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RESEARCH PAPER · Digital Discovery · 2023

The laboratory of Babel: highlighting community needs for integrated materials data management

Brenden Galen Pelkie, Lilo D. Pozzo

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

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

The laboratory of Babel: highlighting community needs for integrated materials data managementOriginalComputational and data-driven modelling of solid polymer electrolytes21Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics12What is missing in autonomous discovery: open challenges for the community44In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99Chemical Species Ontology for Data Integration and Knowledge Discovery38PMD Core Ontology: Achieving semantic interoperability in materials science71Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications0Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing8Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data10Machine learning for analyses and automation of structural characterization of polymer materials43Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor4Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward38Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control14Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science11Towards High-Throughput Materials Advancement: Thinking About Database Management in Our Studying-Polymers-on-a-Chip (SPOC) Platform1Science acceleration and accessibility with self-driving labs83A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Computer vision for high-throughput materials synthesis: a tutorial for experimentalists6Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.01Advanced engineering of inorganic semiconductor nanowires: Materials-by-design for next-generation green energy technologies0

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20 direct citing papers saved.

  1. Computational and data-driven modelling of solid polymer electrolytes

    Digital Discovery · 2023-01-01

    Kaiyang Wang, Haoyuan Shi, Tianjiao Li, Liming Zhao, Hanfeng Zhai, Deepa Korani, Jingjie Yeo

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  2. Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics

    Chemical Communications · 2023-01-01

    Jeffrey Ting, Teresa Tamayo-Mendoza, Shannon R. Petersen, Jared Van Reet, Usman Ali Ahmed, Nathaniel J. Snell, John D. Fisher, Mitchell Stern, Felipe Oviedo

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  3. What is missing in autonomous discovery: open challenges for the community

    Digital Discovery · 2023-01-01

    Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben J. Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion Cohen, Rebecca L. Davis, Ian T Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun

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  4. In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science

    Journal of the American Chemical Society · 2023-09-27

    Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch

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  5. Chemical Species Ontology for Data Integration and Knowledge Discovery

    Journal of Chemical Information and Modeling · 2023-10-26

    Laura Pascazio, Simon D. Rihm, Ali Naseri, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

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  6. PMD Core Ontology: Achieving semantic interoperability in materials science

    Materials & Design · 2023-12-28

    Bernd Bayerlein, Markus Schilling, Henk Birkholz, Matthias Jung, Jörg Waitelonis, Lutz Mädler, Harald Sack

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  7. 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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  8. Enhancing Reproducibility in Precipitate Analysis: A FAIR Approach with Automated Dark-Field Transmission Electron Microscope Image Processing

    Integrating materials and manufacturing innovation · 2024-01-18

    Ghezal Ahmad Jan Zia, Thomas Hanke, Birgit Skrotzki, Christoph Völker, Bernd Bayerlein

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  9. Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data

    Integrating materials and manufacturing innovation · 2024-04-09

    Kareem S. Aggour, Vijay S. Kumar, Vipul Kumar Gupta, Alfredo Gabaldon, Paul E. Cuddihy, Varish Mulwad

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  10. Machine learning for analyses and automation of structural characterization of polymer materials

    Progress in Polymer Science · 2024-05-03

    Shizhao Lu, Arthi Jayaraman

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  11. Ontology‐Based Data Acquisition, Refinement, and Utilization in the Development of a Multilayer Ferrite Inductor

    Advanced Engineering Materials · 2024-06-20

    Björn Mieller, Sahar Ben Hassine, Jörg Töpfer, Christoph Priese, Arne Bochmann, Beate Capraro, Sebastian Stark, Uwe Partsch, Carina Fresemann

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  12. Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward

    Macromolecules · 2024-09-07

    Peter A. Beaucage, Duncan R. Sutherland, Tyler B. Martin

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  13. Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control

    Computers in Industry · 2024-11-08

    Pierluigi Del Nostro, Gerhard Goldbeck, Ferry Kienberger, Manuel Moertelmaier, Andrea Pozzi, Nawfal Al‐Zubaidi R‐Smith, Daniele Toti

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  14. Concepts for a Semantically Accessible Materials Data Space: Overview over Specific Implementations in Materials Science

    Advanced Engineering Materials · 2024-12-18

    Bernd Bayerlein, Jörg Waitelonis, Henk Birkholz, Matthias Jung, Markus Schilling, Philipp v. Hartrott, Marian Bruns, Jörg Schaarschmidt, Kristian Beilke, Marcel Mutz, Vincent Nebel, Veit Königer, Lisa Beran, Tobias Kraus, Akhilesh Vyas, Lars Vogt, Moritz Blum, Basil Ell, Ya‐Fan Chen, Tina Waurischk, Akhil Thomas, Ali Riza Durmaz, Sahar Ben Hassine, Carina Fresemann, Gordian Dziwis, Hossein Beygi Nasrabadi, Thomas Hanke, Melissa Telong, Stephan Matthias Pirskawetz, Mohamed Kamal, Thomas Bjarsch, Ursula Pähler, Peter Hofmann, Mena Leemhuis, Özgür Lütfü Özçep, Lars‐Peter Meyer, Birgit Skrotzki, Jörg Neugebauer, Wolfgang Wenzel, Harald Sack, Christoph Eberl, Pedro Dolabella Portella, Tilmann Hickel, Lutz Mädler, Peter Gumbsch

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  15. Towards High-Throughput Materials Advancement: Thinking About Database Management in Our Studying-Polymers-on-a-Chip (SPOC) Platform

    ˜The œminerals, metals & materials series · 2025-01-01

    J. C. Jimenez, M. Marufu, K. E. Rivadeneira Velasco, B. Au, Robert Cerda, N. Ojal, M. Wood, Y. Xiao, Aldair E. Gongora, J. J. Schwartz

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  16. Science acceleration and accessibility with self-driving labs

    Nature Communications · 2025-04-24

    Richard B. Canty, Jeffrey A. Bennett, Keith A. Brown, Tonio Buonassisi, Sergei V. Kalinin, John R. Kitchin, Benji Maruyama, R. G. Moore, Joshua Schrier, Martin T. Seifrid, Shijing Sun, Tejs Vegge, Milad Abolhasani

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  17. A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research

    Applied Sciences · 2025-05-07

    Lukas Nolte, Sven Tomforde

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  18. Computer vision for high-throughput materials synthesis: a tutorial for experimentalists

    Digital Discovery · 2025-12-23

    Madeleine A. Gaidimas, Abhijoy Mandal, Pan Chen, Shi Xuan Leong, G. C. Kim, Akshay Talekar, Kent O. Kirlikovali, Kourosh Darvish, Omar K. Farha, Varinia Bernales, Alán Aspuru‐Guzik

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  19. Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

    Advanced Engineering Materials · 2026-07-28

    Markus Schilling, Philipp v. Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Christoph Eberl

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  20. Advanced engineering of inorganic semiconductor nanowires: Materials-by-design for next-generation green energy technologies

    Energy Reviews · 2026-10-01

    Sunday Temitope Oyinbo, Hoe-Gil Lee, Sikiru Oluwarotimi Ismail, Tien‐Chien Jen

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