Machine learning-driven closed-loop discovery of hard multiple principal element alloys
- DOI
- 10.1039/d6mh00103c
- Published
- 2026
- Container
- Materials Horizons
- Publisher
- Royal Society of Chemistry (RSC)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6mh00103c,
title = {Machine learning-driven closed-loop discovery of hard multiple principal element alloys},
author = {Maitreyee Sharma Priyadarshini and Edwin Gienger and Jarett Ren and Bianca Piloseno and Elizabeth A. Pogue and Paul K. Lambert and Jesse S. Ko and Paulette Clancy},
year = {2026},
journal = {Materials Horizons},
doi = {10.1039/d6mh00103c},
url = {https://doi.org/10.1039/d6mh00103c}
}RIS
TY - JOUR TI - Machine learning-driven closed-loop discovery of hard multiple principal element alloys AU - Maitreyee Sharma Priyadarshini AU - Edwin Gienger AU - Jarett Ren AU - Bianca Piloseno AU - Elizabeth A. Pogue AU - Paul K. Lambert AU - Jesse S. Ko AU - Paulette Clancy PY - 2026 JO - Materials Horizons DO - 10.1039/d6mh00103c UR - https://doi.org/10.1039/d6mh00103c ER -
APA
Priyadarshini, M. S., Gienger, E., Ren, J., Piloseno, B., Pogue, E. A., Lambert, P. K., Ko, J. S., & Clancy, P. (2026). Machine learning-driven closed-loop discovery of hard multiple principal element alloys. Materials Horizons. https://doi.org/10.1039/d6mh00103c
Source records
- crossref · retrieved 2026-09-25T02:59:24.855Z