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Christopher C. Pain

8 papers hereh-index 8179 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn3
  • cs.CE1
  • cs.LG1
  • math.NA1
  • physics.comp-ph1
  • quant-ph1
same name
  • Christopher C. Pain — 2 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedSolving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries

22 citations · 34 across the 7 of their papers we have counts for

collaborators
Showing 2024 · physics.flu-dynShow all

2 papers · 2 filters

physics.flu-dyn2024★ 22 cited

Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries

Boyang Chen, Claire E. Heaney, Jefferson L. M. A. Gomes +2

This paper solves the discretised multiphase flow equations using tools and methods from machine-learning libraries. The idea comes from the observation that convolutional layers c…

physics.flu-dyn2024★ 7 cited

Neural Physics: Using AI Libraries to Develop Physics-Based Solvers for Incompressible Computational Fluid Dynamics

Boyang Chen, Claire E. Heaney, Christopher C. Pain

Numerical discretisations of partial differential equations (PDEs) can be written as discrete convolutions, which, themselves, are a key tool in AI libraries and used in convolutio…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.