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Classes | |
| class | CoupledSwitchingTimeDerivativeTempl< is_ad > |
| class | CoupledSwitchingTimeDerivative |
| class | ADCoupledSwitchingTimeDerivative |
Typedefs | |
| template<bool is_ad> | |
| using | CoupledSwitchingTimeDerivativeBase = typename std::conditional< is_ad, ADCoupledTimeDerivative, CoupledTimeDerivative >::type |
| This kernel adds a contribution \( \left( \frac{\partial F_a}{\partial \eta_{ai}} f_a + \frac{\partial F_b}{\partial \eta_{ai}} f_b + ... \right) \frac{\partial \eta_{ai}}{\partial t} \) where \( a,b,.. \) are the phases, \( h_a, h_b,.. \) are the switching functions, \( \eta_{ai} \) is the order parameter that is the nonlinear variable, \( t \) is time, and \( F_a, F_b,.. \) are functions for each phase. More... | |
| using CoupledSwitchingTimeDerivativeBase = typename std::conditional<is_ad, ADCoupledTimeDerivative, CoupledTimeDerivative>::type |
This kernel adds a contribution \( \left( \frac{\partial F_a}{\partial \eta_{ai}} f_a + \frac{\partial F_b}{\partial \eta_{ai}} f_b + ... \right) \frac{\partial \eta_{ai}}{\partial t} \) where \( a,b,.. \) are the phases, \( h_a, h_b,.. \) are the switching functions, \( \eta_{ai} \) is the order parameter that is the nonlinear variable, \( t \) is time, and \( F_a, F_b,.. \) are functions for each phase.
For the grand-potential model susceptibility equation, \( F_a \) etc. are the phase densities.
Definition at line 32 of file CoupledSwitchingTimeDerivative.h.
1.8.14