Papers citing Materials Acceleration Platforms: On the way to autonomous experimentation
By how much can closed-loop frameworks accelerate computational materials discovery?
Digital Discovery · 2023
Lance Kavalsky, Vinay I. Hegde, Eric S. Muckley, Matthew S. Johnson, Bryce Meredig, Venkatasubramanian Viswanathan
Read original paper ↗ ·Development of Key Technologies for Intelligent Research and Development of New Materials
Strategic Study of CAE · 2023
Yanjing Su, Mingli Yang, Weili Zhu, Kechao Zhou, Dezhen Xue, Hong Wang, Jianxin Xie
Read original paper ↗ ·Orchestrating nimble experiments across interconnected labs
Digital Discovery · 2023
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 ↗ ·Phase stability studies on transition metal phosphates aided by an automated synthesis
CrystEngComm · 2023
Stephanos Karafiludis, Tom William Ryll, Ana Guilherme Buzanich, Franziska Emmerling, Tomasz Maciej Stawski
Read original paper ↗ ·Robotically automated 3D printing and testing of thermoplastic material specimens
Digital Discovery · 2023
Miguel Hernández‐del‐Valle, Christina Schenk, Lucía Echevarría-Pastrana, Burcu Özdemir, Enrique Dios-Lázaro, Jorge Ilarraza-Zuazo, De‐Yi Wang, Maciej Harańczyk
Read original paper ↗ ·The materials experiment knowledge graph
Digital Discovery · 2023
Michael J. Statt, Brian A. Rohr, Dan Guevarra, Ja'Nya Breeden, Santosh K. Suram, John M. Gregoire
Read original paper ↗ ·What is missing in autonomous discovery: open challenges for the community
Digital Discovery · 2023
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 ↗ ·Emerging Trends in Machine Learning: A Polymer Perspective
ACS Polymers Au · 2023
Tyler B. Martin, Debra J. Audus
Read original paper ↗ ·Machine learning and experiments: A synergy for the development of functional materials
MRS Bulletin · 2023
Bowen Zheng, Zeqing Jin, Grace Hu, Jimin Gu, Shao-Yi Yu, Jeong-Ho Lee, Grace X. Gu
Read original paper ↗ ·AutodiDAQt: Simple Scientific Data Acquisition Software with Analysis-in-the-Loop
Software · 2023
Conrad Stansbury, Alessandra Lanzara
Read original paper ↗ ·Machine Learning Identification of Organic Compounds Using Visible Light
The Journal of Physical Chemistry A · 2023
Thulasi Bikku, Rubén A. Fritz, Yamil J. Colón, Felipe Herrera
Read original paper ↗ ·Self-driving laboratories: A paradigm shift in nanomedicine development
Matter · 2023
Riley J. Hickman, Pauric Bannigan, Zeqing Bao, Alán Aspuru‐Guzik, Christine J. Allen
Read original paper ↗ ·Combinatorial synthesis for AI-driven materials discovery
Nature Synthesis · 2023
John M. Gregoire, Lan Zhou, Joel A. Haber
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 ↗ ·Designing materials acceleration platforms for heterogeneous CO2 photo(thermal)catalysis
Matter · 2023
Andrew Wang, Carlota Bozal‐Ginesta, Sai Govind Hari Kumar, Alán Aspuru‐Guzik, Geoffrey Alan Ozin
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 ↗ ·The role of machine learning in perovskite solar cell research
Journal of Alloys and Compounds · 2023
Chen Chen, Ayman Maqsood, T. Jesper Jacobsson
Read original paper ↗ ·Recommending Multiple Reaction Conditions UsingTwo-Stage Deep Neural Networks
ChemRxiv · 2023
Lung-Yi Chen, Yi‐Pei Li
Read original paper ↗ ·Brokering between tenants for an international materials acceleration platform
Matter · 2023
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 ↗ ·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 ↗ ·Closed-Loop Transfer Enables AI to Yield Chemical Knowledge
ChemRxiv · 2023
