SU2: An Open-Source Suite for Multiphysics Simulation and Design
By T. Economon, F. Palacios, S. Copeland, T. Lukaczyk, Juan José Palacios Alonso. 2016
674 citations recorded by the source corpus.
Subfields: Computational Mechanics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/a19527e08fecbb72408bb58b4a60e1f8c83d73ed
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Joaquim R. Martins
- Gaetan K. W. Kenway
- Charles A. Mader
- Ping He
- Alvaro Sanchez-Gonzalez
- Peter W. Battaglia
- Tobias Pfaff
- Meire Fortunato
In Statistical and Nonlinear Physics
- Joaquim R. Martins
- Gaetan K. W. Kenway
- Charles A. Mader
- Ping He
- Alvaro Sanchez-Gonzalez
- Peter W. Battaglia
Citations in the corpus
- Learning Mesh-Based Simulation with Graph Networks (2020, methodology): “Mesh-based finite element simulations underpin popular methods in structural mechanics [31, 48], aerodynamics [13, 34], electromagnetics [32], geophysics [35, 39], and acoustics [26].”
- Effective adjoint approaches for computational fluid dynamics (2019, methodology): “Albring et al. [28] developed a duality-preserving adjoint method that perfectly inherits the convergence rate of the primal solver and implemented it in an open source solver SU2 [29].”