Papers citing Autonomous experimentation systems for materials development: A community perspective
Combinatorial synthesis for AI-driven materials discovery
Nature Synthesis · 2023
John M. Gregoire, Lan Zhou, Joel A. Haber
Read original paper ↗ ·AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning
Nature Communications · 2023
Amanda A. Volk, Robert W. Epps, Daniel T. Yonemoto, Benjamin S. Masters, Felix N. Castellano, Kristofer G. Reyes, Milad Abolhasani
Read original paper ↗ ·Accelerated Design of Architected Materials with Multifidelity Bayesian Optimization
Journal of Engineering Mechanics · 2023
Chengyang Mo, Paris G. Perdikaris, Jordan R. Raney
Read original paper ↗ ·Autonomous experimental systems in materials science
Science and Technology of Advanced Materials Methods · 2023
Naoya Ishizuki, Ryota Shimizu, Taro Hitosugi
Read original paper ↗ ·Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean
APL Machine Learning · 2023
Yuki K. Wakabayashi, Takuma Otsuka, Yoshiharu Krockenberger, Hiroshi Sawada, Yoshitaka Taniyasu, Hideki Yamamoto
Read original paper ↗ ·A critical examination of robustness and generalizability of machine learning prediction of materials properties
npj Computational Materials · 2023
Kangming Li, Brian DeCost, Kamal Kumar Choudhary, Michael Greenwood, Jason R. Hattrick-Simpers
Read original paper ↗ ·ET-AL: Entropy-targeted active learning for bias mitigation in materials data
Applied Physics Reviews · 2023
James M. Rondinelli, Wei Chen
Read original paper ↗ ·Scalable multi-agent lab framework for lab optimization
Matter · 2023
Aaron Gilad Kusne, Austin McDannald
Read original paper ↗ ·Materials Informatics Tools in the Context of Bio-Inspired Material Mechanics
Journal of Applied Mechanics · 2023
Rachel K. Luu, Markus J. Buehler
Read original paper ↗ ·Statistical and machine learning-based durability-testing strategies for energy storage
Joule · 2023
Stephen J. Harris, Marcus M. Noack
Read original paper ↗ ·Physics-Informed Bayesian learning of electrohydrodynamic polymer jet printing dynamics
Communications Engineering · 2023
Athanasios Oikonomou, Θεόδωρος Λούτας, Dixia Fan, Alysia Garmulewicz, George Nounesis, Santanu Chaudhuri, Filippos Tourlomousis
Read original paper ↗ ·Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops
Venue not supplied by source · 2023
Jonathan T. Carter, John Feddema, D.B. Kothe, Rob Neely, J Pruet, Rick L. Stevens, Prasanna Balaprakash, Pete Beckman, Ian T Foster, Kamil A. Iskra, Arvind Ramanathan, Valerie Taylor, Rajeev Thakur, D. Agarwal, Silvia N. Crivelli, Bert de Jong, Damian W. I. Rouson, Mike Sohn, Michael Wetter, Stefan M. Wild, Peer‐Timo Bremer, Michael Goldman, Ana Kupresanin, Luc Peterson, B. K. Spears, Dave Stevens, Brian Van Essen, Russell W. Bent, M.J. Grosskopf, Earl Lawrence, Galen M Shipman, Kelly Rose, Ray Grout, Nicholson Kouakpaizan, Olufemi A. Omitaomu, Slaven Peleš, Pradeep Ramuhalli, Mallikarjun Shankar, David E. Womble, Guannan Zhang, Tommie Catanach, Ron A. Oldfield, Sivasankaran Rajamanickam, Jaideep Ray, Mary Ann Leung, Charles E. Catlett, Emily M. Dietrich
Read original paper ↗ ·Machine learning for materials science: Barriers to broader adoption
Matter · 2023
Brad L. Boyce, Rémi Dingreville, Saaketh Desai, Elise Walker, Troy Shilt, Kimberly L. Bassett, Ryan R. Wixom, Aaron P. Stebner, Raymundo Arróyave, Jason R. Hattrick-Simpers, James A. Warren
Read original paper ↗ ·Autonomous x-ray scattering
Nanotechnology · 2023
Kevin G. Yager, Pawel W Majewski, Marcus M. Noack, Masafumi Fukuto
Read original paper ↗ ·Tuning Bayesian optimization for materials synthesis: simulating two- and three-dimensional cases
Science and Technology of Advanced Materials Methods · 2023
Han Xu, Ryo Nakayama, Takefumi Kimura, Ryota Shimizu, Yasunobu Ando, Shigeru Kobayashi, Nobuaki Yasuo, Masakazu Sekijima, Taro Hitosugi
