Christopher C. Pain
Computational Mechanics · 2001–2017
A researcher in the Science corpus: 12 papers; trusts 21 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 44 citations into it; #5,608 of 10,001 by trust here, #3,463 by citations
- Statistical and Nonlinear Physics — 36 citations into it; #8,556 of 10,127 by trust here, #4,820 by citations
- Statistics and Probability — 21 citations into it
- Numerical Analysis — 15 citations into it; #3,164 of 3,586 by trust here, #3,457 by citations
- Environmental Engineering — 12 citations into it
- Atmospheric Science — 11 citations into it; #3,259 of 4,804 by trust here, #4,137 by citations
- Global and Planetary Change — 10 citations into it; #6,659 of 10,225 by trust here, #8,787 by citations
- Mechanical Engineering — 9 citations into it
Whom Christopher C. Pain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gene H. Golub
- Alberto Malinverno
- Saifon Chaturantabut
- Ngoc Cuong Nguyen
- Peter J. Green
- David John Cameron MacKay
- Albert Tarantola
- Christophe Audouze
- James O. Berger
- Danny C. Sorensen
Who trusts Christopher C. Pain overall
- Patrick E. Farrell
- Adrien Loseille
- D. R. Davies
- Fangxin Fang
- Frédéric Alauzet
- James R. Maddison
- T. Bodin
- Dunhui Xiao
- Cian R. Wilson
- Mengwu Guo
Papers from Christopher C. Pain's perspective
Ordered by how strongly the researchers Christopher C. Pain trusts endorse each paper. Same corpus, a different order for every researcher.
- EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
- A ‘best points’ interpolation method for efficient approximation of parametrized functions
- Galerkin Proper Orthogonal Decomposition Methods for a General Equation in Fluid Dynamics (SIAM Journal on Numerical Analysis)
- An efficient reduced‐order modeling approach for non‐linear parametrized partial differential equations
- Application of POD and DEIM on dimension reduction of non-linear miscible viscous fingering in porous media
- Nonlinear Model Reduction via Discrete Empirical Interpolation (SIAM Journal on Scientific Computing)
- Information Theory, Inference, and Learning Algorithms
- Inverse problem theory - and methods for model parameter estimation
- LIII. On lines and planes of closest fit to systems of points in space
- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
Their papers
- Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair (2013) — 92 citations
- A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications (2017) — 126 citations
- Non-intrusive reduced order modelling of the Navier-Stokes equations (2015) — 157 citations
- Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation (2015) — 184 citations
- Anisotropic Mesh Adaptivity and Control Volume Finite Element Methods for Numerical Simulation of Multiphase Flow in Porous Media (2015) — 49 citations
- Study on a large-scale discrete element model for fine particles in a fluidized bed (2012) — 156 citations
- Simulation of Solute Transport Through Fractured Rock: A Higher-Order Accurate Finite-Element Finite-Volume Method Permitting Large Time Steps (2010) — 70 citations
- A POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows (2009) — 86 citations
- Inference of past climate from borehole temperature data using Bayesian reversible jump Markov chain Monte Carlo (2007) — 52 citations
- A mixed finite‐element method for solving the poroelastic Biot equations with electrokinetic coupling (2005) — 47 citations
- Tetrahedral mesh optimisation and adaptivity for steady-state and transient finite element calculations (2001) — 330 citations
- Numerical modelling of gas–solid fluidized beds using the two‐fluid approach (2001) — 46 citations