@misc{indiciae9d355dfea237,
  title = {A Machine Learning Framework for Predicting Microphysical Properties of Ice Crystals From Cloud Particle Imagery},
  author = {Ko, J. [Columbia Univ., New York, NY (United States); NSF Science and Technology Center (STC), New York, NY (United States). Learning the Earth with Artificial Intelligence and Physics (LEAP)] (ORCID:000000033141070X) and Harrington, J. Y. [Pennsylvania State Univ., University Park, PA (United States)] and Sulia, K. J. [State Univ. of New York (SUNY), Albany, NY (United States)] and Przybylo, V. [State Univ. of New York (SUNY), Albany, NY (United States); National Grid, Waltham, MA (United States)] and van Lier‐Walqui, M. [NSF Science and Technology Center (STC), New York, NY (United States). Learning the Earth with Artificial Intelligence and Physics (LEAP); NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States); Columbia Univ., New York, NY (United States)] (ORCID:0000000206280045) and Lamb, K. D. [NSF Science and Technology Center (STC), New York, NY (United States). Learning the Earth with Artificial Intelligence and Physics (LEAP); Columbia Univ., New York, NY (United States)] (ORCID:0000000168833285)},
  year = {2025},
  doi = {10.1029/2025jh000905},
  url = {https://www.osti.gov/biblio/3021103},
  note = {Source identifier: 3021103}
}