@misc{indiciae6fb571370d1c,
  title = {High-Temperature Gas Sensor Materials with Properties Predicted via First-Principles Calculations with Machine Learning Modeling and Experimental Corroboration},
  author = {Chong, Leebyn [NETL Site Support Contractor, National Energy Technology Laboratory] and Nguyen, Manh [National Energy Technology Laboratory (NETL)] and Lee, Yueh-Lin [NETL Site Support Contractor, National Energy Technology Laboratory] and Nandi, Tarak [NETL Site Support Contractor, National Energy Technology Laboratory] and Wuenschell, Jeffrey [NETL] (ORCID:0000000329898558) and Saidi, Wissam [NETL] (ORCID:0000000167144832) and Sorescu, Dan [NETL] (ORCID:0000000217497629) and Duan, Yuhua [NETL] (ORCID:0000000174470142)},
  year = {2025},
  doi = {10.2172/2531064},
  url = {https://www.osti.gov/biblio/2531064},
  note = {Source identifier: 2531064}
}