Matrisciano, A.; Franken, T.; Gonzales Mestre, L.C.; Borg, A.; Mauss, F.
Development of a Computationally Efficient Tabulated Chemistry Solver for Internal Combustion Engine Optimization Using Stochastic Reactor Models. Appl. Sci. 2020, 10, 8979.
https://doi.org/10.3390/app10248979
AMA Style
Matrisciano A, Franken T, Gonzales Mestre LC, Borg A, Mauss F.
Development of a Computationally Efficient Tabulated Chemistry Solver for Internal Combustion Engine Optimization Using Stochastic Reactor Models. Applied Sciences. 2020; 10(24):8979.
https://doi.org/10.3390/app10248979
Chicago/Turabian Style
Matrisciano, Andrea, Tim Franken, Laura Catalina Gonzales Mestre, Anders Borg, and Fabian Mauss.
2020. "Development of a Computationally Efficient Tabulated Chemistry Solver for Internal Combustion Engine Optimization Using Stochastic Reactor Models" Applied Sciences 10, no. 24: 8979.
https://doi.org/10.3390/app10248979
APA Style
Matrisciano, A., Franken, T., Gonzales Mestre, L. C., Borg, A., & Mauss, F.
(2020). Development of a Computationally Efficient Tabulated Chemistry Solver for Internal Combustion Engine Optimization Using Stochastic Reactor Models. Applied Sciences, 10(24), 8979.
https://doi.org/10.3390/app10248979