CHEMKIN™, a software suite used worldwide in the microelectronics, combustion, and chemical processing industries, is one of the most successful and enduring products to come out of Sandia National Laboratories. CHEMKIN is a set of flexible and powerful tools for incorporating complex chemical kinetics into simulations of reacting flow. Using CHEMKIN, researchers are able to investigate thousands of reaction combinations to develop a comprehensive understanding of a particular process, which might involve multiple chemical species, concentration ranges, and gas temperatures. Since its origins nearly 30 years ago, CHEMKIN has enabled significant strides in the modeling of complex chemical processes, such as combustion. It has become the standard for anyone involved in chemistry modeling and chemically reacting flow modeling. It has also become an important educational tool in chemical engineering, mechanical engineering and chemistry curricula.

References in zbMATH (referenced in 254 articles )

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  1. Liu, Hong; Yu, Bin; Zhang, Bin; Xiang, Yang: On mixing enhancement by secondary baroclinic vorticity in a shock-bubble interaction (2022)
  2. Peng, Han; Atkins, Chay W. C.; Deiterding, Ralf: A solver for simulating shock-induced combustion on curvilinear adaptive meshes (2022)
  3. 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)
  4. Brouzet, D.; Talei, M.; Brear, M. J.; Cuenot, B.: The impact of chemical modelling on turbulent premixed flame acoustics (2021)
  5. Chen, Xinyi; Peng, Wenrui; Gillard, Philippe; Courty, Leo; Sankhe, Mamadou Lamine; Bernard, Stephane; Wu, Yun; Wang, Yuan; Chen, Zheng: Effects of fuel decomposition and stratification on the forced ignition of a static flammable mixture (2021)
  6. Fuse, Azusa; Yamada, Rie; Minamoto, Yuki; Shimura, Masayasu; Tanahashi, Mamoru: A derivation of temperature-based energy equation for LES of isochoric turbulent combustion with FDSGS model (2021)
  7. Millán-Merino, Alejandro; Fernández-Tarrazo, Eduardo; Sánchez-Sanz, Mario: Theoretical and numerical analysis of the evaporation of mono- and multicomponent single fuel droplets (2021)
  8. Sarkar, Sourav; Mukhopadhyay, Achintya; Sen, Swarnendu: The effects of steam and water spray on NO formation in a methane-air counterflow diffusion flame (2021)
  9. Zhang, Peiyu; Park, Ji-Woong; Wu, Bifen; Zhao, Xinyu: Large eddy simulation/thickened flame model simulations of a lean partially premixed gas turbine model combustor (2021)
  10. Acampora, Luigi; Marra, Francesco S.: Numerical algorithms for the parametric continuation of stiff ODEs deriving from the modeling of combustion with detailed chemical mechanisms (2020)
  11. Dietrich, Felix; Kooshkbaghi, Mahdi; Bollt, Erik M.; Kevrekidis, Ioannis G.: Manifold learning for organizing unstructured sets of process observations (2020)
  12. François, Laurent; Dupays, Joël; Davidenko, Dmitry; Massot, Marc: Travelling wave mathematical analysis and efficient numerical resolution for a one-dimensional model of solid propellant combustion (2020)
  13. Gao, Yuan; Dai, Peng; Chen, Zheng: Numerical studies on autoignition and detonation development from a hot spot in hydrogen/air mixtures (2020)
  14. Johnson, Ryan F.; Kercher, Andrew D.: A conservative discontinuous Galerkin discretization for the chemically reacting Navier-Stokes equations (2020)
  15. Katsoulakis, Markos A.; Vilanova, Pedro: Data-driven, variational model reduction of high-dimensional reaction networks (2020)
  16. Li, Hui; Zhao, Tianliang; Li, Jiaxu; Jia, Shuqin; Yang, Dongzheng; Huai, Ying; Sun, Zhigang; Xie, Daiqian; Duo, Liping; Jin, Yuqi: State-to-state chemical kinetic mechanism for HF chemical lasers (2020)
  17. Owen, L. D.; Gao, X.; Guzik, S. M.: Techniques for improving monotonicity in a fourth-order finite-volume algorithm solving shocks and detonations (2020)
  18. Solmaz, Evrim; Bisetti, Fabrizio: Flamelet chemistry model for efficient axisymmetric counterflow flame simulations with realistic nozzle geometries and gravitational body force (2020)
  19. Xie, Wenwen; Xie, Qing; Zhou, Hua; Ren, Zhuyin: An exponential distribution scheme for the two-way coupling in transported PDF method for dilute spray combustion (2020)
  20. Yang, Tianpeng; Wang, Jiangfeng; Yang, Liming; Shu, Chang: Development of multi-component generalized sphere function based gas-kinetic flux solver for simulation of compressible viscous reacting flows (2020)

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