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Papers citing The rise of self-driving labs in chemical and materials sciences

  1. ExpFlow: a graphical user interface for automated reproducible electrochemistry

    Digital Discovery · 2023

    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. Diversifying self-assembled phases in block copolymer thin films via blending

    Physical Review Materials · 2023

    Gregory S. Doerk, Kevin G. Yager

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  3. Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

    Nature Reviews Drug Discovery · 2023

    Alexander Tropsha, Olexandr Isayev, Alexandre A. Varnek, Gisbert Schneider, Artem R Cherkasov

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  4. Autonomous nanomanufacturing of lead-free metal halide perovskite nanocrystals using a self-driving fluidic lab

    Nanoscale · 2023

    Sina Sadeghi, Fazel Bateni, Taekhoon Kim, Dae Yong Son, Jeffrey A. Bennett, Negin Orouji, Venkat S. Punati, Christine Stark, Teagan D. Cerra, Rami Awad, Fernando Delgado‐Licona, Jinge Xu, Nikolai Mukhin, Hannah Dickerson, Kristofer G. Reyes, Milad Abolhasani

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  5. Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts

    Journal of Materials Chemistry A · 2023

    Ken J. Jenewein, Luca Torresi, Navid Haghmoradi, Attila Kormányos, Pascal Friederich, Serhiy Cherevko

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  6. Optimization of Microbial a Fuel Cell with Linear Sweep Voltammetry and Microfluidics

    ChemRxiv · 2023

    Jayesh M. Sonawane, Jesse Greener

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  7. Differential microthermometry enables high-throughput calorimetry

    Energy & Environmental Science · 2023

    Amin Kazemi, Mohammad Zargartalebi, David A. Sinton

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  8. Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

    Science · 2023

    Brent A. Koscher, Richard B. Canty, Matthew A. McDonald, Kevin P. Greenman, Charles J. McGill, Camille Bilodeau, Wengong Jin, Haoyang Wu, Florence H. Vermeire, Brooke Jin, Travis Hart, Timothy Kulesza, Shih‐Cheng Li, Tommi Jaakkola, Regina Barzilay, Rafael Gómez‐Bombarelli, William H. Green, Klavs F. Jensen

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  9. A bridge between trust and control: computational workflows meet automated battery cycling

    Journal of Materials Chemistry A · 2024

    Peter Kraus, Edan Bainglass, Francisco Ramirez, Enea Svaluto‐Ferro, Loris Ercole, Benjamin Kunz, Sebastiaan P. Huber, Nukorn Plainpan, Nicola Marzari, Corsin Battaglia, Giovanni Pizzi

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  10. Advanced functional Cu–Cr–Co-NPs@gelatin (GLN)-hydroxyethyl cellulose (HEC) nanocomposites with antimicrobial and anticancer activities

    RSC Advances · 2024

    Mohamed Sayed Hasanin, Mohammad Reza Saeb, Mostafa A. Abdel-Maksoud, Mohamed A. El-Tayeb, Bushra Hafeez Kiani, Amr Hosny Hashem

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  11. AlabOS: a Python-based reconfigurable workflow management framework for autonomous laboratories

    Digital Discovery · 2024

    Yuxing Fei, Bernardus Rendy, Rishi E. Kumar, Olympia Dartsi, Hrushikesh P. Sahasrabuddhe, Matthew J. McDermott, Zheren Wang, Nathan J. Szymanski, Lauren N. Walters, David Milsted, Yan Zeng, Anubhav Jain, Gerbrand Ceder

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  12. An Affordable Platform for Automated Synthesis and Electrochemical Characterization

    SSRN Electronic Journal · 2024

    Sergio Pablo‐García, A. Garcı́a, Gun Deniz Akkoc, Malcolm Sim, Yang Cao, Maxine Somers, Chance Hattrick, Naruki Yoshikawa, Dominik Dworschak, Han Hao, Alán Aspuru‐Guzik

