BetaCitation Atlas

RESEARCH PAPER · MRS Bulletin · 2023

How to build an effective self-driving laboratory

Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette

Read original paper ↗

See where this research leads.

15 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
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

How to build an effective self-driving laboratoryOriginalBalancing act: when to flex and when to stay fixed6Understanding and leveraging short-range order in compositionally complex alloys17Leveraging GPT-4 to transform chemistry from paper to practice14The future of self-driving laboratories: from human in the loop interactive AI to gamification102AI for Technoscientific Discovery: A Human-Inspired Architecture769Chapter 4 The autonomous revolution: role of AI in self-driving labs for materials sciences2The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers6Optimized Machine Learning for Autonomous Enzymatic Reaction Intensification in a Self‐Driving Lab14Artificial intelligence for drug delivery: Yesterday, today and tomorrow27Can we automate scientific reasoning in closed-loop experiments using large language models?4Combinatorial to autonomous experimentation0Risk Mitigation Strategies for Artificial Intelligence-Enabled Self-Driving Laboratories0Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery1The ADePT framework for assessing autonomous laboratory robotics8Additive manufacturing enabled autonomous laboratory for materials discovery and concurrent design of materials and shape0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

15 direct citing papers saved.

  1. Balancing act: when to flex and when to stay fixed

    Trends in Chemistry · 2023-11-17

    Rama El-khawaldeh, Jason E. Hein

    Read original paper ↗ ·

  2. Understanding and leveraging short-range order in compositionally complex alloys

    MRS Bulletin · 2023-11-20

    Mitra L. Taheri, Elaf A. Anber, Annie K. Barnett, Simon J. L. Billinge, N. Birbilis, Brian DeCost, Daniel L. Foley, Emily Holcombe, Jonathan D. Hollenbach, Howie Joress, Georgia Leigh, Yevgeny Rakita, James M. Rondinelli, Nathan Smith, Michael J. Waters, Chris M. Wolverton

    Read original paper ↗ ·

  3. Leveraging GPT-4 to transform chemistry from paper to practice

    Digital Discovery · 2024-01-01

    Wenyu Zhang, Mason A. Guy, Jerrica Yang, Lucy Hao, Junliang Liu, Joel M. Hawkins, Jason Mustakis, Sébastien Monfette, Jason E. Hein

    Read original paper ↗ ·

  4. The future of self-driving laboratories: from human in the loop interactive AI to gamification

    Digital Discovery · 2024-01-01

    Holland E. Hysmith, Elham Foadian, Shakti P. Padhy, Sergei V. Kalinin, R. G. Moore, Olga S. Ovchinnikova, Mahshid Ahmadi

    Read original paper ↗ ·

  5. AI for Technoscientific Discovery: A Human-Inspired Architecture

    Journal of Creativity · 2024-02-08

    Jeff Y. Tsao, R.G. Abbott, Douglas Cale Crowder, Saaketh Desai, Rémi Dingreville, James Elliott Fowler, A. Garland, Prasad P. Iyer, J. Murdock, Scott Steinmetz, K.A. Yarritu, C. Mark Johnson, David John Stracuzzi

    Read original paper ↗ ·

  6. 69Chapter 4 The autonomous revolution: role of AI in self-driving labs for materials sciences

    De Gruyter eBooks · 2025-06-25

    Neha Minocha, Parijat Pandey

    Read original paper ↗ ·

  7. The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

    Advanced Intelligent Discovery · 2025-07-09

    Simon Krarup Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli

    Read original paper ↗ ·

  8. Optimized Machine Learning for Autonomous Enzymatic Reaction Intensification in a Self‐Driving Lab

    Biotechnology and Bioengineering · 2025-08-04

    Sebastian Putz, Niklas Teetz, Michael Abt, Pascal Jerono, Thomas Meurer, Matthias Franzreb

    Read original paper ↗ ·

  9. Artificial intelligence for drug delivery: Yesterday, today and tomorrow

    Acta Pharmaceutica Sinica B · 2025-09-17

    Yiyang Wu, Nannan Wang, Ping Xiong, Ruifeng Wang, Jiayin Deng, Defang Ouyang

    Read original paper ↗ ·

  10. Can we automate scientific reasoning in closed-loop experiments using large language models?

    Digital Discovery · 2026-01-01

    A. Cisse, Max Cooper, Mengjia Zhu, Xenophon Evangelopoulos, Andrew Ian Cooper

    Read original paper ↗ ·

  11. Combinatorial to autonomous experimentation

    Elsevier eBooks · 2026-01-01

    Krishna Rajan

    Read original paper ↗ ·

  12. Risk Mitigation Strategies for Artificial Intelligence-Enabled Self-Driving Laboratories

    Applied Biosafety · 2026-01-28

    Leyma P. De Haro

    Read original paper ↗ ·

  13. Accelerated Emergence of Self-Driving Laboratories for Accelerating Materials Discovery

    ACS Central Science · 2026-02-18

    Amanda K. Brown, Abhishek Soni, Daniel Lin, Curtis P. Berlinguette

    Read original paper ↗ ·

  14. The ADePT framework for assessing autonomous laboratory robotics

    Communications Chemistry · 2026-02-20

    Pablo José Salazar Villacis, Brahim Benyahia

    Read original paper ↗ ·

  15. Additive manufacturing enabled autonomous laboratory for materials discovery and concurrent design of materials and shape

    MRS Bulletin · 2026-06-01

    Peter C. Collins, Thomas K. Ales

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.