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RESEARCH PAPER · Digital Discovery · 2023

ESAMP: event-sourced architecture for materials provenance management and application to accelerated materials discovery

Michael J. Statt, Brian A. Rohr, Kris S. Brown, Dan Guevarra, Jens S. Hummelshøj, Linda Hung, Abraham Anapolsky, John M. Gregoire, Santosh K. Suram

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18 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

ESAMP: event-sourced architecture for materials provenance management and application to accelerated materials discoveryOriginalNew challenges in oxygen reduction catalysis: a consortium retrospective to inform future research53From Platform to Knowledge Graph: Evolution of Laboratory Automation108Toward autonomous materials research: Recent progress and future challenges61A Perspective on Digital Knowledge Representation in Materials Science and Engineering40The case for data science in experimental chemistry: examples and recommendations83Integrating autonomy into automated research platforms32The materials experiment knowledge graph25The Materials Provenance Store8Event-driven data management with cloud computing for extensible materials acceleration platforms8Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications0Reproducibility in automated chemistry laboratories using computer science abstractions28Active learning path-dependent properties using a cloud-based materials acceleration platform0Conceptual Foundations for Scientific Audit Trails in Materials AI Systems0Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences3Designing a unified data structure for solid-electrolyte research projects0Beyond structure: revolutionising materials discovery via AI-driven synthesis protocol-property relationships0AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization2AI agents for MOFs and COFs discovery0

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18 direct citing papers saved.

  1. New challenges in oxygen reduction catalysis: a consortium retrospective to inform future research

    Energy & Environmental Science · 2022-01-01

    Michaela Burke Stevens, Megha Anand, Melissa E. Kreider, Eliza K. Price, Jose Andres Zamora Zeledon, Liang Wang, Jiayu Peng, Hao Li, John M. Gregoire, Jens S. Hummelshøj, Thomas Francisco Jaramillo, Hongfei Jia, Jens K. Nørskov, Yuriy Román‐Leshkov, Yang Shao‐Horn, Brian D. Storey, Santosh K. Suram, Steven B. Torrisi, Joseph H. Montoya

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  2. From Platform to Knowledge Graph: Evolution of Laboratory Automation

    JACS Au · 2022-01-10

    Jiaru Bai, Liwei Cao, Sebastian Mosbach, Jethro Akroyd, Alexei A. Lapkin, Markus Kraft

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  3. Toward autonomous materials research: Recent progress and future challenges

    Applied Physics Reviews · 2022-01-13

    Joseph H. Montoya, Muratahan Aykol, Abraham Anapolsky, Chirranjeevi Balaji Gopal, Patrick K. Herring, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Daniel Schweigert, Shijing Sun, Santosh K. Suram, Steven B. Torrisi, Amalie Trewartha, Brian D. Storey

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  4. A Perspective on Digital Knowledge Representation in Materials Science and Engineering

    Advanced Engineering Materials · 2022-04-12

    Bernd Bayerlein, Thomas Hanke, Thilo Muth, Jens Riedel, Markus Schilling, Christoph Schweizer, Birgit Skrotzki, Alexandru Todor, Benjamí Moreno Torres, Jörg F. Unger, Christoph Völker, Jürgen Olbricht

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  5. The case for data science in experimental chemistry: examples and recommendations

    Nature Reviews Chemistry · 2022-04-21

    Junko Yano, Kelly J. Gaffney, John M. Gregoire, Linda Hung, A. Ourmazd, Joshua Schrier, James A. Sethian, Francesca Maria Toma

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  6. Integrating autonomy into automated research platforms

    Digital Discovery · 2023-01-01

    Richard B. Canty, Brent A. Koscher, Matthew A. McDonald, Klavs F. Jensen

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  7. The materials experiment knowledge graph

    Digital Discovery · 2023-01-01

    Michael J. Statt, Brian A. Rohr, Dan Guevarra, Ja'Nya Breeden, Santosh K. Suram, John M. Gregoire

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  8. The Materials Provenance Store

    Scientific Data · 2023-04-06

    Michael J. Statt, Brian A. Rohr, Dan Guevarra, Santosh K. Suram, Thomas E. Morrell, John M. Gregoire

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  9. Event-driven data management with cloud computing for extensible materials acceleration platforms

    Digital Discovery · 2023-12-21

    Michael J. Statt, Brian A. Rohr, Dan Guevarra, Santosh K. Suram, John M. Gregoire

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  10. Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications

    Journal of Computational and Data-Driven Materials Engineering · 2024-01-01

    Maria Hernandez, Carlos Vega

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  11. Reproducibility in automated chemistry laboratories using computer science abstractions

    Nature Synthesis · 2024-10-10

    Richard B. Canty, Milad Abolhasani

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  12. Active learning path-dependent properties using a cloud-based materials acceleration platform

    Digital Discovery · 2025-01-01

    Dan Guevarra, Michael J. Statt, Kostiantyn Popovich, Brian A. Rohr, John M. Gregoire, Kevin Tran, Santosh K. Suram, Joel A. Haber, Willie Neiswanger

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  13. Conceptual Foundations for Scientific Audit Trails in Materials AI Systems

    Journal of Artificial Intelligence for Materials Science · 2025-01-01

    Luis Herrera, Daniela Rojas, Andres Castro

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  14. Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences

    MRS Bulletin · 2025-06-18

    Matthew L. Evans, Gian‐Marco Rignanese, David C. Elbert, Peter Kraus

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  15. Designing a unified data structure for solid-electrolyte research projects

    Science and Technology of Advanced Materials Methods · 2025-10-29

    Yasuhiro Fujiwara, Kota Suzuki, Satoshi Hori, Yoshiyuki Inaguma, Akitoshi Hayashi, Masaki Azuma, Yasutoshi Iriyama, Hirotoshi Yamada, Tetsuhiro Katsumata, Kazunori Takada, Ryoji Kanno, Masahiko Demura

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  16. Beyond structure: revolutionising materials discovery via AI-driven synthesis protocol-property relationships

    Journal of Physics Materials · 2026-05-15

    G. Lambard

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  17. AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization

    Chemical Reviews · 2026-08-03

    Jiwoo Choi, Seongmin Kim, Junkil Park, Junyoung Choi, Sunggi An, Yousung Jung

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  18. AI agents for MOFs and COFs discovery

    AI Agent · 2026-08-17

    Jiayu Yu, Zihao Jiang, Donglin He

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