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Physics and Astronomy
Physics and Astronomy 论文解读
Physics and Astronomy 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation
Qin Lou, Xuhui Meng, +1
arXiv (Cornell University)
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2020
|
167 citations
The XMM-Newton serendipitous survey. VII. The third XMM-Newton serendipitous source catalogue
S. R. Rosen, N. A. Webb, +38
UCrea (University of Cantabria)
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2015
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167 citations
Chiral Fermions from Manifolds of $G_2$ Holonomy
B. S. Acharya, Edward Witten
ArXiv.org
|
2001
|
166 citations
Cosmological puzzle resolved by stellar feedback in high redshift galaxies
Sergey Mashchenko, Couchman, H. M. P., +1
CERN Bulletin
|
2006
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166 citations
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster, Tristan J. Webb, +12
arXiv (Cornell University)
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2017
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166 citations
Multiple stellar populations in Magellanic Clouds clusters. I. An ordinary feature for intermediate age globulars in the LMC?
A. P. Milone, L. R. Bedin, +2
ArXiv.org
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2008
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165 citations
Proposals on nonperturbative superstring interactions
Luboš Motl
ArXiv.org
|
1997
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165 citations
Reddening and metallicity maps of the Milky Way bulge from VVV and 2MASS II. The complete high resolution extinction map and implications for Bulge studies
O. A. González, M. Rejkuba, +6
arXiv (Cornell University)
|
2012
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165 citations
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method
Shahed Rezaei, Ali Harandi, +3
arXiv (Cornell University)
|
2022
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164 citations
Les Houches 2013: Physics at TeV Colliders: Standard Model Working Group Report
J. M. Butterworth, G. Dissertori, +86
arXiv (Cornell University)
|
2014
|
164 citations
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