Physics and machine learning: mutual benefits

Physics has relied on data-driven discoveries since the Scientific Revolution, exemplified by Kepler’s groundbreaking work based on Tycho Brahe’s precise astronomical observations.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-03-24
DOI
https://doi.org/10.1051/epn/2025102/pdf
Primary Topic
Gaussian Processes and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Physics and machine learning: mutual benefits

Springer Link (Chiba Institute of Technology)
Gaussian Processes and Bayesian Inference
article

Physics and machine learning: mutual benefits

article en

Abstract

Physics has relied on data-driven discoveries since the Scientific Revolution, exemplified by Kepler’s groundbreaking work based on Tycho Brahe’s precise astronomical observations.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 76%
Gaussian Processes and Bayesian Inference
DOISourceOpenAlex
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Physics and machine learning: mutual benefits · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS