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RESEARCH PAPER · Digital Discovery · 2024

Autonomous robotic experimentation system for powder X-ray diffraction

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19 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Autonomous robotic experimentation system for powder X-ray diffractionOriginalSelf-driving laboratories in Japan13Autonomous Robotic Experiments for Powder X-ray Diffraction0Unlocking a self-driving research workflow for perovskite photovoltaics12AI-driven new materials development and data standardization4Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective14A quantitative criterion for evidencing predicted compounds in high-throughput powder X-ray diffraction data: Illustration with half-antiperovskite0Advancements in nanotechnology for sunscreens: Preparation, characterization, and mechanisms of UV protection7A Review of Synthesis, Characterization, Properties, and Applications of Double Perovskite Oxides16Computer vision for high-throughput materials synthesis: a tutorial for experimentalists6Closed-loop robotic manipulation of transparent substrates for self-driving laboratories using deep learning micro-error correction0Orchestration of heterogeneous experimental machines via ROS2 for automated bulk intermetallic synthesis2Dara: Automated Multiple-Hypothesis Phase Identification and Refinement from Powder X-ray Diffraction6Accelerated drug development using a digital formulator and a self-driving tableting data factory6SPACESHIP: Autonomous Mapping of Hardware-Dependent Synthesizable Space in Solution-Phase Gold Nanomaterials0Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization0Autonomous closed-loop optimization for MAX-phase synthesis via image-based quality evaluation and sequence learning1Closed-Loop Machine Learning in Materials Discovery: From Predict-Validate-Update Paradigms to Autonomous Ecosystems0Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework0New Frontiers in Single-Atom Catalysis: Active-Site Dynamics and AI-Enabled Design1

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19 direct citing papers saved.

  1. Self-driving laboratories in Japan

    Digital Discovery · 2025-01-01

    Naruki Yoshikawa, Yuki Asano, Don Norimi Futaba, Kanako Harada, Taro Hitosugi, Genki N. Kanda, Shôichi Matsuda, Yuuya Nagata, Keisuke Nagato, Masanobu Naito, Tohru Natsume, Kazunori Nishio, Kanta Ono, Haruka Ozaki, Woosuck Shin, Junichiro Shiomi, Kunihiko Shizume, Koichi Takahashi, Seiji Takeda, Ichiro Takeuchi, Ryo Tamura, Koji Tsuda, Yoshitaka Ushiku

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  2. Autonomous Robotic Experiments for Powder X-ray Diffraction

    Vacuum and Surface Science · 2025-02-09

    Yuto YOTSUMOTO, Kanta Ono

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  3. Unlocking a self-driving research workflow for perovskite photovoltaics

    Matter · 2025-06-01

    Lifang Xie, Yalan Zhang, Noah Peterkes, Xiao‐Fen Li, Yike Guo, Yuanyuan Zhou

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  4. AI-driven new materials development and data standardization

    Chinese Science Bulletin (Chinese Version) · 2025-07-01

    Lanting Zhang, Mingyang Liu, Hongjian Yuan, Hong Wang

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  5. Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective

    Computers & Chemical Engineering · 2025-07-26

    You-Hyun Kim, Hayoung Doo, Daeun Shin, Seo Yoon Lee, Seo Yoon Lee, Yugyeong Roh, Seong‐Eun Park, Heejin Song, Yujin Jung, Hyuk Jun Yoo, Sang Soo Han, Jong Woo Kim, Maximilian O. Besenhard, Ye Seol Lee, Jonggeol Na

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  6. A quantitative criterion for evidencing predicted compounds in high-throughput powder X-ray diffraction data: Illustration with half-antiperovskite

    Acta Materialia · 2025-09-17

    Kyoka Nagashima, P. Klavins, Valentin Taufour

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  7. Advancements in nanotechnology for sunscreens: Preparation, characterization, and mechanisms of UV protection

    OpenNano · 2025-09-25

    Feggy Yustika Sitinjak, Nur Aisyah, Diah Lia Aulifa, Arif Budiman

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  8. A Review of Synthesis, Characterization, Properties, and Applications of Double Perovskite Oxides

