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RESEARCH PAPER · Computers & Chemical Engineering · 2024

A workflow management system for reproducible and interoperable high-throughput self-driving experiments

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9 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

A workflow management system for reproducible and interoperable high-throughput self-driving experimentsOriginalSelf-Driving Development of Perfusion Processes for Monoclonal Antibody Production2A property graph schema for automated metadata capture, reproducibility and knowledge discovery in high-throughput bioprocess development5Development of the autonomous lab system to support biotechnology research30Automated regression of bioreactor models using a Bayesian approach for parallel cultivations in robotic platforms5Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14Self‐Driving Development of Perfusion Processes for Monoclonal Antibody Production1Exploring the limitations of kNN noisy feature detection and recovery for self-driving labs0A foundational representation for an orchestrated lab0IBISBA: Digitalisation to empower biotechnology and drive biomanufacturing0

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9 direct citing papers saved.

  1. Self-Driving Development of Perfusion Processes for Monoclonal Antibody Production

    Qeios · 2024-09-06

    Claudio Müller, Thomas Vuillemin, Chethana Janardhana Gadiyar, Jean‐Marc Bielser, Jonathan Souquet, Alessandro Fagnani, Michael Sokolov, Moritz von Stosch, Fabian Feidl, Alessandro Butté, Mariano Nicolás Cruz Bournazou

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  2. A property graph schema for automated metadata capture, reproducibility and knowledge discovery in high-throughput bioprocess development

    Digital Discovery · 2025-01-01

    Federico Martín Mione, Martin Francisco Luna, Lucas Kaspersetz, Peter B. Neubauer, Ernesto Carlos Martinez, Mariano Nicolás Cruz Bournazou

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  3. Development of the autonomous lab system to support biotechnology research

    Scientific Reports · 2025-02-24

    Keiji Fushimi, Yusuke Nakai, Akiko Nishi, Ryō Suzuki, Masahiro Ikegami, Risa Nimura, Taichi Tomono, Ryota Hidese, Hisashi Yasueda, Yusuke Tagawa, Tomohisa Hasunuma

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  4. Automated regression of bioreactor models using a Bayesian approach for parallel cultivations in robotic platforms

    Biochemical Engineering Journal · 2025-03-19

    Martin Francisco Luna, Federico Martín Mione, Lucas Kaspersetz, Peter B. Neubauer, Ernesto Carlos Martinez, Mariano Nicolás Cruz Bournazou

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  5. Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective

    Computers & Chemical Engineering · 2025-07-26

    You-Hyun Kim, Hayoung Doo, Daeun Shin, Seo Yoon Lee, Seo Yoon Lee, Yugyeong Roh, Seong‐Eun Park, Heejin Song, Yujin Jung, Hyuk Jun Yoo, Sang Soo Han, Jong Woo Kim, Maximilian O. Besenhard, Ye Seol Lee, Jonggeol Na

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  6. Self‐Driving Development of Perfusion Processes for Monoclonal Antibody Production

    Biotechnology and Bioengineering · 2025-12-12

    Chethana Janardhana Gadiyar, Claudio Müller, Thomas Vuillemin, Jean‐Marc Bielser, Jonathan Souquet, Alessandro Fagnani, Michael Sokolov, Moritz von Stosch, Fabian Feidl, Alessandro Butté, Mariano Nicolás Cruz Bournazou

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  7. Exploring the limitations of kNN noisy feature detection and recovery for self-driving labs

    Machine Learning Science and Technology · 2026-02-16

    Qiuyu Shi, Kangming Li, Yao Fehlis, RUNZE ZHANG, Daniel Persaud, Robert W. Black, Jason R. Hattrick-Simpers

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  8. A foundational representation for an orchestrated lab

    Device · 2026-06-01

    Willi Gottstein, Aurélien Blanc, Sissi Feng, Brandon R. Sutherland, Sergio Pablo‐García

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  9. IBISBA: Digitalisation to empower biotechnology and drive biomanufacturing

    Biotechnology Advances · 2026-09-01

    Brett Metcalfe, Jasper J. Koehorst, Theodore M. Dalamagas, Georgios K. Georgakilas, Antonis C. Kokossis, Vítor A. P. Martins dos Santos, Michael Joseph O’Donohue

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