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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Dive into the research topics where Felix Dietrich is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 3 Active
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Pedestrian dynamics prediction for safe and flow-efficient building design
Dietrich, F. (PI), Borrmann, A. (PI) & Čukarska, A. (CoI)
27/11/23 → 26/11/27
Project: Research
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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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Harmonic Artificial Intelligence based on Linear Operators
Dietrich, F. (PI), Bolager, E. (CoI) & Burak, I. (CoI)
1/04/22 → 31/03/28
Project: Research
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Accelerating full waveform inversion by transfer learning
Singh, D. S., Herrmann, L., Sun, Q., Bürchner, T., Dietrich, F. & Kollmannsberger, S., 2025, (Accepted/In press) In: Computational Mechanics. 085044.Research output: Contribution to journal › Article › peer-review
Open Access -
9028 | Uncertainty quantification for wheeled locomotion machine learning predictions on soft soil
Fediukov, V., Huhne, J., Dietrich, F. & Buse, F., 2024, Proceedings of the 21st International and 12th Asia-Pacific Regional Conference of the ISTVS. Yamakawa, J., Ishigami, G., Ozaki, S., Eto, R. & Martelli, M. (eds.). International Society for Terrain-Vehicle Systems, p. 301-309 9 p. (Proceedings of the 21st International and 12th Asia-Pacific Regional Conference of the ISTVS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator
Gallos, I. K., Lehmberg, D., Dietrich, F. & Siettos, C., 1 Jan 2024, In: Chaos. 34, 1, 013151.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
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 Access3 Scopus citations -
On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them
Sroczynski, D. W., Dietrich, F., Koronaki, E. D., Talmon, R., Coifman, R. R., Bollt, E. & Kevrekidis, I. G., 1 Dec 2024, In: PNAS Nexus. 3, 12, pgae494.Research output: Contribution to journal › Article › peer-review
Open Access