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RESEARCH PAPER · Digital Discovery · 2024

Autonomous millimeter scale high throughput battery research system

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

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42 direct citing works

Autonomous millimeter scale high throughput battery research systemOriginalPASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys17Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward38Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management4AutoSAS: A new human-aside-the-loop paradigm for automated SAS fitting for high throughput and autonomous experimentation1AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management31Electrolyte design strategies for next-generation supercapacitors and metal-ion batteries11A scalable open-source software platform for managing and automating massively parallel battery cycling experiments0Recent advances in alkali and alkaline-earth metal doping for layered sodium-ion oxide cathodes0AI‐Driven Big Data Frameworks for Electrode–Electrolyte Interphases in Batteries28High-Throughput Electrochemistry Using Scanning Electrochemical Cells4How can high-throughput experimentation accelerate the rational design of electro-catalysts for sustainable energy conversion?0Leveraging Machine Learning for Accelerated Electrode–Electrolyte Interface Design in Rechargeable Li‐Based Batteries0

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12 direct citing papers saved.

  1. PASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys

    Digital Discovery · 2024-01-01

    Deniz N. Cakan, Rishi E. Kumar, Eric Oberholtz, Moses Kodur, Jack R. Palmer, Apoorva Gupta, Ken Kaushal, Hendrik M. Vossler, David P. Fenning

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  2. Automation and Machine Learning for Accelerated Polymer Characterization and Development: Past, Potential, and a Path Forward

    Macromolecules · 2024-09-07

    Peter A. Beaucage, Duncan R. Sutherland, Tyler B. Martin

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  3. Toward an Autonomous Robotic Battery Materials Research Platform Powered by Automated Workflow and Ontologized Findable, Accessible, Interoperable, and Reusable Data Management

    Batteries & Supercaps · 2025-07-07

    Enea Svaluto‐Ferro, Graham Kimbell, YeonJu Kim, Nukorn Plainpan, Benjamin Kunz, Lina Scholz, Raphael Läubli, Maximilian Becker, David Reber, Peter Kraus, Ruben‐Simon Kühnel, Corsin Battaglia

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  4. AutoSAS: A new human-aside-the-loop paradigm for automated SAS fitting for high throughput and autonomous experimentation

    APL Machine Learning · 2025-08-12

    Duncan R. Sutherland, Rachel R. Ford, Yun Liu, Tyler B. Martin, Peter A. Beaucage

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  5. AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management

    SusMat · 2025-09-03

    Yuehui Xian, Cheng Li, Yangyang Xu, Yumei Zhou, Dezhen Xue

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  6. Electrolyte design strategies for next-generation supercapacitors and metal-ion batteries

    Emergent Materials · 2025-11-18

    Xuexue Pan, Wenkai Li, Xiaoting Lai, Yongqi Liang, Zicheng Jiang, Xiaoling Luo, Rong Hu

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  7. A scalable open-source software platform for managing and automating massively parallel battery cycling experiments

    Digital Discovery · 2026-01-01

    Graham Kimbell, Ruben‐Simon Kühnel, Corsin Battaglia

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  8. Recent advances in alkali and alkaline-earth metal doping for layered sodium-ion oxide cathodes

    EES batteries. · 2026-01-01

    Hanyu Fu, Yang Yu, Jared Diaz, Yan Li Yao, Miaofang Chi, Zhennan Huang

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  9. AI‐Driven Big Data Frameworks for Electrode–Electrolyte Interphases in Batteries

    Advanced Materials · 2026-01-10

    Abdullah Bin Faheem, Zengyu Han, Dongshuang Wu, Haobo Li

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  10. High-Throughput Electrochemistry Using Scanning Electrochemical Cells

    ACS electrochemistry. · 2026-03-13

    Joanna Magdalena Przybysz, Ken J. Jenewein, Serhiy Cherevko

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  11. How can high-throughput experimentation accelerate the rational design of electro-catalysts for sustainable energy conversion?

    Progress in Materials Science · 2026-08-06

    Johannes D. Bartl, Anat Itzhak, Hannah‐Noa Barad

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  12. Leveraging Machine Learning for Accelerated Electrode–Electrolyte Interface Design in Rechargeable Li‐Based Batteries

    Small · 2026-08-14

    Xiaorui Liu, Qingyu Li, Jianghao Liang, Zhiqiang Li, Haozhi Wang, Yida Deng

    Read original paper ↗ ·