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RESEARCH PAPER · Nature Synthesis · 2024

Reproducibility in automated chemistry laboratories using computer science abstractions

Richard B. Canty, Milad Abolhasani

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28 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

Reproducibility in automated chemistry laboratories using computer science abstractionsOriginalApplication of machine learning in adsorption energy storage using metal organic frameworks: A review17Science acceleration and accessibility with self-driving labs83DeepSyn: Operable Chemical Retrosynthetic Design with the DeepSeek R1 Model4Engineering principles for self-driving laboratories14Humanoid robotics in material and chemistry experiments0Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery26Magnetic Stirring May Cause Irreproducible Results in Chemical Reactions25Large language models to accelerate organic chemistry synthesis48Autonomous multi-robot synthesis and optimization of metal halide perovskite nanocrystals20Synergy of Machine Learning and High‐Throughput Experimentation: A Road Toward Autonomous Synthesis8XQueryer: an intelligent crystal structure identifier for powder X-ray diffraction5Benchmarking self-driving labs13Large language model agents as experimental orchestrators in data-driven enzyme engineering1Autonomous catalysis research with human–AI–robot collaboration37Low-Code/No-Code Automation Framework for Library Prep Automation in Next Generation Sequencing (NGS) for Methylation Workflows0Autonomous microfluidic labs: progress and prospects7Can we automate scientific reasoning in closed-loop experiments using large language models?4Do Self-Driving Laboratories Accelerate Discovery or Automate Uncertainty, Bias, and Irreproducible Decisions?0Smart and Sustainable Sample Preparation: A Decision-Centered Framework for Sustainable Analytical Chemistry0Exploring the limitations of kNN noisy feature detection and recovery for self-driving labs0Reimagining metal-organic framework discovery: Integrating experiment, computation, and artificial intelligence6ThinkFactory 2025: Community discussion on harmonizing and accelerating self-driving laboratories1Data-driven approaches for functional ceramics3From Programming to Crystal Growth: High-Throughput Exploration of 3d–4f Cluster Synthesis Conditions–A Laboratory Experiment for First Year Undergraduates0Chem-SDI: Segmentation, detection, and inference model for AI robotic chemists in automated liquid-liquid extraction workflow0The past, present and future of self-driving laboratories5Human-Robot Collaboration in Laboratory Automation: A Critical Review0DRT3-mediated protein-directed DNA synthesis: Mechanism, evolutionary context and engineering prospects0

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  1. Application of machine learning in adsorption energy storage using metal organic frameworks: A review

    Journal of Energy Storage · 2025-01-13

    Nokubonga P. Makhanya, Michael Kumi, Charles Mbohwa, Bilainu Obozokhai Oboirien

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  2. 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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  3. DeepSyn: Operable Chemical Retrosynthetic Design with the DeepSeek R1 Model

    The Journal of Physical Chemistry Letters · 2025-05-12

    Zhenhai Lai, Gaole Dai, Yihua Lu, Yao Xu, Jiagen Li, Xi Zhu

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  4. Engineering principles for self-driving laboratories

    Nature Chemical Engineering · 2025-05-16

    Fernando Delgado‐Licona, Daniel Addington, Abdulrahman Alsaiari, Milad Abolhasani

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  5. Humanoid robotics in material and chemistry experiments

    Science China Materials · 2025-05-28

    Yao Xu, Wentao Yang, Wenguang Tu, Xi Zhu

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  6. Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery

    ACS Nano · 2025-05-29

    Ena Dražić, Darijan Jelušić, Patrizia Janković, Goran Mauša, Daniela Kalafatović

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  7. Magnetic Stirring May Cause Irreproducible Results in Chemical Reactions

    JACS Au · 2025-06-11

    Vera A. Cherepanova, Evgeniy G. Gordeev, Valentine P. Ananikov

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  8. Large language models to accelerate organic chemistry synthesis

    Nature Machine Intelligence · 2025-07-01

    Yu Zhang, Yang Han, Shuai Chen, Ruijie Yu, Xin Zhen Zhao, Xianbin Liu, Kaipeng Zeng, Mengdi Yu, Jidong Tian, Feng Zhu, Xiaokang Yang, Yaohui Jin, Yanyan Xu

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  9. Autonomous multi-robot synthesis and optimization of metal halide perovskite nanocrystals

    Nature Communications · 2025-08-22

    Jinge Xu, Christopher H. J. Moran, Arup Ghorai, Fazel Bateni, Jeffrey A. Bennett, Nikolai Mukhin, Koray Latif, Andrew Cahn, Pragyan Jha, Fernando Delgado‐Licona, Sina Sadeghi, Lior Politi, Milad Abolhasani

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  10. Synergy of Machine Learning and High‐Throughput Experimentation: A Road Toward Autonomous Synthesis

