@misc{indiciae7fdc6777fceb,
  title = {A Universal Augmentation Framework for Long-Range Electrostatics in Machine Learning Interatomic Potentials},
  author = {Kim, Dongjin [University of California, Berkeley, CA (United States)] (ORCID:000900016780245X) and Wang, Xiaoyu [University of California, Berkeley, CA (United States)] and Vargas, Santiago [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)] (ORCID:0000000216340945) and Zhong, Peichen [University of California, Berkeley, CA (United States)] (ORCID:0000000319211628) and King, Daniel S. [University of California, Berkeley, CA (United States)] and Inizan, Theo Jaffrelot [University of California, Berkeley, CA (United States)] and Cheng, Bingqing [University of California, Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Institute of Science and Technology Austria (ISTA), Klosterneuburg (Austria)] (ORCID:0000000235849632)},
  year = {2025},
  doi = {10.1021/acs.jctc.5c01400},
  url = {https://www.osti.gov/biblio/3023386},
  note = {Source identifier: 3023386}
}