viennashe::models Namespace Reference

Namespace containing everything models related. More...

Namespaces
namespace	dd
	This namespace contains models, which are only for the drift diffusion transport model.
namespace	detail
namespace	result_of
	Compiletime evaluation namespace.
namespace	srh

Classes
struct	bandgap_model
	Basic bandgap model interface. More...
class	bandgap_model_const
	A simple constant bandgap model. Gets the bandgap and always returns this value. More...
class	bandgap_model_extended
	An elaborate bandgap model, which accounts for the lattice temperature. More...
struct	bandgap_model_extended_parameters
	Plain old datatype (POD) of parameters for the bandgap_model_extended. More...
class	carrier_mass_full_model
	The full carrier mass model, which uses a Taylor series over lattice temperature. More...
struct	carrier_mass_full_model_parameters
	POD with parameters for the full model. More...
struct	carrier_mass_model
	The carrier mass model interface. More...
class	carrier_mass_simple_model
	The simple (constant) carrier mass model. More...
struct	carrier_mass_simple_model_parameters
	POD with parameters for the simple carrier mass model (constant value model) More...
class	chain
	Implementation of Markov-Chains. More...
struct	const_rate
	A simple constant rate. More...
class	index_out_of_bounds_exception
	Thrown whenever a model finds an index to be out of bounds. More...
class	invalid_parameter_exception
	Thrown whenever an invalid parameter to a model is given. More...
class	invalid_state_exception
	Thrown whenever a markov chain model finds an invalid or non-existing state. More...
class	lineshape_classic
struct	lsf_electron_trap_tag
struct	lsf_forward_tag
struct	lsf_hole_trap_tag
struct	lsf_reverse_tag
class	model_evaluation_exception
	Exception for the case that the evaluation of a model fails. More...
struct	rate_base
	The basic rate interface. More...
class	ssa_solver
	The SSA (Monte Carlo) solver for Markov-Chains The given chain is being referenced and the occupancies p_i of the states are being changed. The resp. occupancies can either be 1.0 (occupied) or 0 (unoccupied)! The solver additionally guarantees that sum_i p_i = 1.0, i.e. only one state is occupied at a time ! More...
class	state_base
	The basic concept of a state in Markov-Chains. More...
class	wkb_oxide_barrier_tunneling
	A functor interface to the WKB tunneling coefficient for oxide barriers. More...

Functions
void	set_chain_to_equilibrium_expectation (chain &c)
	Solves the time averaged set of equilibrium (dt->infty) equations for the given Markov-Chain and sets the respective occupancies The occupancies f_i will be values between zero and one, where sum_i f_i = 1. More...
void	solve_for_expectation_occupancies (chain &c, double dt)
	Solves the time averaged set of equations (including time derivatives) for the occupancies f_i in a given Markov-Chain and sets the resp. occupancies. The occupancies f_i will be values between zero and one, where sum_i f_i = 1. In order to solve the time dependent equations the backward-euler method is used. More...
template<typename DeviceType >
viennashe::models::dd::mobility< DeviceType >	create_mobility_model (DeviceType const &device, viennashe::models::dd::mobility_paramters const &params)
	Creates a new mobility model using the given parameters. More...
template<typename DeviceType >
viennashe::models::dd::mobility< DeviceType >	create_constant_mobility_model (DeviceType const &device, double mu)
	Returns a mobility model, which always yields the same mobility. More...

Detailed Description

Namespace containing everything models related.

Function Documentation

create_constant_mobility_model()

template<typename DeviceType >

viennashe::models::dd::mobility< DeviceType > viennashe::models::create_constant_mobility_model	(	DeviceType const &	device,
		double	mu
	)

Returns a mobility model, which always yields the same mobility.

Parameters

device
mu	The mobility you like the model to yield

Returns

A viennashe::models::dd::mobility model, where all submodels have been disabled

Definition at line 61 of file mobility.hpp.

create_mobility_model()

template<typename DeviceType >

viennashe::models::dd::mobility< DeviceType > viennashe::models::create_mobility_model	(	DeviceType const &	device,
		viennashe::models::dd::mobility_paramters const &	params
	)

Creates a new mobility model using the given parameters.

Parameters

device	The device
params	The mobility model parameters

Returns

A viennashe::models::dd::mobility model

Definition at line 48 of file mobility.hpp.

set_chain_to_equilibrium_expectation()

void viennashe::models::set_chain_to_equilibrium_expectation ( chain &  c )

inline

Solves the time averaged set of equilibrium (dt->infty) equations for the given Markov-Chain and sets the respective occupancies The occupancies f_i will be values between zero and one, where sum_i f_i = 1.

Parameters

c	A valid reference to the chain. The internal state of the given object will be changed

Definition at line 303 of file chain.hpp.

solve_for_expectation_occupancies()

void viennashe::models::solve_for_expectation_occupancies ( chain &  c, double  dt  )

inline

Solves the time averaged set of equations (including time derivatives) for the occupancies f_i in a given Markov-Chain and sets the resp. occupancies. The occupancies f_i will be values between zero and one, where sum_i f_i = 1. In order to solve the time dependent equations the backward-euler method is used.

Parameters

c	A valid reference to the chain. The internal state of the given object will be changed
dt	The finite time step (in seconds)

Definition at line 381 of file chain.hpp.