Michael Sternberg(3)