Review Papers

Review Papers

Review papers for self-driving laboratories, sorted by publication date.

2023

• Role of AI in Experimental Materials Science. Abolhasani, M.; Brown, K. A.; Guest Editors. MRS Bulletin 2023.

• Next-Generation Intelligent Laboratories for Materials Design and Manufacturing. Peng, X.; Wang, X.; Brown, K. A.; Abolhasani, M. MRS Bulletin 2023.

• Toward Autonomous Laboratories: Convergence of Artificial Intelligence and Experimental Automation Xie, Y.; Sattari, K.; Zhang, C.; Lin, J. Progress in Materials Science 2023, 132, 101043.

• The Rise of Self-Driving Labs in Chemical and Materials Sciences. Abolhasani, M.; Kumacheva, E. Nat. Synth 2023, 1–10.

• The Digital Lab Framework as part of The World Avatar. Rihm, S. D.; Bai, J.; Kondinski, A.; Mosbach, S.; Akroyd, J.; Kraft, M. preprint 2023.

2022

• Research Acceleration in Self‐Driving Labs: Technological Roadmap toward Accelerated Materials and Molecular Discovery. Delgado-Licona, F.; Abolhasani, M. Advanced Intelligent Systems 2022, 2200331.

• Artificial Intelligence for Materials Research at Extremes. Maruyama, B.; Hattrick-Simpers, J.; Musinski, W.; Graham-Brady, L.; Li, K.; Hollenbach, J.; Singh, A.; Taheri, M. L. MRS Bulletin 2022, 47 (11), 1154–1164.

• Linking Scientific Instruments and Computation: Patterns, Technologies, and Experiences. Vescovi, R.; Chard, R.; Saint, N. D.; Blaiszik, B.; Pruyne, J.; Bicer, T.; Lavens, A.; Liu, Z.; Papka, M. E.; Narayanan, S.; Schwarz, N.; Chard, K.; Foster, I. T. Patterns 2022, 3 (10), 100606.

• Autonomous (AI-Driven) Materials Science. Green, M. L.; Maruyama, B.; Schrier, J. Applied Physics Reviews 2022, 9 (3), 030401.

• Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab. Seifrid, M.; Pollice, R.; Aguilar-Granda, A.; Morgan Chan, Z.; Hotta, K.; Ser, C. T.; Vestfrid, J.; Wu, T. C.; Aspuru-Guzik, A. Acc. Chem. Res. 2022, acs.accounts.2c00220.

• Cloud Labs: Where Robots Do the Research. Arnold, C. Nature 2022, 606 (7914), 612–613.

• Reaching Critical MASS: Crowdsourcing Designs for the next Generation of Materials Acceleration Platforms. Seifrid, M.; Hattrick-Simpers, J.; Aspuru-Guzik, A.; Kalil, T.; Cranford, S. Matter 2022, 5 (7), 1972–1976.

• Defining Levels of Automated Chemical Design. Goldman, B.; Kearnes, S.; Kramer, T.; Riley, P.; Walters, W. P. J. Med. Chem. 2022, 65 (10), 7073–7087.

• Toward Autonomous Materials Research: Recent Progress and Future Challenges. Montoya, J. H.; Aykol, M.; Anapolsky, A.; Gopal, C. B.; Herring, P. K.; Hummelshøj, J. S.; Hung, L.; Kwon, H.-K.; Schweigert, D.; Sun, S.; Suram, S. K.; Torrisi, S. B.; Trewartha, A.; Storey, B. D. Applied Physics Reviews 2022, 9 (1), 011405.

• From Platform to Knowledge Graph: Evolution of Laboratory Automation. Bai, J.; Cao, L.; Mosbach, S.; Akroyd, J.; Lapkin, A. A.; Kraft, K. JACS Au 2022, 2 (2), 292–309.

2021

• Enabling Modular Autonomous Feedback-Loops in Materials Science through Hierarchical Experimental Laboratory Automation and Orchestration. Rahmanian, F.; Flowers, J.; Guevarra, D.; Richter, M.; Fichtner, M.; Donnely, P.; Gregoire, J. M.; Stein, H. S. Advanced Materials Interfaces 2022, 9 (8), 2101987.

• Flexible Automation Accelerates Materials Discovery. MacLeod, B. P.; Parlane, F. G. L.; Brown, A. K.; Hein, J. E.; Berlinguette, C. P. Nat. Mater. 2021.

• Autonomous Experimentation Systems for Materials Development: A Community Perspective. Stach, E.; DeCost, B.; Kusne, A. G.; Hattrick-Simpers, J.; Brown, K. A.; Reyes, K. G.; Schrier, J.; Billinge, S.; Buonassisi, T.; Foster, I.; Gomes, C. P.; Gregoire, J. M.; Mehta, A.; Montoya, J.; Olivetti, E.; Park, C.; Rotenberg, E.; Saikin, S. K.; Smullin, S.; Stanev, V.; Maruyama, B. Matter 2021, 4 (9), 2702–2726.

• The Role of Machine Learning Algorithms in Materials Science: A State of Art Review on Industry 4.0. Choudhury, A. Arch Computat Methods Eng 2021, 28 (5), 3361–3381.

2020

• Autonomous Discovery in the Chemical Sciences Part II: Outlook. Coley, C. W.; Eyke, N. S.; Jensen, K. F. Angew. Chem. Int. Ed. 2020, 59 (52), 23414–23436.

• Autonomous Discovery in the Chemical Sciences Part I: Progress. Coley, C. W.; Eyke, N. S.; Jensen, K. F. Angew. Chem. Int. Ed. 2020, 59 (51), 22858–22893.

• Materials Acceleration Platforms: On the Way to Autonomous Experimentation. Flores-Leonar, M. M.; Mejía-Mendoza, L. M.; Aguilar-Granda, A.; Sanchez-Lengeling, B.; Tribukait, H.; Amador-Bedolla, C.; Aspuru-Guzik, A. Current Opinion in Green and Sustainable Chemistry 2020, 25, 100370.

2019

• A DIY Approach to Automating Your Lab. May, M. Nature 2019, 569 (7757), 587–588.

2017

• The Internet of Things Comes to the Lab. Perkel, J. M. Nature 2017, 542 (7639), 125–126.