@misc{indiciae5d18391a39cf,
  title = {A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles},
  author = {Genc, Arda [University of California, Santa Barbara, CA (United States)] (ORCID:0000000306943221) and Marlowe, Justin [University of California, Santa Barbara, CA (United States)] and Jalil, Anika [University of California, Santa Barbara, CA (United States)] and Belzberg, Daniel [University of California, Santa Barbara, CA (United States)] and Kovarik, Libor [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] and Christopher, Phillip [University of California, Santa Barbara, CA (United States)]},
  year = {2025},
  doi = {10.1016/j.ultramic.2025.114116},
  url = {https://www.osti.gov/biblio/2526579},
  note = {Source identifier: 2526579}
}