Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Deep physics based structural health monitoring
Dietrich, F. (PI), Kollmannsberger, S. S. (PI), Bungartz, H.-J. (PI) & Sun, Q. (CoI)
13/03/23 → 12/03/27
Project: Research
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3xa: Simulationssoftware für Exascalesysteme zur Berechnung von Dreikörperwechselwirkungen
Bungartz, H.-J. (PI), Neumann, P. (PI), Meier, K. (PI), Resch, M. (PI), Vrabec, J. (PI), Gratl, F. (CoI) & Muehlhaeusser, M. (CoI)
1/11/22 → 30/10/25
Project: Research
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TIME-X
Bungartz, H.-J. (PI), Schreiber, M. (PI), Neckel, T. (PI), Schulz, M. (PI), Bolten, M. (PI), Stephanie, F. (PI), Legoll, F. (PI), Lelièvre, T. (PI), Speck, R. (PI), Samaey, G. (PI), Vandewalle, S. (PI), Maday, Y. (PI), Schöps, S. (PI), Ruprecht, D. (PI), Krause, R. (PI), Gander, M. J. (PI) & Gaddameedi, K. (CoI)
1/04/21 → 31/03/24
Project: Research
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Extension of ATHLET by the general coupling interface preCICE for multiphysics simulations in reactor safety - Part: preCICE
Bungartz, H.-J. (PI), Uekermann, B. (CoI) & Chourdakis, G. (CoI)
1/06/19 → 31/12/22
Project: Research
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Process-oriented Performance Engineering Service Infrastructure for Scientific Software at German HPC Centers - Algorithms
Bader, M. (PI), Bungartz, H.-J. (PI) & Liu Weng, H. (CoI)
1/10/17 → 30/09/20
Project: Research
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Anomaly Detection from Time Series Under Uncertainty
Wiessner, P., Bezirganyan, G., Sellami, S., Chbeir, R. & Bungartz, H. J., 2024, Big Data Analytics and Knowledge Discovery - 26th International Conference, DaWaK 2024, Proceedings. Wrembel, R., Chiusano, S., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 231-238 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14912 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Efficient and Scalable Kernel Matrix Approximations Using Hierarchical Decomposition
Gaddameedi, K., Reiz, S., Neckel, T. & Bungartz, H. J., 2024, Intelligent Computers, Algorithms, and Applications - Third BenchCouncil International Symposium, IC 2023, Revised Selected Papers. Cruz, C., Zhang, Y. & Gao, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-16 14 p. (Communications in Computer and Information Science; vol. 2036 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Ravi, K., Fediukov, V., Dietrich, F., Neckel, T., Buse, F., Bergmann, M. & Bungartz, H. J., 1 Dec 2024, In: Machine Learning: Science and Technology. 5, 4, 045015.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Multi-fidelity No-U-Turn Sampling
Ravi, K., Neckel, T. & Bungartz, H. J., 2024, Monte Carlo and Quasi-Monte Carlo Methods - MCQMC 2022. Hinrichs, A., Pillichshammer, F. & Kritzer, P. (eds.). Springer, p. 543-560 18 p. (Springer Proceedings in Mathematics and Statistics; vol. 460).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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MULTILEVEL MONTE CARLO ESTIMATORS FOR DERIVATIVE-FREE OPTIMIZATION UNDER UNCERTAINTY
Menhorn, F., Geraci, G., Seidl, D. T., Marzouk, Y. M., Eldred, M. S. & Bungartz, H. J., 2024, In: International Journal for Uncertainty Quantification. 14, 3, p. 21-65 45 p.Research output: Contribution to journal › Article › peer-review
Open Access