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

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

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...

Full description

Bibliographic Details
Main Authors: Bash, Daniil (Author), Cai, Yongqiang (Author), Chellappan, Vijila (Author), Wong, Swee Liang (Author), Yang, Xu (Author), Kumar, Pawan (Author), Tan, Jin Da (Author), Abutaha, Anas (Author), Cheng, Jayce JW (Author), Lim, Yee‐Fun (Author), Tian, Siyu Isaac Parker (Author), Ren, Zekun (Author), Mekki‐Berrada, Flore (Author), Wong, Wai Kuan (Author), Xie, Jiaxun (Author), Kumar, Jatin (Author), Khan, Saif A (Author), Li, Qianxao (Author), Buonassisi, Tonio (Author), Hippalgaonkar, Kedar (Author)
Format: Article
Language:English
Published: Wiley, 2021-12-15T17:11:46Z.
Subjects:
Article
Online Access:Get fulltext

Internet

Get fulltext

Similar Items