Haoyan Huo

Lawrence Berkeley National Laboratory — United States

Materials Science · Physical Sciences

17h-index1.6kcitations37works25.02yr avg
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Research Topics

Machine Learning in Materials Science(31), X-ray Diffraction in Crystallography(9), Computational Drug Discovery Methods(7), Topic Modeling(6), Advancements in Battery Materials(3)

Publications37 total

Selective formation of metastable polymorphs in solid-state synthesis
Science Advances·2024· 25 citedOpen Access
Atomic-scale probing of short-range order and its impact on electrochemical properties in cation-disordered oxide cathodes
Nature Communications·2023· 42 citedOpen Access
Selective formation of metastable polymorphs in solid-state synthesis
arXiv (Cornell University)·2023· 2 citedOpen Access
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
Science Advances·2023· 51 citedOpen Access
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
arXiv (Cornell University)·2023· 4 citedOpen Access
COVIDScholar: An automated COVID-19 research aggregation and analysis platform
PLoS ONE·2023· 14 citedOpen Access
Unified representation of molecules and crystals for machine learning
Machine Learning Science and Technology·2022· 193 citedOpen Access
Machine-Learning Rationalization and Prediction of Solid-State Synthesis Conditions
Chemistry of Materials·2022· 64 citedOpen Access
Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities
Scientific Data·2022· 56 citedOpen Access
Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature
Scientific Data·2022· 70 citedOpen Access
Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities
arXiv (Cornell University)·2022· 1 citedOpen Access
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science
Patterns·2022· 140 citedOpen Access
Author response for "ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols"
2022
ULSA: Unified Language of Synthesis Actions for Representation of Synthesis Protocols
arXiv (Cornell University)·2022Open Access
ULSA: unified language of synthesis actions for the representation of inorganic synthesis protocols
Digital Discovery·2022· 26 citedOpen Access
Dataset of Solution-based Inorganic Materials Synthesis Procedures Extracted from the Scientific Literature
Figshare·2022Open Access
Dataset of Solution-based Inorganic Materials Synthesis Procedures Extracted from the Scientific Literature
Figshare·2022Open Access
Unified Representation of Molecules and Crystals for Machine Learning - Data and Models
Figshare·2022Open Access
Dataset of Solution-based Inorganic Materials Synthesis Procedures Extracted from the Scientific Literature
Figshare·2022Open Access
Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature
arXiv (Cornell University)·2021· 2 citedOpen Access
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Frequent Co-authors

Gerbrand Ceder(32), Tanjin He(24), Kevin Cruse(18), Olga Kononova(17), Zheren Wang(16), Wenhao Sun(10), Amalie Trewartha(9), Yan Zeng(9), Ziqin Rong(7), Tiago Botari(7), Vahe Tshitoyan(7), Christopher J. Bartel(7), Anubhav Jain(6), Zijian Cai(6), Yuxing Fei(6), Bin Ouyang(5), Matthias Rupp(4), John Dagdelen(4), Kristin A. Persson(4), Tanjin He(4)