Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling
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DOI: 10.1038/s41467-022-32938-1
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- Hongyuan Sheng & Jingwen Sun & Oliver Rodríguez & Benjamin B. Hoar & Weitong Zhang & Danlei Xiang & Tianhua Tang & Avijit Hazra & Daniel S. Min & Abigail G. Doyle & Matthew S. Sigman & Cyrille Costent, 2024. "Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
- Juran Noh & Hieu A. Doan & Heather Job & Lily A. Robertson & Lu Zhang & Rajeev S. Assary & Karl Mueller & Vijayakumar Murugesan & Yangang Liang, 2024. "An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
- Shang Zhu & Bharath Ramsundar & Emil Annevelink & Hongyi Lin & Adarsh Dave & Pin-Wen Guan & Kevin Gering & Venkatasubramanian Viswanathan, 2024. "Differentiable modeling and optimization of non-aqueous Li-based battery electrolyte solutions using geometric deep learning," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
- Snehi Shrestha & Kieran James Barvenik & Tianle Chen & Haochen Yang & Yang Li & Meera Muthachi Kesavan & Joshua M. Little & Hayden C. Whitley & Zi Teng & Yaguang Luo & Eleonora Tubaldi & Po-Yen Chen, 2024. "Machine intelligence accelerated design of conductive MXene aerogels with programmable properties," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
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