Nicholas H. Angello, David Friday, Changhyun Hwang, Seungjoo Yi, Austin Cheng, Tiara Torres-Flores, Edward R. Jira, Wesley Wang, Alán Aspuru‐Guzik, Martin D. Burke, Charles M. Schroeder, Ying Diao, Nicholas E. Jackson
Read original paper ↗ ·Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review
Energies · 2023
Sabina-Cristiana Necula
Read original paper ↗ ·Accelerated Characterization of Electrode‐Electrolyte Equilibration
ChemCatChem · 2023
Kevin Kan, Dan Guevarra, Lan Zhou, Ryan J. R. Jones, Yungchieh Lai, Matthias Hermann Richter, John M. Gregoire
Read original paper ↗ ·Efficient Analysis of Interdependencies in Electrode Manufacturing Through Joint Application of Design of Experiments and Explainable Machine Learning
Batteries & Supercaps · 2023
Sajedeh Haghi, Josef Keilhofer, Nico Schwarz, Pengdan He, Rüdiger Daub
Read original paper ↗ ·Event-driven data management with cloud computing for extensible materials acceleration platforms
Digital Discovery · 2023
Michael J. Statt, Brian A. Rohr, Dan Guevarra, Santosh K. Suram, John M. Gregoire
Read original paper ↗ ·Data-driven development of an oral lipid-based nanoparticle formulation of a hydrophobic drug
Drug Delivery and Translational Research · 2023
Zeqing Bao, Fion Yung, Riley J. Hickman, Alán Aspuru‐Guzik, Pauric Bannigan, Christine J. Allen
Read original paper ↗ ·Accelerated screening of carbon dioxide capture by liquid sorbents
Digital Discovery · 2024
Ryan J. R. Jones, Yungchieh Lai, Kevin Kan, Dan Guevarra, Joel A. Haber, Natalia Ramírez, Alessandra Zito, Clarabella J. Li, Jenny Y. Yang, Aaron M. Appel, John M. Gregoire
Read original paper ↗ ·Accelerated screening of gas diffusion electrodes for carbon dioxide reduction
Digital Discovery · 2024
Ryan J. R. Jones, Yungchieh Lai, Dan Guevarra, Kevin Kan, Joel A. Haber, John M. Gregoire
Read original paper ↗ ·ChemGymRL: A customizable interactive framework for reinforcement learning for digital chemistry
Digital Discovery · 2024
Chris Beeler, Sriram Ganapathi Subramanian, Kyle Sprague, Mark Baula, Nouha Chatti, Amanuel Dawit, Xinkai Li, Nicholas Paquin, Mitchell Shahen, Zihan Yang, Colin Bellinger, Mark Crowley, Isaac Tamblyn
Read original paper ↗ ·GLAS: an open-source easily expandable Git-based scheduling architecture for integral lab automation
Digital Discovery · 2024
Jean-Charles Cousty, Tanguy Cavagna, Alec Schmidt, Edy Mariano, Keyan Villat, Florian de Nanteuil, Pascal Miéville
Read original paper ↗ ·Pellet dispensomixer and pellet distributor: open hardware for nanocomposite space exploration via automated material compounding
Digital Discovery · 2024
Miguel Hernández‐del‐Valle, Jorge Ilarraza-Zuazo, Enrique Dios-Lázaro, Javier Rubio, Joris Audoux, Maciej Harańczyk
Read original paper ↗ ·PerQueue: managing complex and dynamic workflows
Digital Discovery · 2024
Benjamin Heckscher Sjølin, William Sandholt Hansen, Armando Antonio Morin-Martinez, Martin Hoffmann Petersen, Laura Rieger, Tejs Vegge, Juan María García-Lastra, Ivano E. Castelli
Read original paper ↗ ·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
Read original paper ↗ ·The future of self-driving laboratories: from human in the loop interactive AI to gamification
Digital Discovery · 2024
Holland E. Hysmith, Elham Foadian, Shakti P. Padhy, Sergei V. Kalinin, R. G. Moore, Olga S. Ovchinnikova, Mahshid Ahmadi
Read original paper ↗ ·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
Read original paper ↗ ·Enhancing chemical synthesis: a two-stage deep neural network for predicting feasible reaction conditions
Journal of Cheminformatics · 2024
