@misc{indiciae03504b5c67c7,
  title = {Accurate and efficient predictions of keyhole dynamics in laser materials processing using machine learning-aided simulations},
  author = {Zhang, Jiahui [Univ. of Toronto, ON (Canada)] and Jiang, Runbo [Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Advanced Light Source (ALS)] and Li, Kangming [Univ. of Toronto, ON (Canada)] and Chen, Pengyu [Univ. of Toronto, ON (Canada)] and Bi, Shengbo [Univ. of Toronto, ON (Canada)] and Shang, Xiao [Univ. of Toronto, ON (Canada)] and Liu, Zhiying [Univ. of Toronto, ON (Canada)] and Hattrick-Simpers, Jason [Univ. of Toronto, ON (Canada)] and Simonds, Brian J. [National Inst. of Standards and Technology (NIST), Gaithersburg, MD (United States)] (ORCID:0000000297580704) and Wei, Qianglong [Shanghai Jiao Tong Univ. (China)] (ORCID:0000000266392970) and Wang, Hongze [Shanghai Jiao Tong Univ. (China)] and Sun, Tao [Northwestern Univ., Evanston, IL (United States)] (ORCID:0000000248819774) and Rollett, Anthony D. [Carnegie Mellon Univ., Pittsburgh, PA (United States)] and Zou, Yu [Univ. of Toronto, ON (Canada)]},
  year = {2025},
  doi = {10.1016/j.ijheatmasstransfer.2025.127279},
  url = {https://www.osti.gov/biblio/3012140},
  note = {Source identifier: 3012140}
}