pyJac

pyJac is a Python package that generates source code used to analytically calculate chemical kinetics Jacobian matrices, customized for a particular model/reaction mechanism.

Keywords for this software

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Abdelsamie, Abouelmagd; Lartigue, Ghislain; Frouzakis, Christos E.; Thévenin, Dominique: The Taylor-Green vortex as a benchmark for high-fidelity combustion simulations using low-Mach solvers (2021)
  2. Kannan, Jeevananthan; Gadalla, Mahmoud; Tekgül, Bulut; Karimkashi, Shervin; Kaario, Ossi; Vuorinen, Ville: Large-eddy simulation of tri-fuel ignition: diesel spray-assisted ignition of lean hydrogen-methane-air mixtures (2021)
  3. Chi, Cheng; Abdelsamie, Abouelmagd; Thévenin, Dominique: A directional ghost-cell immersed boundary method for incompressible flows (2020)
  4. Johnson, Ryan F.; Kercher, Andrew D.: A conservative discontinuous Galerkin discretization for the chemically reacting Navier-Stokes equations (2020)
  5. Hernández Pérez, Francisco E.; Mukhadiyev, Nurzhan; Xu, Xiao; Sow, Aliou; Lee, Bok Jik; Sankaran, Ramanan; Im, Hong G.: Direct numerical simulations of reacting flows with detailed chemistry using many-core/GPU acceleration (2018)
  6. Niemeyer, Kyle E.; Curtis, Nicholas J.; Sung, Chih-Jen: \textttpyJac: analytical Jacobian generator for chemical kinetics (2017)