Projects per year
Overview
Education/Academic qualification
Phy-Theoretical, Doctorate Degree
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Dive into the research topics where Markus Eisenbach is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Projects
- 1 Active
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Predictive Simulations in Strongly Correlated Electron Systems and Functional Nanostructures
Cummings, P. P. (CoPI), Schulthess, T. C. (PI), Alverz, G. G. (CoPI), Dagotto, E. (CoPI), Eisenbach, M. (CoPI), Kent, P. (CoPI), Maier, T. (CoPI), Stocks, M. M. (CoPI), Bernholc, J. (CoPI), Jarrell, M. (CoPI) & Landman, U. U. (CoPI)
01/1/07 → …
Project: Research
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Edge dislocation mediated anomalous charge transfer in face centered cubic high entropy alloys
Anand, G., Ghosh, S., Chabri, S. & Eisenbach, M., Aug 25 2026, In: Computational Materials Science. 273, 114955.Research output: Contribution to journal › Article › peer-review
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Enhancing dimensionality prediction in hybrid metal halides via feature engineering and class-imbalance mitigation
Karabin, M., Armstrong, I., Beck, L., Apanel, P., Eisenbach, M., Mitzi, D. B., Terletska, H. & Heinz, H., Jun 2026, In: Machine Learning: Science and Technology. 7, 3, 035011.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Power-Capping Metric Evaluation for Improving Energy Efficiency in HPC Applications
Patrou, M., Wang, T., Elwasif, W., Eisenbach, M., Miller, R., Godoy, W. & Hernandez, O., 2026, High Performance Computing - ISC High Performance 2025 International Workshops, Revised Selected Papers. Neuwirth, S., Paul, A. K., Weinzierl, T. & Carson, E. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-244 14 p. (Lecture Notes in Computer Science; vol. 16091 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Quantum solver for single-impurity Anderson models with particle-hole symmetry
Karabin, M., Sohail, T., Bykov, D., Pérez, E. A. C., Ghosh, S., Meena, M. G., Kim, S., Shehata, A., Suh, I. S., Terletska, H. & Eisenbach, M., Jul 1 2026, In: Physical Review Research. 8, 3, 033066.Research output: Contribution to journal › Article › peer-review
Open Access -
Combined molecular and spin dynamics simulation of BCC iron with vacancy defects
Mudrick, M., Eisenbach, M., Perera, D. & Landau, D. P., Feb 7 2025, In: Journal of Chemical Physics. 162, 5, 054114.Research output: Contribution to journal › Article › peer-review
Open Access
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
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NbTaV_BCC_SolidSolution_128atoms_VASP6
Lupo Pasini, M. (Creator), Samolyuk, G. (Creator), Eisenbach, M. (Creator), Choi, J. Y. (Creator) & Yang, Y. (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), Nov 30 2023
Dataset
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ORNL_AISD_NiPt_108atoms
Karabin, M. (Creator), Lupo Pasini, M. (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), May 18 2023
Dataset
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ORNL_AISD_NiPt
Karabin, M. (Creator), Lupo Pasini, M. (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), Mar 1 2023
Dataset
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Optimization performance, fidelity, and cost: SIAM VQE
Karabin, M. (Creator), Coello Perez, E. (Creator), Sohail, T. (Creator), Ghosh, S. (Creator) & Eisenbach, M. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2026
DOI: 10.13139/olcf/3013386, https://www.osti.gov/servlets/purl/3013386
Dataset