Read original paper ↗ ·Data Processing and Machine Learning
Venue not supplied by source · 2023
Renu Sharma
Read original paper ↗ ·Future Vision
Venue not supplied by source · 2023
Renu Sharma
Read original paper ↗ ·Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science
ChemRxiv · 2023
Riley J. Hickman, Priyansh Parakh, Austin Cheng, Qianxiang Ai, Joshua Schrier, Matteo Aldeghi, Alán Aspuru‐Guzik
Read original paper ↗ ·Achieving Digital Catalysis: Strategies for Data Acquisition, Storage and Use
Angewandte Chemie International Edition · 2023
Clara Patricia Marshall, Julia Schumann, Annette Trunschke
Read original paper ↗ ·Achieving Digital Catalysis: Strategies for Data Acquisition, Storage and Use
Angewandte Chemie · 2023
Clara Patricia Marshall, Julia Schumann, Annette Trunschke
Read original paper ↗ ·Materials research in artificial intelligence era
Material Science & Engineering International Journal · 2023
Jinwu Kang
Read original paper ↗ ·Transforming characterization data into information in the case of perovskite solar cells
Journal of Physics Energy · 2023
Thomas Kirchartz, Basita Das
Read original paper ↗ ·Autonomous sputter synthesis of thin film nitrides with composition controlled by Bayesian optimization of optical plasma emission
APL Materials · 2023
Davi Fébba, Kevin R. Talley, Kendal Johnson, Stephen T. Schaefer, Sage R. Bauers, John S. Mangum, Rebecca W. Smaha, Andriy Zakutayev
Read original paper ↗ ·Using 3D printing as a research tool for materials discovery
Device · 2023
Ronald A. Smaldone, Keith A. Brown, Grace X. Gu, Chenfeng Ke
Read original paper ↗ ·The Power of Automation in Polymer Chemistry: Precision Synthesis of Multiblock Copolymers with Block Sequence Control
Chemistry - A European Journal · 2023
Vianna F. Jafari, Zahra Mossayebi, Stephanie Allison‐Logan, Sadegh Shabani, Greg GuangHua Qiao
Read original paper ↗ ·CRESt – Copilot for Real-world Experimental Scientist
ChemRxiv · 2023
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
Read original paper ↗ ·Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
Applied Mechanics Reviews · 2023
Hanxun Jin, Enrui Zhang, Horacio Dante Espinosa
Read original paper ↗ ·A hybrid metaheuristic and computer vision approach to closed-loop calibration of fused deposition modeling 3D printers
Progress in Additive Manufacturing · 2023
Graig S. Ganitano, Shay Goff Wallace, Benji Maruyama, Gilbert L. Peterson
Read original paper ↗ ·Autonomous experiments using active learning and AI
Nature Reviews Materials · 2023
Zhichu Ren, Zekun Ren, Zhen Zhang, Tonio Buonassisi, Ju Li
Read original paper ↗ ·Photocatalytic CO2 reduction
Nature Reviews Methods Primers · 2023
Siyuan Fang, Motiar Rahaman, Jaya Bharti, Erwin Reisner, Marc Robert, Geoffrey A. Ozin, Yun Hang Hu
Read original paper ↗ ·A Modern Twist on an Old Measurement: Using Laboratory Automation and Data Science to Determine the Solubility Product of Lead Iodide
Journal of Chemical Education · 2023
Alexander J. Norquist, Gabriel Jones-Thomson, Keqing He, Thomas Egg, Joshua Schrier
Read original paper ↗ ·Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques
Advanced Energy and Sustainability Research · 2023
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, Ruy S. Bonilla, Richard Abrams, Ahmed Zoha, Sajjad Hussain, Rami Ghannam
Read original paper ↗ ·Innovative Strategies for Integrating Technology into Agricultural Programmes at Technical and Vocational Colleges
International Journal of Learning Teaching and Educational Research · 2023
Ramongwane Daniel Sephokgole, Moses Makgato, Sammy Khoza
Read original paper ↗ ·Unleashing the Power of Artificial Intelligence in Materials Design
Materials · 2023
Silvia Badini, Stefano Regondi, Raffaele Pugliese