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  13. Automation and machine learning augmented by large language models in a catalysis study

    Chemical Science · 2024

    Yuming Su, Xue Wang, Yubo Ye, Yibo Xie, Yujing Xu, Yibin Jiang, Cheng Wang

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  14. Autonomous millimeter scale high throughput battery research system

    Digital Discovery · 2024

    Fuzhan Rahmanian, Stefan Fuchs, Bojing Zhang, Maximilian Fichtner, Helge Sören Stein

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  15. Bioinformatics software development: Principles and future directions

    The Innovation Life · 2024

    Xu-Kai Ma, Yan Yu, Tao Huang, Dake Zhang, Caihuan Tian, Wenli Tang, Ming Luo, Pu-Feng Du, Guangchuang Yu, Yang Li

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  16. Challenges and opportunities for AI in synthetic solid-state inorganic chemistry

    Matter · 2024

    Andrew Wang, Alán Aspuru‐Guzik, Geoffrey Alan Ozin

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  17. Digital chemistry: navigating the confluence of computation and experimentation – definition, status quo, and future perspective

    Digital Discovery · 2024

    Stefan Bräse

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  18. Heterogeneous catalysis for the environment

    The Innovation Materials · 2024

    Juan Liu, Rihana Burciaga, Selene Tang, Shichao Ding, Hongshun Ran, Wen Jie Zhao, Guangtao Wang, Zhengkai Zhuang, Liangyiqun Xie, Zhaoyuan Lyu, Yuehe Lin, Annie Du, Aihua Yuan, Jiaju Fu, Bing Song, Jiawei Zhu, Zhenyu Sun, Xin Jin, Zheng‐Yang Huo, Bo Shen, Meikun Shen, Yue Cao, Yang Zhou, Yujing Jiang, Dongdong Zhu, Meng Sun, Xuanhao Wu, Chu Qin, Zhifeng Jiang, Önder Metin, Charitha Jayaruk Thambiliyagodage, Jingjing Lv, Qing Li, Hao Wu, Zhiliang Wu, Jason Chun‐Ho Lam, Guandao Gao, Chao Li, Mingchuan Luo, Yi Jiang, Xue Wang, Junrui Li, Min Liu, Richen Lin, Hongqiang Ren, Buxing Han, Yaxuan Jing, Wenlei Zhu

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  19. Integration of a recyclable silver substrate for in situ surface-enhanced Raman spectroscopy in digital microfluidics

    Chemical Communications · 2024

    Sebastian Fehse, Anish Das, Detlev Belder

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

    Digital Discovery · 2024

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

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  21. Oxovanadium electronics for in-memory, neuromorphic, and quantum computing applications

    Materials Horizons · 2024

    Kirill Yu. Monakhov

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  22. PANDA: a self-driving lab for studying electrodeposited polymer films

    Materials Horizons · 2024

    Harley Quinn, Gregory A. Robben, Zhaoyi Zheng, Alan L. Gardner, Jörg G. Werner, Keith A. Brown

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  23. Review of low-cost self-driving laboratories in chemistry and materials science: the “frugal twin” concept

    Digital Discovery · 2024

    Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Nessa Carson, Ian T Foster, Andrés Aguilar‐Granda, Sergei V. Kalinin, Benji Maruyama, Maria Politi, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik

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  24. Scientific Discovery Framework Accelerating Advanced Polymeric Materials Design

    Research · 2024

    Ran Wang, Teng Fu, Yajie Yang, Xuan Song, Xiu‐Li Wang, Yu‐Zhong Wang

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  25. The Ethics of Materials Acceleration: A Conceptual Analysis of Sustainability, Labor, and Dual-Use Tensions

    Journal of Artificial Intelligence for Materials Science · 2024

    Claire Dupont, Julien Martin, Sophie Bernard

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  26. Toward Autonomous Materials Intelligence: A Human–AI–Physics Framework for Discovering, Optimizing, and Validating Next-Generation Materials

    Journal of Artificial Intelligence for Materials Science · 2024

    Yousef Al-Qahtani, Fahad Al-Salem, Abdullah Al-Harbi

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  27. Towards a science exocortex

    Digital Discovery · 2024

    Kevin G. Yager

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  28. What can molecular assembly learn from catalysed assembly in living organisms?

