28 citations
2 papers
math.NA2020★ 28 cited
Automatic differentiation for solid mechanics
Andrea Vigliotti, Ferdinando Auricchio
Automatic differentiation (AD) is an ensemble of techniques that allow to evaluate accurate numerical derivatives of a mathematical function expressed in a computer programming lan…
physics.flu-dyn2015★ 22 cited
An SMLD joint PDF model for turbulent non-premixed combustion using the flamelet progress-variable approach
Alessandro Coclite, Giuseppe Pascazio, Pietro De Palma +2
This paper provides an improved flamelet/progress variable (FPV) model for the simulation of turbulent combustion, employing the statistically most likely distribution (SMLD) appro…