Julien Cortial

Statistical and Nonlinear Physics · 2009–2014

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 42 citations into it; #1,733 of 10,127 by trust here, #2,158 by citations
• Computational Mechanics — 35 citations into it; #4,264 of 10,001 by trust here, #4,178 by citations
• Statistics and Probability — 23 citations into it; #3,882 of 12,932 by trust here, #3,177 by citations
• Numerical Analysis — 12 citations into it
• Control and Systems Engineering — 6 citations into it; #5,069 of 8,257 by trust here, #6,083 by citations
• Mechanics of Materials — 6 citations into it

Whom Julien Cortial trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Charbel Farhat
2. David Amsallem
3. Ngoc Cuong Nguyen
4. Martin A. Grepl
5. Karen E. Willcox
6. Anthony T. Patera
7. Michael Hinze
8. Jaime Peraire
9. Kevin T. Carlberg
10. Thuan Lieu

Who trusts Julien Cortial overall

1. Charbel Farhat
2. David Amsallem
3. Kevin T. Carlberg
4. Saifon Chaturantabut
5. Philip Avery
6. Steven L. Brunton
7. Toni Lassila
8. Todd Chapman
9. Andrea Manzoni
10. Kookjin Lee

Papers from Julien Cortial's perspective

Ordered by how strongly the researchers Julien Cortial trusts endorse each paper. Same corpus, a different order for every researcher.

1. An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
2. Balanced Model Reduction via the Proper Orthogonal Decomposition
3. EFFICIENT REDUCED-BASIS TREATMENT OF NONAFFINE AND NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS
4. A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
5. Proper Orthogonal Decomposition Surrogate Models for Nonlinear Dynamical Systems: Error Estimates and Suboptimal Control
6. REDUCED BASIS METHOD FOR FINITE VOLUME APPROXIMATIONS OF PARAMETRIZED LINEAR EVOLUTION EQUATIONS
7. Reliable Real-Time Solution of Parametrized Partial Differential Equations: Reduced-Basis Output Bound Methods
8. Unsteady Flow Sensing and Estimation via the Gappy Proper Orthogonal Decomposition
9. Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space (SIAM Journal on Scientific Computing)
10. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code

Their papers

• A method for interpolating on manifolds structural dynamics reduced‐order models (2009) — 257 citations
• The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows (2012) — 656 citations
• Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy‐based mesh sampling and weighting for computational efficiency (2014) — 372 citations