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Dinh-Nguyen Nguyen, Raymond Kai-Yu Tong and Ngoc-Duy Dinh

Digital Discovery, 2025
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Neural tanks-in-series: a physics-guided neural network extension of the tanks-in-series model for enhanced flow reactor and reaction modelling

Sebastian Knoll, Klara Silber, Christopher A. Hone, C. Oliver Kappe, Martin Steinberger and Martin Horn

React. Chem. Eng., 2025
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Automated electron microscopy sample preparation system

David Milsted, Tara P. Mishra, Lauren N. Walters, Yuxing Fei, Bernardus Rendy, Pragnay Nevatia, Haegyeom Kim and Gerbrand Ceder

Digital Discovery, 2025, 4, 2244
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Democratizing self-driving labs: advances in low-cost 3D printing for laboratory automation

Sayan Doloi, Maloy Das, Yujia Li, Zen Han Cho, Xingchi Xiao, John V. Hanna, Matthew Osvaldo and Leonard Ng Wei Tat

Digital Discovery, 2025, 4, 1685
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Measurements with noise: Bayesian optimization for co-optimizing noise and property discovery in automated experiments

Boris N. Slautin, Yu Liu, Jan Dec, Vladimir V. Shvartsman, Doru C. Lupascu, Maxim A. Ziatdinov and Sergei V. Kalinin

Digital Discovery, 2025, 4, 1066
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Physics-driven discovery and bandgap engineering of hybrid perovskites

Sheryl L. Sanchez, Elham Foadian, Maxim Ziatdinov, Jonghee Yang, Sergei V. Kalinin, Yongtao Liu and Mahshid Ahmadi

Digital Discovery, 2024, 3, 1577
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Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry

Austin M. Mroz, Annabel R. Basford, Friedrich Hastedt, Isuru Shavindra Jayasekera, Irea Mosquera-Lois, Ruby Sedgwick, Pedro J. Ballester, Joshua D. Bocarsly, Ehecatl Antonio del Río Chanona, Matthew L. Evans, Jarvist M. Frost, Alex M. Ganose, Rebecca L. Greenaway, King Kuok (Mimi) Hii, Yingzhen Li, Ruth Misener, Aron Walsh, Dandan Zhang and Kim E. Jelfs

Chem. Soc. Rev., 2025, 54, 5433
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AI and automation: democratizing automation and the evolution towards true AI-autonomous robotics

Lauren Takahashi, Mikael Kuwahara and Keisuke Takahashi

Chem. Sci., 2025, 16, 15769
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The Alchemist, the Scientist, and the Robot: Exploring the Potential of Human‐AI Symbiosis in Self‐Driving Polymer Laboratories

Bahar Dadfar, Berna Alemdag and Gözde Kabay

Macromol. Rapid Commun., 2025
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AI Approaches to Homogeneous Catalysis with Transition Metal Complexes

Lucía Morán-González, Arron L. Burnage, Ainara Nova and David Balcells

ACS Catal., 2025, 15, 9089
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MERMaid: Universal multimodal mining of chemical reactions from PDFs using vision-language models

Shi Xuan Leong, Sergio Pablo-García, Brandon Wong and Alán Aspuru-Guzik

Matter, 2025, 102331
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Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis

Christoph Scheurer and Karsten Reuter

Nat Catal, 2025, 8, 13
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Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories

Sina Sadeghi, Richard B. Canty, Nikolai Mukhin, Jinge Xu, Fernando Delgado-Licona and Milad Abolhasani

ACS Sustainable Chem. Eng., 2024, 12, 12695
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The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

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

adv. intell. discov., 2025
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The evolving role of programming and LLMs in the development of self-driving laboratories

John R. Kitchin

APL Machine Learning, 2025, 3
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From Sunlight to Solutions: Closing the Loop on Halide Perovskites

Elham Foadian, Sheryl Sanchez, Sergei V. Kalinin and Mahshid Ahmadi

ACS Mater. Au, 2025, 5, 11
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Learning the flow from the get-go

Mahshid Ahmadi and Sergei Kalinin

Nat Chem Eng, 2025, 2, 472
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Artificial intelligence for drug delivery: Yesterday, today and tomorrow

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

Acta Pharmaceutica Sinica B, 2025
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Integration of artificial intelligence and big data in materials science: New paradigms and scientific discoveries

Shuai Yang, Jianjun Liu, Fan Jin and Ying Lu

Chin. Sci. Bull., 2024, 69, 4730
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Advancing Rare-Earth (4f) and Actinide (5f) Separation through Machine Learning and Automated High-Throughput Experiments

Logan J. Augustine, Yufei Wang, Sara L. Adelman, Enrique R. Batista, Stosh A. Kozimor, Danny Perez, Joshua Schrier and Ping Yang

ACS Sustainable Chem. Eng., 2024, 12, 16692
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Synaptic coupling and synchronization for HR neural network developing a novel type II non-linear memristor, potential to neuromorphic application

Parnab Das, Nune Pratyusha, Santanu Mandal and Mousami Sanyal

Eur. Phys. J. Spec. Top., 2024
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Decoding the Broadband Emission of 2D Pb‐Sn Halide Perovskites through High‐Throughput Exploration

Elham Foadian, Jonghee Yang, Sumner B. Harris, Yipeng Tang, Christopher M. Rouleau, Syed Joy, Kenneth R. Graham, Benjamin J. Lawrie, Bin Hu and Mahshid Ahmadi

Adv Funct Materials, 2024, 34
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Research Trend Analysis in the Field of Self-Driving Labs Using Network Analysis and Topic Modeling

Woojun Jung, Insung Hwang and Keuntae Cho

Systems, 2025, 13, 253
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Accelerating the Discovery of Abiotic Vesicles with AI-Guided Automated Experimentation

Christelle Ekosso, Hao Liu, Avery Glagovich, Dustin Nguyen, Sarah Maurer and Joshua Schrier

Langmuir, 2025, 41, 858
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Harnessing synthetic biology for sustainable industrial innovation: Advances, challenges, and future direction

Emmanuel Chimeh Ezeako, Barine Innocent Nwiloh, Malachy Chigozie Odo and Vincent E. Ozougwu

Biochemical Engineering Journal, 2025, 221, 109777
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Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective

Youhyun Kim, Hayoung Doo, Daeun Shin, Seo Yoon Lee, Yugyeong Roh, Seongeun Park, Heejin Song, Yujin Jung, Hyuk Jun Yoo, Sang Soo Han, Jong Woo Kim, Maximilian O. Besenhard, Ye Seol Lee and Jonggeol Na

Computers & Chemical Engineering, 2025, 203, 109266
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Editor-in-the-loop: A perspective in the AI-driven science era

Steve Cranford

MRS Bulletin, 2025
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A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research

Lukas Nolte and Sven Tomforde

Applied Sciences, 2025, 15, 5208
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