Zobrazeno 1 - 10
of 308
pro vyhledávání: '"Tian, Zean"'
Elucidating the intricate relationship between the structure and dynamics in the context of the glass transition has been a persistent challenge. Machine learning (ML) has emerged as a pivotal tool, offering novel pathways to predict dynamic behavior
Externí odkaz:
http://arxiv.org/abs/2407.06111
Unraveling the structural factors influencing the dynamics of amorphous solids is crucial. While deep learning aids in navigating these complexities, transparency issues persist. Inspired by the successful application of prototype neural networks in
Externí odkaz:
http://arxiv.org/abs/2401.03743
Publikováno v:
The Journal of Chemical Physics, 159(14) (2023)
Understanding the dynamic processes of the glassy system continues to be challenging. Recent advances have shown the power of graph neural networks (GNNs) for determining the correlation between structure and dynamics in the glassy system. These meth
Externí odkaz:
http://arxiv.org/abs/2211.12832
Autor:
Cen, Weifu, He, Xin, Dai, Songli, Lv, Lin, Yao, Bing, Ou, Jiankai, Zou, Ping, Yang, Yinye, Tian, Zean
Publikováno v:
In Physica B: Condensed Matter 15 August 2024 687
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
In Journal of Materials Research and Technology July-August 2024 31:1626-1636
Publikováno v:
In Applied Surface Science 1 October 2024 669
Publikováno v:
In Computational and Theoretical Chemistry September 2024 1239
Autor:
Mo, Yunfei, Tian, Zean, Zhou, Lili, Liang, Yongchao, Dong, Kejun, Zhang, Xiefu, Zhang, Haitao, Peng, Ping, Liu, Rangsu
Publikováno v:
In Chemical Physics 1 May 2024 581
Publikováno v:
In Computational Materials Science February 2024 234