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	Title	Author(s)	Issue Date	Views
	GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations Journal:The Journal of Chemical Physics	Fan, ZY Wang, YZ Ying, PH Song, KK Wang, JJ Wang, Y Zeng, ZZ Ke, X Lindgren, E Rahm, JM Gabourie, AJ Liu, JH Dong, HK Wu, JY Yue, C Zheng, Z Jian, S Erhart, P Su, YJ Ala-Nissila, T	21-Sep-2022
	Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport Journal:Physical Review B	Fan, Z Zeng, Z Zhang, C Wang, Y Song, K Dong, H Chen, Y Ala-Nissila, T	2021	4

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