HydraGNN_Predictive_GFM_2026 - Ensemble of predictive graph foundation models for atomistic materials modeling
- DOI
- 10.13139/olcf/2562660
- Published
- 2026
- Container
- Not recorded
- Publisher
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.13139/olcf/2562660,
title = {HydraGNN\_Predictive\_GFM\_2026 - Ensemble of predictive graph foundation models for atomistic materials modeling},
author = {Lupo Pasini, Massimiliano and Choi, Jong Youl and Mehta, Kshitij and Messerly , Richard and Weaver, Rylie and Aji, Ashwin and Schulz, Karl and Polo, Jorda},
year = {2026},
doi = {10.13139/olcf/2562660},
url = {https://doi.org/10.13139/olcf/2562660}
}RIS
TY - JOUR TI - HydraGNN_Predictive_GFM_2026 - Ensemble of predictive graph foundation models for atomistic materials modeling AU - Lupo Pasini, Massimiliano AU - Choi, Jong Youl AU - Mehta, Kshitij AU - Messerly , Richard AU - Weaver, Rylie AU - Aji, Ashwin AU - Schulz, Karl AU - Polo, Jorda PY - 2026 DO - 10.13139/olcf/2562660 UR - https://doi.org/10.13139/olcf/2562660 ER -
APA
Massimiliano, L. P., Youl, C. J., Kshitij, M., Richard, M. ,., Rylie, W., Ashwin, A., Karl, S., & Jorda, P. (2026). HydraGNN_Predictive_GFM_2026 - Ensemble of predictive graph foundation models for atomistic materials modeling. https://doi.org/10.13139/olcf/2562660
Source records
- datacite · retrieved 2026-11-09T06:21:53.242Z