Papers citing Autonomous experimentation systems for materials development: A community perspective
Deep learning for electron and scanning probe microscopy: From materials design to atomic fabrication
MRS Bulletin · 2022-09-01
Sergei V. Kalinin, Maxim A Ziatdinov, Steven R. Spurgeon, Colin Ophus, Eric A. Stach, Toma Susi, Josh C. Agar, John N. Randall
Read original paper ↗ ·The LEGOLAS Kit: A low-cost robot science kit for education with symbolic regression for hypothesis discovery and validation
MRS Bulletin · 2022-09-01
Logan Saar, Haotong Liang, Alex Y. Wang, Austin McDannald, Efrain E. Rodriguez, Ichiro Takeuchi, Aaron Gilad Kusne
Read original paper ↗ ·Brokering between tenants for an international materials acceleration platform
ChemRxiv · 2022-09-06
Monika Vogler, Jonas Busk, Hamidreza Hajiyani, Peter Bjørn Jørgensen, Nehzat Safaei, Ivano E. Castelli, Francisco Ramirez, Johan Martin Carlsson, Giovanni Pizzi, Simon Clark, Felix Hanke, Arghya Bhowmik, Helge Sören Stein
Read original paper ↗ ·Scanning probes as a materials automation platform with extremely miniaturized samples
Matter · 2022-10-01
Keith A. Brown
Read original paper ↗ ·Robotic Powder Grinding with a Soft Jig for Laboratory Automation in Material Science
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2022-10-23
Yusaku Nakajima, Masashi Hamaya, Yuta Suzuki, Takafumi Hawai, Felix von Drigalski, Kazutoshi Tanaka, Yoshitaka Ushiku, Kanta Ono
Read original paper ↗ ·A perspective on Bayesian methods applied to materials discovery and design
MRS Communications · 2022-10-26
Raymundo Arróyave, Danial Khatamsaz, Brent Vela, Richard Couperthwaite, Abhilash Molkeri, Prashant Kumar Singh, Duane D. Johnson, Xiaoning Qian, Ankit Srivastava, Douglas Allaire
Read original paper ↗ ·Networks and interfaces as catalysts for polymer materials innovation
Cell Reports Physical Science · 2022-10-27
Michael E. Deagen, Dylan J. Walsh, Debra J. Audus, Kenneth Kroenlein, Juan Pablo, Kaoru Aou, Kyle Chard, Klavs F. Jensen, Bradley D. Olsen
Read original paper ↗ ·A Framework for the Optimal Selection of High-Throughput Data Collection Workflows by Autonomous Experimentation Systems
Integrating materials and manufacturing innovation · 2022-10-31
Rohan Casukhela, Sriram Vijayan, Joerg Ralf Jinschek, Stephen R. Niezgoda
Read original paper ↗ ·Artificial intelligence for materials research at extremes
MRS Bulletin · 2022-11-01
Benji Maruyama, Jason R. Hattrick-Simpers, William D. Musinski, Lori L. Graham-Brady, Kang Li, Jonathan D. Hollenbach, A. Singh, Mitra L. Taheri
Read original paper ↗ ·Delivering real-time multi-modal materials analysis with enterprise beamlines
Cell Reports Physical Science · 2022-11-01
Phillip M. Maffettone, Stuart I. Campbell, Marcus D. Hanwell, Stuart B. Wilkins, Daniel Olds
Read original paper ↗ ·Materials for extreme environments
Nature Reviews Materials · 2022-11-09
Suhas Eswarappa Prameela, Tresa M. Pollock, Dierk Raabe, Marc André Meyers, Assel Aitkaliyeva, Kerri-lee A. Chintersingh, Zachary C. Cordero, Lori L. Graham-Brady
Read original paper ↗ ·Structural element shaping on a plate in the manufacture of a hybrid product from aluminum alloy using WAAM technology
The International Journal of Advanced Manufacturing Technology · 2022-11-10
Nikolay Nikolaevich Dovzhenko, Aleksandr Igorevich Demchenko, Andrey Alekseevich Bezrukikh, Kirill Sergeevich Zhuchenko, Ivan Nikolaevich Dovzhenko, Денис Сергеевич Ворошилов, Irina Sergeevna Dementeva
Read original paper ↗ ·Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Progress in Materials Science · 2022-11-11
Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin
Read original paper ↗ ·High-Throughput Electrochemistry to Study Materials Degradation in Extreme Environments
Analytical Chemistry · 2022-11-24
Yafei Wang, Bonita Goh, Michael J. Moorehead, Jason R. Hattrick-Simpers, Adrien Couet
Read original paper ↗ ·A catalyst acceleration platform toward realizing the energy transition
Matter · 2022-12-01
Marcus Tze‐Kiat Ng, Ahmed S.M. Ismail, Alexander J. S. Hammer
Read original paper ↗ ·What is a minimal working example for a self-driving laboratory?