    Chemistry - An Asian Journal · 2025-08-28

    Rizvi Syed Aal E Ali, Jiaolong Meng, Xuefeng Jiang

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  11. XQueryer: an intelligent crystal structure identifier for powder X-ray diffraction

    National Science Review · 2025-09-29

    Bin Cao, Zinan Zheng, Yang Liu, Longhan Zhang, Lawrence W.‐Y. Wong, Lu‐Tao Weng, Jia Li, Haoxiang Li, Tong‐Yi Zhang

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  12. Benchmarking self-driving labs

    Digital Discovery · 2025-10-09

    Adedire D. Adesiji, Jiashuo Wang, Cheng-Shu Kuo, Keith A. Brown

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  13. Large language model agents as experimental orchestrators in data-driven enzyme engineering

    Current Opinion in Biotechnology · 2025-10-31

    Yuan Gao, Lihao Fu, Tong Si

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  14. Autonomous catalysis research with human–AI–robot collaboration

    Nature Catalysis · 2025-11-05

    Negin Orouji, Jeffrey A. Bennett, Richard B. Canty, Long Hao Qi, Shijing Sun, Paulami Majumdar, Chong Liu, Núria López, Neil M. Schweitzer, John R. Kitchin, Hongliang Xin, Milad Abolhasani

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  15. Low-Code/No-Code Automation Framework for Library Prep Automation in Next Generation Sequencing (NGS) for Methylation Workflows

    Unknown journal · 2025-11-18

    Saket Mishra

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  16. Autonomous microfluidic labs: progress and prospects

    Lab on a Chip · 2026-01-01

    Suyash Damir, Fernando Delgado‐Licona, Andrew J. deMello, Milad Abolhasani

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  17. 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

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  18. Do Self-Driving Laboratories Accelerate Discovery or Automate Uncertainty, Bias, and Irreproducible Decisions?

    Pharmacophore · 2026-01-01

    Hao Chen, Fang Liu, Zhao Lin, Wei Zhang

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  19. Smart and Sustainable Sample Preparation: A Decision-Centered Framework for Sustainable Analytical Chemistry

    SSRN Electronic Journal · 2026-01-01

    Hakim Faraji, Bárbara Socas-Rodríguez, Antonio V. Herrera‐Herrera, Miguel Ángel Rodríguez‐Delgado

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  20. 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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  21. Reimagining metal-organic framework discovery: Integrating experiment, computation, and artificial intelligence

    Chem · 2026-02-25

    Madeleine A. Gaidimas, Jiaru Bai, Yeonghun Kang, Kent O. Kirlikovali, Varinia Bernales, Alán Aspuru‐Guzik, Omar K. Farha

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  22. ThinkFactory 2025: Community discussion on harmonizing and accelerating self-driving laboratories

    Matter · 2026-03-31

    Thomas Pickles, Sterling G. Baird, Mohammad Salehian, Alastair James Florence

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  23. Data-driven approaches for functional ceramics

    Materials Science and Engineering R Reports · 2026-04-01

    Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

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  24. From Programming to Crystal Growth: High-Throughput Exploration of 3d–4f Cluster Synthesis Conditions–A Laboratory Experiment for First Year Undergraduates

    Journal of Chemical Education · 2026-04-24

    Ming‐Qiang Qi, Yue-Bo Qi, Jin-Cheng Lv, G CHEN, Xin-Ya Diao, Zhen-an Cai, Ming‐Hao Du, Jun-Ping Li, Cheng Wang, Xiang‐Jian Kong, Yanping Ren, Lasheng Long, Lan‐Sun Zheng

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  25. Chem-SDI: Segmentation, detection, and inference model for AI robotic chemists in automated liquid-liquid extraction workflow

    Microchemical Journal · 2026-06-26

    Xiongjun Fu, Haopeng Wang, Wusheng Peng, Yugang Chen, Lizhu Dong, Shuangyi Li, Xinyao Ge, Shasha Wang, Xiaogang Cheng, Ling-Hai Xie, Wei Huang

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  26. The past, present and future of self-driving laboratories

    Nature Reviews Chemistry · 2026-07-30

    Richard B. Canty, Milad Abolhasani

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  27. Human-Robot Collaboration in Laboratory Automation: A Critical Review

    International Conference on Automation and Computing (ICAC) · 2026-08-01

    Tye Cameron-Robson, Erfu Yang, Lynn Donlon, Oliver Willis

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  28. DRT3-mediated protein-directed DNA synthesis: Mechanism, evolutionary context and engineering prospects

    Gene Reports · 2026-10-07

    Bishal Singh, Abhisekh Sah, Akshay Kumar, Muskan Kapoor, Deepak Kumar

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