Read original paper ↗ ·Autonomous Exploration of an Unexpected Electrode Material for Lithium Batteries
ACS Materials Letters · 2023
Shigeru Kobayashi, Ryota Shimizu, Yasunobu Ando, Taro Hitosugi
Read original paper ↗ ·Review of Low-cost Self-driving Laboratories: The "Frugal Twin" Concept
ChemRxiv · 2023
Stanley Lo, Sterling G. Baird, Joshua Schrier, Ben J. Blaiszik, Sergei V. Kalinin, Helen Tran, Taylor D. Sparks, Alán Aspuru‐Guzik
Read original paper ↗ ·Leveraging Interpretable Features and Clustering Agreements for Assistive Materials Discovery
International Conference on Transdisciplinary AI (TransAI) · 2023
Maria Alexandra Theodorescu, Jacob David Furst, Daniela Stan Raicu, Roselyne Tchoua
Read original paper ↗ ·In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Journal of the American Chemical Society · 2023
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch
Read original paper ↗ ·Revolutionizing drug formulation development: The increasing impact of machine learning
Advanced Drug Delivery Reviews · 2023
Zeqing Bao, Jack Bufton, Riley J. Hickman, Alán Aspuru‐Guzik, Pauric Bannigan, Christine J. Allen
Read original paper ↗ ·Robotic Powder Grinding with Audio-Visual Feedback for Laboratory Automation in Materials Science
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2023
Yusaku Nakajima, Masashi Hamaya, Kazutoshi Tanaka, Takafumi Hawai, Felix von Drigalski, Yasuo Takeichi, Yoshitaka Ushiku, Kanta Ono
Read original paper ↗ ·Closed-loop superconducting materials discovery
npj Computational Materials · 2023
Elizabeth A. Pogue, Alexander New, K. McElroy, Nam Q. Le, Michael J. Pekala, Ian McCue, Edwin B. Gienger, Janna Domenico, Elizabeth Hedrick, Tyrel M. McQueen, Brandon Wilfong, Christine Piatko, Christopher R. Ratto, Andrew M. Lennon, Christine Chung, Timothy J. Montalbano, Gregory Bassen, Christopher D. Stiles
Read original paper ↗ ·CRESt – Copilot for Real-world Experimental Scientist
ChemRxiv · 2023
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
Read original paper ↗ ·CRESt – Copilot for Real-world Experimental Scientist
ChemRxiv · 2023
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
Read original paper ↗ ·Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Proceedings of the National Academy of Sciences · 2023
Jie Chen, Hengrui Zhang, Carolin B. Wahl, Wei Liu, Chad Alexander Mirkin, Vinayak P. Dravid, Daniel W. Apley, Wei Chen
Read original paper ↗ ·Exploiting redundancy in large materials datasets for efficient machine learning with less data
Nature Communications · 2023
Kangming Li, Daniel Persaud, Kamal Kumar Choudhary, Brian DeCost, Michael Greenwood, Jason R. Hattrick-Simpers
Read original paper ↗ ·Exploring Benchmarks for Self-Driving Labs using Color Matching
Venue not supplied by source · 2023
Tobias S. Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T Foster
Read original paper ↗ ·CRESt – Copilot for Real-world Experimental Scientist
ChemRxiv · 2023
Zhichu Ren, Zhen Zhang, Yunsheng Tian, Ju Li
Read original paper ↗ ·Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap
Machine Learning Science and Technology · 2023
Ryan M. Jacobs, Philip E. Goins, Dane D. Morgan
Read original paper ↗ ·Accelerated chemical science with AI
Digital Discovery · 2023
Seoin Back, Alán Aspuru‐Guzik, Michele Ceriotti, Ganna Gryn’ova, Bartosz A. Grzybowski, Geun Ho Gu, Jason E. Hein, Kedar Hippalgaonkar, Rodrigo Hormázabal, Yousung Jung, Seonah Kim, Woo Youn Kim, Seyed Mohamad Moosavi, Juhwan Noh, Chang-Young Park, Joshua Schrier, Philippe Schwaller, Koji Tsuda, Tejs Vegge, O. Anatole von Lilienfeld, Aron Walsh
Read original paper ↗ ·Diversifying self-assembled phases in block copolymer thin films via blending
Physical Review Materials · 2023
Gregory S. Doerk, Kevin G. Yager
Read original paper ↗ ·