2 papers
cond-mat.mtrl-sci2022
Machine Learning Interatomic Potential for Anisotropic Thermal Transport in Bulk Hexagonal Boron Nitride
Jialin Tang, Qi Wang, Jiongzhi Zheng +2
The highly anisotropic thermal conductivity in layered materials is crucial for a broad range of applications such as thermal management of electronic devices, thermal insulation,…
cs.LG2022
GIU-GANs: Global Information Utilization for Generative Adversarial Networks
Yongqi Tian, Xueyuan Gong, Jialin Tang +3
In recent years, with the rapid development of artificial intelligence, image generation based on deep learning has dramatically advanced. Image generation based on Generative Adve…