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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SDG 7 Affordable and Clean Energy
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Dive into the research topics where Philipp Horn 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
- 1 Finished
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UNRAVEL: Unraveling Neural Networks with Structure-Preserving Computing
Koren, B. (Project member), Portegies, J. W. (Project member), Toschi, F. (Project member), Portegies Zwart, S. F. (Project member), Corbetta, A. (Project member), Horn, P. (Project member), Ortali, G. (Project member), Saz Ulibarrena, V. (Project member), Schilders, W. H. A. (Project Manager), Shalova, A. (Project member), Ravelonanosy, M. (Project member) & Peletier, M. A. (Project member)
4/09/20 → 30/06/26
Project: Second tier
Research output
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Structure-Preserving Neural Networks for Hamiltonian Systems
Horn, P., 20 May 2026, Eindhoven: Eindhoven University of Technology. 109 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile119 Downloads (Pure) -
A generalized framework of neural networks for Hamiltonian systems
Horn, P. (Corresponding author), Saz Ulibarrena, V., Koren, B. & Portegies Zwart, S., 15 Jan 2025, In: Journal of Computational Physics. 521, 18 p., 113536.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Link opens in a new tab Citations (Scopus)114 Downloads (Pure) -
Improved Generalization of Symplectic Neural Networks for Hamiltonian Systems
Horn, P. (Corresponding author) & Koren, B., 25 Apr 2025, Numerical Mathematics and Advanced Applications ENUMATH 2023, Volume 1: European Conference, September 4-8, Lisbon, Portugal. Sequeira, A., Silvestre, A., Valtchev, S. S. & Janela, J. (eds.). Cham: Springer, p. 465-472 8 p. (Lecture Notes in Computational Science and Engineering (LNCSE); vol. 153).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks
Saz Ulibarrena, V. (Corresponding author), Horn, P., Portegies Zwart, S., Sellentin, E., Koren, B. & Cai, M. X., 1 Jan 2024, In: Journal of Computational Physics. 496, 17 p., 112596.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)133 Downloads (Pure) -
A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks
Saz Ulibarrena, V., Horn, P., Portegies Zwart, S., Sellentin, E., Koren, B. & Cai, M. X., 31 Oct 2023, arXiv.org.Research output: Working paper › Preprint › Professional
Open AccessFile51 Downloads (Pure)
Courses
Thesis
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Inclusion of Physics Constraints in Neural Network Surrogate Models for Fusion Simulation
Horn, P. (Author), Koren, B. (Supervisor 1), Citrin, J. (Supervisor 2), Haasdonk, B. (External coach), Anthonissen, M. J. H. (Supervisor 2) & van de Plassche, K. L. (External coach), 28 May 2020Student thesis: Master
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