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Universidad de Londres

Mexico

14 papers here81 citations across 14
fields
  • gr-qc7
  • econ.EM2
  • cs.CL1
  • hep-ex1
  • hep-ph1
  • nucl-ex1
  • physics.flu-dyn1
ROR 054v4yq51OpenAlex

affiliations via OpenAlex

most citedGWTC-4.0: Updating the Gravitational-Wave Transient Catalog with Observations from the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run

38 citations

researchers with a paper here
  • D. Chatterjee3 profiles14 · h 55
  • H. Chen13 · h 45
  • M. Piendibene2 profiles13
  • T. Mishra3 profiles13
  • A. Chen12 · h 24
  • C. Gray5 profiles12
  • J. George8 profiles12 · h 58
  • S. J. Jadhav5 profiles12
  • Takahiro Yamamoto2 profiles11
  • M. Trad Nery4 profiles9
  • P. Fritschel4 profiles9 · h 104
  • Yu Sato2 profiles9
collaborating institutions
  • University of BirminghamGB9 papers
  • Gran Sasso Science InstituteIT8 papers
  • Institute for High Energy PhysicsES8 papers
  • Lomonosov Moscow State UniversityRU8 papers
  • Stony Brook UniversityUS8 papers
  • University of California SystemUS8 papers
  • University of Milano-BicoccaIT8 papers
  • American UniversityUS7 papers
  • Australian National UniversityAU7 papers
  • Australian Regenerative Medicine InstituteAU7 papers
  • Bard CollegeUS7 papers
  • Bar-Ilan UniversityIL7 papers
Showing physics.flu-dynShow all

1 paper · 1 filter

physics.flu-dyn2026

An Interpretable Convolutional Neural Network Framework for Fluid Dynamics

Kwame Agyei-Baah, Muhammad Rizwanur Rahman, E. R. Smith

Modelling fluid dynamics with machine learning (ML) has advanced rapidly, yet most data driven approaches remain opaque because they rely on complex architectures to capture nonlin…

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