Machine learning-guided property prediction of energetic materials: Recent advances, challenges, and perspectives

Xiaolan Tian(China Academy of Engineering Physics), Qinghua Zhang(Dalian University of Technology), Xiujuan Qi(Southwest University of Science and Technology), Siwei Song(China Academy of Engineering Physics), Yi Wang(National Laboratory of Solid State Microstructures), Fang Chen(China Academy of Engineering Physics)
Energetic Materials Frontiers
August 18, 2022
Cited by 88


Related Papers