TensorKMC: Kinetic Monte Carlo Simulation of 50 Trillion Atoms Driven by Deep Learning on a New Generation of Sunway Supercomputer. Shang, H., Chen, X., Gao, X., Lin, R., Wang, L., Li, F., Xiao, Q., Xu, L., Sun, Q., Zhu, L., Wang, F., Zhang, Y., & Song, H. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pages 1–14, New York, NY, USA, nov, 2021. ACM. ![TensorKMC: Kinetic Monte Carlo Simulation of 50 Trillion Atoms Driven by Deep Learning on a New Generation of Sunway Supercomputer [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{HonghuiShangXinChen2021,
address = {New York, NY, USA},
author = {Shang, Honghui and Chen, Xin and Gao, Xingyu and Lin, Rongfen and Wang, Lifang and Li, Fang and Xiao, Qian and Xu, Lei and Sun, Qiang and Zhu, Leilei and Wang, Fei and Zhang, Yunquan and Song, Haifeng},
booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis},
doi = {10.1145/3458817.3476174},
file = {:C\:/Users/shanghui/Documents/work/shanghui_latex/23_SC_21_publish/2021_tensorkmc.pdf:pdf},
isbn = {9781450384421},
month = {nov},
pages = {1--14},
publisher = {ACM},
title = {{TensorKMC: Kinetic Monte Carlo Simulation of 50 Trillion Atoms Driven by Deep Learning on a New Generation of Sunway Supercomputer}},
url = {https://dl.acm.org/doi/10.1145/3458817.3476174},
year = {2021}
}
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