Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Shaobo Li, Yabo Dan, Xiang Li, Tiantian Hu, Rongzhi Dong, Zhuo Cao, Jianjun Hu. Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning. Symmetry, 12(2):262, 2020. [doi]

The following publications are possibly variants of this publication:

Adversarial robustness of deep neural networks: A survey from a formal verification perspectiveMeng, Mark Huasong, Bai, Guangdong, Teo, Sin Gee, Hou, Zhe, Xiao, Yan, Lin, Yun, Dong, Jin Song. IEEE Transactions on Dependable and Secure Computing, , 2022.

Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision TreesYabo Dan, Rongzhi Dong, Zhuo Cao, Xiang Li, Chengcheng Niu, Shaobo Li, Jianjun Hu. access, 8:57868-57878, 2020. [doi]

runs on WebDSL