Matter · 2022-12-01
Sterling G. Baird, Taylor D. Sparks
Read original paper ↗ ·Forecasting of in situ electron energy loss spectroscopy
npj Computational Materials · 2022-12-12
Nicholas R. Lewis, Yicheng Jin, Xiuyu Tang, Vidit Shah, Christina Doty, Bethany E. Matthews, Sarah M. Akers, Steven R. Spurgeon
Read original paper ↗ ·Machine Intelligence-Centered System for Automated Characterization of Functional Materials and Interfaces
ACS Applied Materials & Interfaces · 2022-12-28
Eric S. Muckley, Rama Krishnan Vasudevan, Bobby G. Sumpter, Rigoberto C. Advíncula, Ilia N. Ivanov
Read original paper ↗ ·Advanced supramolecular design for direct ink writing of soft materials
Chemical Society Reviews · 2023-01-01
Miao Tang, Zhuoran Zhong, Chenfeng Ke
Read original paper ↗ ·An open-source environmental chamber for materials-stability testing using an optical proxy
Digital Discovery · 2023-01-01
Rodolfo Keesey, Armi Tiihonen, Alexander E. Siemenn, Thomas William Colburn, Shijing Sun, Noor Titan Putri Hartono, James Serdy, Margaret Zeile, He Keqing, Cole A. Gurtner, Austin C. Flick, Clio Batali, Alex Encinas, Richa R. Naik, Zhe Liu, Felipe Oviedo, Ian Marius Peters, Janak Thapa, Siyu Isaac Parker Tian, Reinhold Horst Dauskardt, Alexander J. Norquist, Tonio Buonassisi
Read original paper ↗ ·Bayesian optimisation for efficient material discovery: a mini review
Nanoscale · 2023-01-01
Yimeng Jin, Priyank V. Kumar
Read original paper ↗ ·By how much can closed-loop frameworks accelerate computational materials discovery?
Digital Discovery · 2023-01-01
Lance Kavalsky, Vinay I. Hegde, Eric S. Muckley, Matthew S. Johnson, Bryce Meredig, Venkatasubramanian Viswanathan
Read original paper ↗ ·Computational and Data-Driven Materials Engineering: High-Throughput Computational Screening Platforms, Workflows, and Discovery Outcomes
Journal of Computational and Data-Driven Materials Engineering · 2023-01-01
Hiroshi Nakamura, Yuta Kato
Read original paper ↗ ·Domain-specific chatbots for science using embeddings
Digital Discovery · 2023-01-01
Kevin G. Yager
Read original paper ↗ ·Driving school for self-driving labs
Digital Discovery · 2023-01-01
Kelsey L. Snapp, Keith A. Brown
Read original paper ↗ ·Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization
Reaction Chemistry & Engineering · 2023-01-01
Riley J. Hickman, Jurğis Ruža, Hermann Tribukait, Loı̈c M. Roch, Alberto García-Durán
Read original paper ↗ ·Human-in-The-Loop for Bayesian Autonomous Materials Phase Mapping
SSRN Electronic Journal · 2023-01-01
Felix Adams, Austin McDannald, Ichiro Takeuchi, Aaron Gilad Kusne
Read original paper ↗ ·Integrating autonomy into automated research platforms
Digital Discovery · 2023-01-01
Richard B. Canty, Brent A. Koscher, Matthew A. McDonald, Klavs F. Jensen
Read original paper ↗ ·Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations
Digital Discovery · 2023-01-01
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, Cory M. Simon
Read original paper ↗ ·Multimodal, Physics-Informed Machine Learning for Accelerated Materials Design and Discovery
Journal of Computational and Data-Driven Materials Engineering · 2023-01-01
Lucas Meyer, Stefan Braun, Anna Schmid, David Keller
Read original paper ↗ ·Orchestrating nimble experiments across interconnected labs
Digital Discovery · 2023-01-01
Dan Guevarra, Kevin Kan, Yungchieh Lai, Ryan J. R. Jones, Lan Zhou, Phillip Donnelly, Matthias Hermann Richter, Helge Sören Stein, John M. Gregoire
Read original paper ↗ ·Realizing the cooking recipe of materials synthesis through large language models
Journal of Materials Chemistry A · 2023-01-01
Jaydeep Thik, Siwen Wang, Chuhong Wang, Hadi Mansourifar, Honghong Lin, Keiichi Okubo, Chen Ling
Read original paper ↗ ·Screening for electrically conductive defects in thin functional films using electrochemiluminescence
Analytical Methods · 2023-01-01
Harley Quinn, Wenlu Wang, Jörg G. Werner, Keith A. Brown
Read original paper ↗ ·Simulation Priors in Machine Learning Materials Models: Hidden Physics Assumptions
