Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites

Multi‐Fidelity High‐Throughput Optimization of Electrical Conductivity in P3HT‐CNT Composites

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Combining high-throughput experiments with machine learning accelerates materials and process optimization toward user-specified target properties. In this study, a rapid machine learning-driven automated flow mixing setup with a high-throughput drop-casting system is introduced for thin film prepar...

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Bibliographic Details
Main Authors: Bash, Daniil, Cai, Yongqiang, Chellappan, Vijila, Wong, Swee Liang, Yang, Xu, Kumar, Pawan, Tan, Jin Da, Abutaha, Anas, Cheng, Jayce JW, Lim, Yee‐Fun, Tian, Siyu Isaac Parker, Ren, Zekun, Mekki‐Berrada, Flore, Wong, Wai Kuan, Xie, Jiaxun, Kumar, Jatin, Khan, Saif A, Li, Qianxao, Buonassisi, Tonio, Hippalgaonkar, Kedar
Other Authors: Singapore-MIT Alliance in Research and Technology (SMART)
Format: Article
Language:English
Published: Wiley 2021
Online Access:https://hdl.handle.net/1721.1/138489

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https://hdl.handle.net/1721.1/138489

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