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Machine learning: science and technology

Additional searchable ISSN (electronic): 2632-2153

Institute of Physics Publishing, United Kingdom

Scopus rating (2023): CiteScore 9.1 SJR 1.506 SNIP 1.403

Indexed in DOAJ

Journal

Titles	Machine learning: science and technology
Additional searchable titles	Machine learning-Science and technology
Additional searchable ISSN (electronic)	2632-2153
Publisher	Institute of Physics Publishing
Country/Territory	United Kingdom
ZDB-ID	3017004-7

Keywords

ASJC Scopus subject areas

Library keywords

004 Computer science
620 Engineering and allied operations
621 Applied physics

Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness

Suarez Cardona, J. E., Hofmann, P. A. & Hecht, M., 1 Sept 2024, In: Machine learning: science and technology. 5, 3, 035029.

Research output: Contribution to journal › Research article › Contributed › peer-review

Training-free hyperparameter optimization of neural networks for electronic structures in matter

Fiedler, L., Hoffmann, N., Mohammed, P., Popoola, G. A., Yovell, T., Oles, V. & Austin Ellis, J. & 2 others, Rajamanickam, S. & Cangi, A., 1 Dec 2022, In: Machine learning: science and technology. 3, 4, 045008.

Research output: Contribution to journal › Research article › Contributed › peer-review

Inverse Dirichlet weighting enables reliable training of physics informed neural networks

Maddu, S., Sturm, D., Mueller, C. L. & Sbalzarini, I. F., 15 Feb 2022, In: Machine learning: science and technology. 3, 1, 22 p., 015026.

Research output: Contribution to journal › Research article › Contributed › peer-review

View all research output (3)

Research Portal of the TU Dresden

Keywords

ASJC Scopus subject areas

Library keywords

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