Stability prediction of gold nanoclusters with different ligands and doped metals: deep learning and experimental tests
Yuming Gu, Shisi Tang, Xu Liu, Xinyi Liang, Qin Zhu, Hongfeng Wu, Xiao Yang, Weihao Jin, Hongwei Chen, Chunyan Liu, Yan Zhu, Jing Ma
Abstract
The formation energy of gold nanoclusters could be predicted quickly by deep learning.
Topics & Concepts
NanoclustersDopingMaterials scienceStability (learning theory)NanotechnologyComputer scienceMachine learningOptoelectronicsNanocluster Synthesis and ApplicationsGold and Silver Nanoparticles Synthesis and ApplicationsAdvanced Nanomaterials in Catalysis