Scalable stellar evolution forecasting. Deep learning emulation versus hierarchical nearest-neighbor interpolation

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SEEK ID: https://publications.h-its.org/publications/1939

SEEK ID: https://publications.h-its.org/publications/1939

DOI: 10.1051/0004-6361/202347118

Research Groups: Stellar Evolution Theory

Publication type: Journal

Journal: Astronomy and Astrophysics

Citation: A&A 681:A86

Date Published: 2024

Registered Mode: imported from a bibtex file

Authors: K. Maltsev, F. R. N. Schneider, F. K. Röpke, A. I. Jordan, G. A. Qadir, W. E. Kerzendorf, K. Riedmiller, P. van der Smagt

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Maltsev, K., Schneider, F. R. N., Röpke, F. K., Jordan, A. I., Qadir, G. A., Kerzendorf, W. E., Riedmiller, K., & van der Smagt, P. (2024). Scalable stellar evolution forecasting. In Astronomy & Astrophysics (Vol. 681, p. A86). EDP Sciences. https://doi.org/10.1051/0004-6361/202347118
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Created: 21st Jan 2025 at 20:40

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