Lung-Yi Chen, Yi‐Pei Li
Read original paper ↗ ·Sharing reproducible synthesis recipes
Nature Synthesis · 2024
Richard B. Canty, Klavs F. Jensen
Read original paper ↗ ·Designing workflows for materials characterization
Applied Physics Reviews · 2024
Sergei V. Kalinin, Maxim A Ziatdinov, Mahshid Ahmadi, Ayana Ghosh, Kevin M. Roccapriore, Yongtao Liu, Rama Krishnan Vasudevan
Read original paper ↗ ·The Future of Material Scientists in an Age of Artificial Intelligence
Advanced Science · 2024
Ayman Maqsood, Chen Chen, T. Jesper Jacobsson
Read original paper ↗ ·Machine intelligence-accelerated discovery of all-natural plastic substitutes
Nature Nanotechnology · 2024
Tianle Chen, Zhenqian Pang, Shuaiming He, Yang Li, Snehi Shrestha, Joshua M. Little, Haochen Yang, Tsai‐Chun Chung, Jiayue Sun, Hayden Christopher Whitley, I‐Chi Lee, Taylor J. Woehl, Teng Li, Liangbing Hu, Po‐Yen Chen
Read original paper ↗ ·Accelerated Materials Design and Materials Data Management at MCL
BHM Berg- und Hüttenmännische Monatshefte · 2024
Daniel Scheiber, Natalia Bedoya‐Martínez, Bernd Schuscha, Dominik Brandl, Lorenz Romaner, Jürgen Spitaler
Read original paper ↗ ·Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs
npj Computational Materials · 2024
Andre K. Y. Low, Flore Mekki‐Berrada, Abhishek Gupta, Aleksandr Ostudin, Jiaxun Xie, Eléonore Vissol-Gaudin, Yee‐Fun Lim, Qianxiao Li, Yew-Soon Ong, Saif A. Khan, Kedar Hippalgaonkar
Read original paper ↗ ·Modern Automation in Organic Synthesis Laboratories
Elsevier eBooks · 2024
Pascal Miéville, Florian de Nanteuil
Read original paper ↗ ·The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies
Globalization and Health · 2024
Renan Gonçalves Leonel da Silva
Read original paper ↗ ·Engineering a Sustainable Future: Harnessing Automation, Robotics, and Artificial Intelligence with Self-Driving Laboratories
ACS Sustainable Chemistry & Engineering · 2024
Sina Sadeghi, Richard B. Canty, Nikolai Mukhin, Jinge Xu, Fernando Delgado‐Licona, Milad Abolhasani
Read original paper ↗ ·FullProfAPP : a graphical user interface for the streamlined automation of powder diffraction data analysis
Journal of Applied Crystallography · 2024
Oier Arcelus, Juan Rodríguez-Carvajal, Nebil A. Katcho, Marine Reynaud, Ashley P. Black, Dimitrios Chatzogiannakis, Carlos Frontera, Jon Serrano‐Sevillano, Maha Ismail, Javier Carrasco, François Fauth, M. Rosa Palacín, Montse Casas‐Cabanas
Read original paper ↗ ·Closed-loop transfer enables artificial intelligence to yield chemical knowledge
Nature · 2024
Nicholas H. Angello, David Friday, Changhyun Hwang, Seungjoo Yi, Austin Cheng, Tiara Torres-Flores, Edward R. Jira, Wesley Wang, Alán Aspuru‐Guzik, Martin D. Burke, Charles M. Schroeder, Ying Diao, Nicholas E. Jackson
Read original paper ↗ ·Deep learning revealed statistics of the MgO particles dissolution rate in a CaO–Al2O3–SiO2–MgO slag
Scientific Reports · 2024
Fereshteh Falah Chamasemani, Florian Lenzhofer, Roland Brunner
Read original paper ↗ ·Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows
IEEE International Conference on eScience · 2024
Bogdan Nicolae, Justin M. Wozniak, Tekin Biçer, Hai Nguyen, Parth Patel, Haochen Pan, Amal Gueroudji, Maxime Gonthier, Valérie Hayot‐Sasson, Eliu A. Huerta, Kyle Chard, Ryan Chard, Matthieu Dorier, Nageswara S. V. Rao, Anees Al‐Najjar, Alessandra Corsi, Ian T Foster
Read original paper ↗ ·Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization
Manufacturing Letters · 2024
Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das, Imtiaz Ahmed
Read original paper ↗ ·