    Chemical Society Reviews · 2024

    Zhi‐Chao Lei, Xinchang Wang, Liulin Yang, Hang Qu, Yibin Sun, Yang Yang, Wei Li, Wenbin Zhang, Xiaoyu Cao, Chunhai Fan, Guohong Li, Jiarui Wu, Zhong‐Qun Tian

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  29. Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)

    ChemRxiv · 2024

    Fuzhan Rahmanian, Stefan Fuchs, Maximilian Fichtner, Helge Sören Stein

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  30. Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery

    Nature · 2024

    Simon Divilov, Hagen Eckert, David Hicks, Corey Oses, Cormac Toher, Rico Friedrich, Marco Esters, Michael J. Mehl, Adam C. Zettel, Yoav Lederer, Eva Zurek, Jon‐Paul Maria, Donald W. Brenner, Xiomara Campilongo, Suzana Filipović, William G. Fahrenholtz, Caillin J. Ryan, Christopher M. DeSalle, Ryan J. Crealese, Douglas E. Wolfe, Arrigo Calzolari, Stefano Curtarolo A

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  31. Automated Liquid Handler from a 3D Printer

    Journal of Chemical Education · 2024

    Alexey Kopyl, Yuki Yew, Jian Wern Ong, Thomas J. Hiscox, Calem Young, Murat Muradoglu, Tuck Wah Ng

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  32. Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)

    ChemRxiv · 2024

    Fuzhan Rahmanian, Stefan Fuchs, Maximilian Fichtner, Helge Sören Stein

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  33. Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation

    Next Materials · 2024

    Zhihao Xu, Sang‐Hyun Chin, Bo‐In Park, Yuan Meng, Sunok Kim, Sangmoon Han, Yimeng Li, Dong‐Hwan Kim, Beom-Soo Kim, Jin‐Wook Lee, Sang‐Hoon Bae

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  34. Autonomous millimeter scale high throughput battery research system (Auto-MISCHBARES)

    ChemRxiv · 2024

    Fuzhan Rahmanian, Stefan Fuchs, Bojing Zhang, Maximilian Fichtner, Helge Sören Stein

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  35. Self-driving laboratories to autonomously navigate the protein fitness landscape

    Nature Chemical Engineering · 2024

    Jacob T. Rapp, Bennett J. Bremer, Philip A. Romero

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

    Nature Communications · 2024

    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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  37. Metabolomics in the era of artificial intelligence

    Microbiota and Host · 2024

    Elizabeth Coler, Wanxuan Chen, Alexey V. Melnik, James T. Morton, Alexander A. Aksenov

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  38. Capturing Formulation Design of Battery Electrolytes with Chemical Large Language Model

    Research Square · 2024

    Eduardo Soares, Vidushi Sharma, Emílio Vital Brazil, Young-Hye Na, Renato Cerqueira

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  39. A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments

    npj Computational Materials · 2024

    Arpan Biswas, Yongtao Liu, Nicole Creange, Yuchen Liu, Stephen Jesse, Jan‐Chi Yang, Sergei V. Kalinin, Maxim A Ziatdinov, Rama Krishnan Vasudevan

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  40. Transforming research laboratories with connected digital twins

    Nexus · 2024

    Simon D. Rihm, Jiaru Bai, Aleksandar Kondinski, Sebastian Mosbach, Jethro Akroyd, Markus Kraft

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  41. On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform

    ACS Sensors · 2024

    Zhehong Ai, Longhan Zhang, Yangguan Chen, Yifan Long, Boyuan Li, Qingyu Dong, Yueming Wang, Jing Jiang

