Overview
Education/Academic qualification
Eng-Matls Eng, Doctorate Degree
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Dive into the research topics where Sam Reeve is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Metal additive manufacturing simulation across length, time, and computing scales
Plotkowski, A., Rolchigo, M., Wagner, G., Reeve, S. T., Coleman, J., Knapp, G., Levine, L., To, A., DeWitt, S., Dugast, F., Mahadevan, S., Newman, C., Stump, B., Bement, M. & Turner, J., May 2026, In: International Materials Reviews. 71, 3, p. 254-293 40 p.Research output: Contribution to journal › Review article › peer-review
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Establishing model credibility for process-microstructure-property relationships in additive manufacturing using exascale computing
Rolchigo, M., Coleman, J., Carson, R., Titov, M., Reeve, S. T., Knapp, G., Plotkowski, A., Belak, J., Bement, M. & Turner, J., 2025, (Accepted/In press) In: International Journal of High Performance Computing Applications.Research output: Contribution to journal › Article › peer-review
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ExaCA v2.0: A versatile, scalable, and performance portable cellular automata application for additive manufacturing solidification
Rolchigo, M., Reeve, S. T., Stump, B., Coleman, J. & Plotkowski, A., Mar 2025, In: Computational Materials Science. 251, 113734.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Myna: Connecting powder bed fusion build data to simulation tools for digital twin applications
Knapp, G. L., Reeve, S. T., Coleman, J., Rolchigo, M., Stump, B., DeWitt, S. & Plotkowski, A., Aug 2025, In: Computational Materials Science. 258, 114094.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
On the numerical sensitivity of cellular automata grain structure predictions to large thermal gradients and cooling rates
Rolchigo, M., Stump, B., Coleman, J., Reeve, S. T., Knapp, G. L. & Plotkowski, A., Feb 5 2025, In: Computational Materials Science. 249, 113648.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations
Datasets
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FeSi binary alloy electronic structure low-Si dataset (1024 atoms)
Lupo Pasini, M. (Creator), Reeve, S. (Creator), Samolyuk, G. (Creator), Ellis, D. (Creator) & Eisenbach, M. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Feb 15 2021
DOI: 10.13139/ORNLNCCS/1765080
Dataset