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RESEARCH PAPER · Digital Discovery · 2022

Collaborative methods to enhance reproducibility and accelerate discovery

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

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Collaborative methods to enhance reproducibility and accelerate discoveryOriginalTowards Reproducible and Automated Electrochemistry3In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science99ExpFlow: a graphical user interface for automated reproducible electrochemistry10AMPERE: automated modular platform for expedited and reproducible electrochemical testing12Universal chemical programming language for robotic synthesis repeatability39A dynamic knowledge graph approach to distributed self-driving laboratories108Promises and Perils of Big Data: Philosophical Constraints on Chemical Ontologies6Machine Learning Approach towards Quality Assurance, Challenges and Possible Strategies in Laboratory Medicine17Reproducibility in automated chemistry laboratories using computer science abstractions28A revolutionary paradigm in chemistry and materials science research: self-driving laboratories8Unified Language of Operation Units for Robot-Executable Synthesis Protocols0How the past is shaping the future of life science: The influence of automation and AI on biology9Science acceleration and accessibility with self-driving labs83A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Advances in Gasoline Hydrodesulfurization Catalysts: The Role of Structure–Activity Relationships and Machine Learning Approaches13Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14CREOLab: a procedure captioning dataset for understanding creative tool use in object-rich laboratory videos0High-throughput yeast engineering in biofoundries: towards autonomous and scalable synthetic biology7Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape0Ciencia, incertidumbre y construcción contemporánea de la evidencia0

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  1. Towards Reproducible and Automated Electrochemistry

    ChemRxiv · 2023-07-31

    Rebekah Duke, Siamak Mahmoudi, Aman Preet Kaur, Vinayak Bhat, Ian C. Dingle, Nathan C. Stumme, Scott K. Shaw, D. L. Eaton, Asmund Vego, Chad M. Risko

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  2. 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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  3. ExpFlow: a graphical user interface for automated reproducible electrochemistry

    Digital Discovery · 2023-12-05

    Rebekah Duke, Siamak Mahmoudi, Aman Preet Kaur, Vinayak Bhat, Ian C. Dingle, Nathan C. Stumme, Scott K. Shaw, D. L. Eaton, Asmund Vego, Chad M. Risko

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  4. AMPERE: automated modular platform for expedited and reproducible electrochemical testing

    Digital Discovery · 2024-01-01

    Jehad Abed, Yang Bai, Daniel Persaud, Jiheon Kim, Julia Witt, Jason R. Hattrick-Simpers, Edward H. Sargent

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  5. Universal chemical programming language for robotic synthesis repeatability

    Nature Synthesis · 2024-01-11

    Robert Rauschen, Mason A. Guy, Jason E. Hein, Leroy Cronin

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  6. A dynamic knowledge graph approach to distributed self-driving laboratories

    Nature Communications · 2024-01-23

    Jiaru Bai, Sebastian Mosbach, Connor J. Taylor, Dogancan Karan, Kok Foong Lee, Simon D. Rihm, Jethro Akroyd, Alexei A. Lapkin, Markus Kraft

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  7. Promises and Perils of Big Data: Philosophical Constraints on Chemical Ontologies

    Journal of the American Chemical Society · 2024-04-19

    Rebekah Duke, Ryan E. McCoy, Chad M. Risko, Julia R. S. Bursten

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  8. Machine Learning Approach towards Quality Assurance, Challenges and Possible Strategies in Laboratory Medicine

    Journal of Clinical and Translational Pathology · 2024-06-19

    Qurrat ul Ain, Rameesha Nazir, Aleeza Nawaz, Hamza Shahbaz, Areeba Dilshad, Isra Umbreen Mufti, Mariam Iftikhar

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  9. Reproducibility in automated chemistry laboratories using computer science abstractions

    Nature Synthesis · 2024-10-10

    Richard B. Canty, Milad Abolhasani

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  10. A revolutionary paradigm in chemistry and materials science research: self-driving laboratories

    Chemical Communications · 2025-01-01

    Jiaxuan Qiu, Liwen Zhu, Zhe Feng, Zhongzhong Luo, Longlu Wang

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  11. Unified Language of Operation Units for Robot-Executable Synthesis Protocols

    Communications in computer and information science · 2025-01-01

    Yun Zhi Fu, Xiwen Liu

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  12. How the past is shaping the future of life science: The influence of automation and AI on biology

    New Biotechnology · 2025-03-15

    Carrie A. Cizauskas, Erika Alden DeBenedictis, Pete Kelly

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  13. 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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  14. 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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  15. Advances in Gasoline Hydrodesulfurization Catalysts: The Role of Structure–Activity Relationships and Machine Learning Approaches

    ACS Omega · 2025-07-18

    Honglei Sun, Chao Chen, Ran Zhang, Yang Li, Shaohui Ge, Peng Cui

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  16. 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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  17. CREOLab: a procedure captioning dataset for understanding creative tool use in object-rich laboratory videos

    Digital Discovery · 2026-01-01

    Shigeaki Goto, Tatsuki Hasebe

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  18. High-throughput yeast engineering in biofoundries: towards autonomous and scalable synthetic biology

    FEMS Yeast Research · 2026-01-01

    J P O Martinez, Robert E. Speight

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  19. Advances in Fragment-based Drug Design: Lessons and Innovations from the Post-COVID Drug Discovery Landscape

    Mini-Reviews in Medicinal Chemistry · 2026-01-26

    Vatan Chaudhary, Atul Pratap Singh, Himanchal Sharma, Dhananjay Taumar

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  20. Ciencia, incertidumbre y construcción contemporánea de la evidencia

    Unknown journal · 2026-09-10

    Martha Clemencia Garcia Cifuentes, Jonathan Eduardo López Poveda, María Andrea Zambrano Delgado, Francisco Javier Espinoza Huaipatin, Ángel Patricio Herrera-Carrión, Mario Fernando Herrera Venegas, Franklin Patricio Vásquez Chicaiza

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