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  42. Performance metrics to unleash the power of self-driving labs in chemistry and materials science

    Nature Communications · 2024

    Amanda A. Volk, Milad Abolhasani

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  43. Roadmap on Data-Centric Materials Science

    ChemRxiv · 2024

    Matthias Scheffler

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  44. Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes

    ACS Sustainable Resource Management · 2024

    Milad Kamkar, Kevin C. Leonard, Ivet Ferrer, Say Chye Joachim Loo, Elizabeth J. Biddinger, Dean Brady, Danielle Julie Carrier, Nicholas Gathergood, Hongxian Han, Ive Hermans, King Kuok Hii, Bing‐Joe Hwang, Watson Loh, Michaël A. R. Meier, Andrew C. Marr, Graham N. Newton, Wil V. Srubar, Ning Yan, Kam Chiu Tam, Jingwen Chen, Audrey Moores, Bala Subramaniam, Peter Licence, Julio F. Serrano

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  45. Roadmap on Data-Centric Materials Science

    ChemRxiv · 2024

    Matthias Scheffler, Stefan Bauer, Peter Benner, Tristan Bereau, Volker Blüm, Mario Boley, Christian Carbogno, C. Richard A. Catlow, Gerhard Dehm, Sebastian Eibl, Ralph Ernstorfer, Ádám Fekete, Lucas Foppa, Peter Fratzl, Christoph Freysoldt, Baptiste Gault, Luca M. Ghiringhelli, Sajal Kumar Giri, Anton Gladyshev, Pawan Goyal, Jason R. Hattrick-Simpers, Lara Kabalan, Petr Karpov, Mohammad Sarkari Khorrami, Christoph T. Koch, Sebastian Kokott, Thomas Kosch, Igor Kowalec, Kurt Kremer, Andreas Leitherer, Yue Li, Christian H. Liebscher, Andrew James Logsdail, Zhongwei Lu, Phuc Luong, Andreas Marek A, Florian Merz, Jaber Rezaei Mianroodi, Jörg Neugebauer, Thomas A. R. Purcell, Dierk Raabe, Markus Rampp, Mariana Rossi, Jan Michael Rost, Ulf Saalmann, Alaukik Saxena, Luigi Sbailò, Markus Scheidgen, Marcel Schloz, Daniel Francis Schmidt, Simon Teshuva, Annette Trunschke, Ye Wei, Gerhard Weikum, Rui Patrick Xian, Yiyu Y. Yao, Meng Zhao

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  46. Traversing Chemical Space with Active Deep Learning: A Computational Framework for Low-data Drug Discovery

    ChemRxiv · 2024

    Derek van Tilborg, Francesca Grisoni

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  47. A Computational Perspective on the Reactivity of π‐spacers in Self‐Immolative Elimination Reactions

    Chemistry - An Asian Journal · 2024

    Daniele Padula

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  48. Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes

    ACS Sustainable Chemistry & Engineering · 2024

    Milad Kamkar, Kevin C. Leonard, Ivet Ferrer, Say Chye Joachim Loo, Elizabeth J. Biddinger, Dean Brady, Danielle Julie Carrier, Nicholas Gathergood, Hongxian Han, Ive Hermans, King Kuok Hii, Bing‐Joe Hwang, Watson Loh, Michaël A. R. Meier, Andrew C. Marr, Graham N. Newton, Wil V. Srubar, Ning Yan, Kam Chiu Tam, Jingwen Chen, Audrey Moores, Bala Subramaniam, Peter Licence, Julio F. Serrano

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  49. Transforming Academic Research: A Business Model for Chemical-Computational Laboratory

    TEM Journal · 2024

    Rafael A. Armijo-Silva

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  50. Autonomous reaction Pareto-front mapping with a self-driving catalysis laboratory

    Nature Chemical Engineering · 2024

    Jeffrey A. Bennett, Negin Orouji, M. Khan, S. Sadeghi, J. Rodgers, Milad Abolhasani

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