CITATIONS.bib

@article{zhuMachineLearningPotential2025,
  title        = {
    Machine learning potential for electrochemical interfaces with hybrid
    representation of dielectric response
  },
  author       = {Zhu, Jia-Xin and Cheng, Jun},
  journal      = {Phys. Rev. Lett.},
  year         = 2025,
  volume       = 135,
  number       = 1,
  pages        = {018003},
  doi          = {10.1103/48ct-3jxm},
}

@article{Zeng_JChemTheoryComput_2025_v21_p4375,
  author       = {
    Jinzhe Zeng and Duo Zhang and Anyang Peng and Xiangyu Zhang and Sensen He
    and Yan Wang and Xinzijian Liu and Hangrui Bi and Yifan Li and Chun Cai and
    Chengqian Zhang and Yiming Du and Jia-Xin Zhu and Pinghui Mo and Zhengtao
    Huang and Qiyu Zeng and Shaochen Shi and Xuejian Qin and Zhaoxi Yu and
    Chenxing Luo and Ye Ding and Yun-Pei Liu and Ruosong Shi and Zhenyu Wang
    and Sigbj{\o}rn L{\o}land Bore and Junhan Chang and Zhe Deng and Zhaohan
    Ding and Siyuan Han and Wanrun Jiang and Guolin Ke and Zhaoqing Liu and
    Denghui Lu and Koki Muraoka and Hananeh Oliaei and Anurag Kumar Singh and
    Haohui Que and Weihong Xu and Zhangmancang Xu and Yong-Bin Zhuang and Jiayu
    Dai and Timothy J. Giese and Weile Jia and Ben Xu and Darrin M. York and
    Linfeng Zhang and Han Wang
  },
  title        = {
    {DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning
    Potentials}
  },
  journal      = {J. Chem. Theory Comput.},
  year         = 2025,
  volume       = 21,
  number       = 9,
  pages        = {4375--4385},
  doi          = {10.1021/acs.jctc.5c00340},
}