ThermoElectric2D¶

<meta solver="ThermoElectric2D">¶

Corresponding Python class: meta.shockley.ThermoElectric2D.

Solver performing thermo-electric calculations without the optical part in Cartesian 2D geometry.

This solver performs under-threshold thermo-electrical computations. It computes electric current flow and temperature distribution in a self-consistent loop until desired convergence is reached.

Attributes:

name (required) – Solver name.

Contents:

<geometry>¶

Geometry settings for all solvers.

Attributes:

thermal (required) – Geometry used by the thermal solver. (Cartesian2D geometry)
electrical (required) – Geometry used by the electrical solver. (Cartesian2D geometry)

<mesh>¶

Mesh settings for all solvers.

Attributes:

thermal (required) – Mesh used by the thermal solver. (mesh)
electrical (required) – Mesh used by the electrical solver. (mesh)
empty-elements – Should empty regions (e.g. air) be included into electrical computations? (default, include, or exclude, default is default)

<voltage>¶: Voltage boundary conditions. See subsection Boundary conditions.

<temperature>¶: Temperature boundary conditions. See subsection Boundary conditions.

<heatflux>¶: Heat Flux boundary conditions. See subsection Boundary conditions.

<convection>¶

Convective boundary conditions. See subsection Boundary conditions.

This boundary condition does not have value attribute. Use coeff for convection coefficient and ambient for ambient temperature instead.

<radiation>¶

Radiative boundary conditions. See subsection Boundary conditions.

This boundary condition does not have value attribute. Use emissivity for surface emissivity and ambient for ambient temperature instead.

<junction>¶

Configuration of the effective model of p-n junction.

Attributes:

beta# – Junction coefficients. This is an inverse of the junction thermal voltage. (float (1/V))
js# – Reverse bias current densities. (float (A/m²))
pnjcond – Initial vertical conductivity of the junctions. (float (S/m), default 5.0 S/m)

<contacts>¶

Properties of the contact layers.

Attributes:

pcond – p-contact conductivity. (float (S/m), default 5.0 S/m)
ncond – n-contact conductivity. (float (S/m), default 50.0 S/m)

<loop>¶

Configuration of the self-consistent loop.

Attributes:

tfreq – Number of electrical iterations per single thermal step. As temperature tends to converge faster, it is reasonable to repeat thermal solution less frequently. (int, default 6)
inittemp – Initial temperature used for the first computation. (float (K), default 300 K)
maxterr – Maximum allowed temperature error. (float (K), default 0.05 K)
maxcerr – Maximum allowed current density error. (float (%), default 0.05 %)

<tmatrix>¶

Matrix configuration for the thermal solver.

Attributes:

algorithm – Algorithm used for solving set of linear positive-definite equations. (cholesky, gauss, or iterative, default is cholesky)

<iterative>¶

Parameters for iterative matrix solver. PLaSK uses NSPCG package for performing iterations. Please refer to its documentation for explanation of most of the settings.

Attributes:

maxit – Maximum number of iterations. (int, default 1000)
maxerr – Maximum iteration error. (float, default 1e-6)
noconv – Desired behavior if the iterative solver does not converge. (error, warning, or continue, default is warning)
accelerator – Accelerator used for iterative matrix solver. (cg, si, sor, srcg, srsi, basic, me, cgnr, lsqr, odir, omin, ores, iom, gmres, usymlq, usymqr, landir, lanmin, lanres, cgcr, or bcgs, default is cg)
preconditioner – Preconditioner used for iterative matrix solver. (rich, jac, ljac, ljacx, sor, ssor, ic, mic, lsp, neu, lsor, lssor, llsp, lneu, bic, bicx, mbic, or mbicx, default is ic)
nfact – This number initializes the frequency of partial factorizations. It specifies the number of linear system evaluations between factorizations. The default value is 1, which means that a factorization is performed at every iteration. (int, default 10)
ndeg – Degree of the polynomial to be used for the polynomial preconditioners. (int, default 1)
lvfill – Level of fill-in for incomplete Cholesky preconditioners. Increasing this value will result in more accurate factorizations at the expense of increased memory usage and factorization time. (int, default 0)
ltrunc – Truncation bandwidth to be used when approximating the inverses of matrices with dense banded matrices. An increase in this value means a more accurate factorization at the expense of increased storage. (int, default 0)
omega – Relaxation parameter. (float, default 1.0)
nsave – The number of old vectors to be saved for the truncated acceleration methods. (int, default 5)
nrestart – The number of iterations between restarts for the restarted acceleration methods. (int, default 100000)

