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update pimd paper
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README.md

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@@ -118,8 +118,8 @@ J. Chem. Theory Comput. **20**, 3273 (2024).
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[16] Keke Song, Jiahui Liu, Shunda Chen, Zheyong Fan, Yanjing Su, Ping Qian, [Solute segregation in polycrystalline aluminum from hybrid Monte Carlo and molecular dynamics simulations with a unified neuroevolution potential](https://arxiv.org/abs/2404.13694),
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arXiv:2404.13694 [cond-mat.mtrl-sci]
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[17] Penghua Ying, Wenjiang Zhou, Lucas Svensson, Esmée Berger, Erik Fransson, Fredrik Eriksson, Ke Xu, Ting Liang, Jianbin Xu, Bai Song, Shunda Chen, Paul Erhart, Zheyong Fan, [Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials](https://arxiv.org/abs/2409.04430),
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arXiv:2409.04430 [cond-mat.mtrl-sci]
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[17] Penghua Ying, Wenjiang Zhou, Lucas Svensson, Esmée Berger, Erik Fransson, Fredrik Eriksson, Ke Xu, Ting Liang, Jianbin Xu, Bai Song, Shunda Chen, Paul Erhart, Zheyong Fan, [Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials](https://doi.org/10.1063/5.0241006),
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J. Chem. Phys. **162**, 064109 (2025).
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[18] Shuning Pan, Jiuyang Shi, Zhixin Liang, Cong Liu, Junjie Wang, Yong Wang, Hui-Tian Wang, Dingyu Xing, and Jian Sun, [Shock compression pathways to pyrite silica from machine learning simulations](https://doi.org/10.1103/PhysRevB.110.224101),
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Phys. Rev. B **110**, 224101 (2024).

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