Journal of Computational and Data-Driven Materials Engineering · 2023-01-01
Ahmed Mansour, Omar Saeed
Read original paper ↗ ·The materials experiment knowledge graph
Digital Discovery · 2023-01-01
Michael J. Statt, Brian A. Rohr, Dan Guevarra, Ja'Nya Breeden, Santosh K. Suram, John M. Gregoire
Read original paper ↗ ·The rise of automated curiosity-driven discoveries in chemistry
Chemical Science · 2023-01-01
Latimah Bustillo, Teodoro Laino, Tiago Rodrigues
Read original paper ↗ ·Towards a modular architecture for science factories
Digital Discovery · 2023-01-01
Rafael Vescovi, Tobias S. Ginsburg, Kyle Hippe, Doga Ozgulbas, Casey Stone, Abraham Stroka, Rory Butler, Ben J. Blaiszik, Tom Brettin, Kyle Chard, Mark Hereld, Arvind Ramanathan, Rick L. Stevens, Aikaterini Vriza, Jie Xu, Qingteng Zhang, Ian T Foster
Read original paper ↗ ·Towards Pareto optimal high entropy hydrides via data-driven materials discovery
Journal of Materials Chemistry A · 2023-01-01
Matthew David Witman, Sanliang Ling, Matthew D. Wadge, Anis Bouzidi, Nayely Pineda-Romero, Rebecca Clulow, Gustav Ek, Jeffery M. Chames, Emily J. Allendorf, Sapan Agarwal, Mark D. Allendorf, Gavin S. Walker, David M. Grant, Martin Sahlberg, Claudia Zlotea, Vitalie Stavila
Read original paper ↗ ·What is missing in autonomous discovery: open challenges for the community
Digital Discovery · 2023-01-01
Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben J. Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion Cohen, Rebecca L. Davis, Ian T Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun
Read original paper ↗ ·Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence
Expert Opinion on Drug Delivery · 2023-01-16
Jonathan Zaslavsky, Pauric Bannigan, Christine J. Allen
Read original paper ↗ ·Emerging Trends in Machine Learning: A Polymer Perspective
ACS Polymers Au · 2023-01-18
Tyler B. Martin, Debra J. Audus
Read original paper ↗ ·Globus automation services: Research process automation across the space–time continuum
Future Generation Computer Systems · 2023-01-18
Ryan Chard, Jim Pruyne, Kurt Mckee, Josh Bryan, Brigitte E. Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T Foster
Read original paper ↗ ·Perspective: Machine learning in experimental solid mechanics
Journal of the Mechanics and Physics of Solids · 2023-01-30
Neal R. Brodnik, Caelin Muir, Nikhil Tulshibagwale, Jeff Rossin, McLean P. Echlin, Craig M. Hamel, Sharlotte Kramer, Tresa M. Pollock, James Doug Kiser, Christian W. Smith, Samantha Hayes Daly
Read original paper ↗ ·Mathematical nuances of Gaussian process-driven autonomous experimentation
MRS Bulletin · 2023-02-01
Marcus M. Noack, Kristofer G. Reyes
Read original paper ↗ ·Next-generation intelligent laboratories for materials design and manufacturing
MRS Bulletin · 2023-02-01
Xiting Peng, Xiaonan Wang
Read original paper ↗ ·Role of AI in experimental materials science
MRS Bulletin · 2023-02-01
Milad Abolhasani, Keith A. Brown, Guest Editors
Read original paper ↗ ·Advances in machine learning-aided design of reinforced polymer composite and hybrid material systems
Hybrid Advances · 2023-02-04
Christian Emeka Okafor, Sunday Iweriolor, Okwuchukwu Innocent Ani, Shahnawaz Ahmad, Shabana Mehfuz, Godspower Onyekachukwu Ekwueme, Okechukwu Emmanuel Chukwumuanya, Sylvester Emeka Abonyi, Ignatius Echezona Ekengwu, Peter Okechukwu Chikelu
Read original paper ↗ ·Autonomous and online detection of dry areas on a boiling surface using deep learning and infrared thermometry
Experimental Thermal and Fluid Science · 2023-02-22
Madhumitha Ravichandran, Artyom Kossolapov, Gustavo Aguiar, Bren Phillips, Matteo Bucci
Read original paper ↗ ·Automated phase segmentation and quantification of high-resolution TEM image for alloy design
Materials Characterization · 2023-03-06
Sen Liu, Behnam Amin-Ahmadi, Rui Liu, Qiaojie Zheng, Xiaoli Zhang
Read original paper ↗ ·Self-driving laboratories: A paradigm shift in nanomedicine development
Matter · 2023-03-08
Riley J. Hickman, Pauric Bannigan, Zeqing Bao, Alán Aspuru‐Guzik, Christine J. Allen
Read original paper ↗ ·