    Inorganics · 2025-11-07

    Pablo V. Tuza, Mariana M.V.M. Souza

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  9. Computer vision for high-throughput materials synthesis: a tutorial for experimentalists

    Digital Discovery · 2025-12-23

    Madeleine A. Gaidimas, Abhijoy Mandal, Pan Chen, Shi Xuan Leong, G. C. Kim, Akshay Talekar, Kent O. Kirlikovali, Kourosh Darvish, Omar K. Farha, Varinia Bernales, Alán Aspuru‐Guzik

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  10. Closed-loop robotic manipulation of transparent substrates for self-driving laboratories using deep learning micro-error correction

    Digital Discovery · 2026-01-01

    Kelsey Fontenot, Anjali Gorti, Iva Goel, Tonio Buonassisi, Alexander E. Siemenn

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  11. Orchestration of heterogeneous experimental machines via ROS2 for automated bulk intermetallic synthesis

    Science and Technology of Advanced Materials Methods · 2026-01-23

    Wei-Sheng Wang, Kensei Terashima, Yoshihiko Takano

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  12. Dara: Automated Multiple-Hypothesis Phase Identification and Refinement from Powder X-ray Diffraction

    Chemistry of Materials · 2026-01-27

    Yuxing Fei, Matthew J. McDermott, Christopher L. Rom, Shilong Wang, Gerbrand Ceder

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  13. Accelerated drug development using a digital formulator and a self-driving tableting data factory

    Nature Communications · 2026-04-01

    Faisal Abbas, Mohammad Salehian, Peter Hou, Jonathan Moores, Jonathan Goldie, Alexandros Tsioutsios, Theo Tait, Victor Portela, Quentin Boulay, Roland Thiollière, Ashley Stark, Jean-Jacques Schwartz, Jerome Guerin, Andrew G. P. Maloney, Alexandru A. Moldovan, Gavin Reynolds, Jérôme Mantanus, Catriona Clark, Paul Chapman, Alastair James Florence, Daniel Markl

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  14. SPACESHIP: Autonomous Mapping of Hardware-Dependent Synthesizable Space in Solution-Phase Gold Nanomaterials

    Journal of the American Chemical Society · 2026-04-29

    Nayeon Kim, Hyuk Jun Yoo, Daeho Kim, Heeseung Lee, Chang Seop Hong, Sang Soo Han

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  15. Automated laboratory x-ray diffractometer and fluorescence spectrometer for high-throughput materials characterization

    Review of Scientific Instruments · 2026-06-01

    Hyun Sang Park, Timothy J. H. Long, Michael Wall, Alexander deJong, Ali Rachidi, K. Kowalik, Gannon Murray, Rohit Berlia, David C. Elbert, Timothy P. Weihs, Robert Drake, Todd C. Hufnagel

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  16. Autonomous closed-loop optimization for MAX-phase synthesis via image-based quality evaluation and sequence learning

    Materials & Design · 2026-06-22

    Jiahui Li, Shengkun Xi, Chao Ouyang, Xiuling Shi, Han Yuan, Rongpei Shi, Junwei Wu, Cuiping Wang, Haijun Zhang, Xiaoyu Chong, Xingjun Liu

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  17. Closed-Loop Machine Learning in Materials Discovery: From Predict-Validate-Update Paradigms to Autonomous Ecosystems

    Archives of Computational Methods in Engineering · 2026-07-13

    Yunseok Kim, Sua Kim, Hwanyeol Park

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  18. Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

    Advanced Science · 2026-08-03

    Olympia Dartsi, Lauren N. Walters, Amalie Trewartha, Steven B. Torrisi, Amanda A. Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain

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  19. New Frontiers in Single-Atom Catalysis: Active-Site Dynamics and AI-Enabled Design

    Chemical Reviews · 2026-08-13

    Jinxing Chen, Jie Liu, Jialu Sun, Jun Li, Yang Meng, Chengzhi Hu, Jiali Li, Jiong Ping Lu

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