Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis-Reference-Cited by-同舟云学术

Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis

Author:

Lai Fuming¹²,Sun Zhehao³⁴,Saji Sandra Elizabeth³,He Yichuan⁴,Yu Xuefeng¹,Zhao Haitao¹,Guo Haibo⁵,Yin Zongyou³^ORCID

Affiliation:

1. Materials Interfaces Center Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 440305 China

2. Jinhua Advanced Research Institute Jinhua 321019 China

3. Research School of Chemistry Australian National University Canberra ACT 2601 Australia

4. School of Energy and Power Engineering Dalian University of Technology Dalian 116024 China

5. School of Materials Science and Engineering Shanghai University Shanghai 200444 China

Funder

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Australian Research Council

Publisher

Wiley

Subject

Biomaterials,Biotechnology,General Materials Science,General Chemistry

Link

Reference74 articles.

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Artificial Neural Network-based Approach for Surface energy Prediction;Recent Advances in Neuromorphic Computing [Working Title];2024-07-22