Preconditioner choices:¶
`rich`	Richardson’s method
`jac`	Jacobi method
`ljac`	Line Jacobi method
`ljacx`	Line Jacobi method (approx. inverse)
`sor`	Successive Overrelaxation
`ssor`	Symmetric SOR (can be used only with SOR accelerator)
`ic`	Incomplete Cholesky (default)
`mic`	Modified Incomplete Cholesky
`lsp`	Least Squares Polynomial
`neu`	Neumann Polynomial
`lsor`	Line SOR
`lssor`	Line SSOR
`llsp`	Line Least Squares Polynomial
`lneu`	Line Neumann Polynomial
`bic`	Block Incomplete Cholesky (ver. 1)
`bicx`	Block Incomplete Cholesky (ver. 2)
`mbic`	Modified Block Incomplete Cholesky (ver. 1)
`mbicx`	Modified Block Incomplete Cholesky (ver. 2)

Accelerator choices:¶
`cg`	Conjugate Gradient acceleration (default)
`si`	Chebyshev acceleration or Semi-Iteration
`sor`	Successive Overrelaxation (can use only SOR preconditioner)
`srcg`	Symmetric Successive Overrelaxation Conjugate Gradient Algorithm (can use only SSOR preconditioner)
`srsi`	Symmetric Successive Overrelaxation Semi-Iteration Algorithm (can use only SSOR preconditioner)
`basic`	Basic Iterative Method
`me`	Minimal Error Algorithm
`cgnr`	Conjugate Gradient applied to the Normal Equations
`lsqr`	Least Squares Algorithm
`odir`	ORTHODIR, a truncated/restarted method useful for nonsymmetric systems of equations
`omin`	ORTHOMIN, a common truncated/restarted method used for nonsymmetric systems
`ores`	ORTHORES, another truncated/restarted method for nonsymmetric systems
`iom`	Incomplete Orthogonalization Method
`gmres`	Generalized Minimal Residual Method
`usymlq`	Unsymmetric LQ
`usymqr`	Unsymmetric QR
`landir`	Lanczos/ORTHODIR
`lanmin`	Lanczos/ORTHOMIN or Biconjugate Gradient Method
`lanres`	Lanczos/ORTHORES or “two-sided” Lanczos Method
`cgcr`	Constrained Generalized Conjugate Residual Method
`bcgs`	Biconjugate Gradient Squared Method

<ematrix>¶

Matrix configuration for the electrical solver.

Attributes:

algorithm – Algorithm used for solving set of linear positive-definite equations. (cholesky, gauss, or iterative, default is cholesky)

<iterative>

Parameters for iterative matrix solver. PLaSK uses NSPCG package for performing iterations. Please refer to its documentation for explanation of most of the settings.

Attributes:

maxit – Maximum number of iterations. (int, default 1000)
maxerr – Maximum iteration error. (float, default 1e-6)
noconv – Desired behavior if the iterative solver does not converge. (error, warning, or continue, default is warning)
accelerator – Accelerator used for iterative matrix solver. (cg, si, sor, srcg, srsi, basic, me, cgnr, lsqr, odir, omin, ores, iom, gmres, usymlq, usymqr, landir, lanmin, lanres, cgcr, or bcgs, default is cg)
preconditioner – Preconditioner used for iterative matrix solver. (rich, jac, ljac, ljacx, sor, ssor, ic, mic, lsp, neu, lsor, lssor, llsp, lneu, bic, bicx, mbic, or mbicx, default is ic)
nfact – This number initializes the frequency of partial factorizations. It specifies the number of linear system evaluations between factorizations. The default value is 1, which means that a factorization is performed at every iteration. (int, default 10)
ndeg – Degree of the polynomial to be used for the polynomial preconditioners. (int, default 1)
lvfill – Level of fill-in for incomplete Cholesky preconditioners. Increasing this value will result in more accurate factorizations at the expense of increased memory usage and factorization time. (int, default 0)
ltrunc – Truncation bandwidth to be used when approximating the inverses of matrices with dense banded matrices. An increase in this value means a more accurate factorization at the expense of increased storage. (int, default 0)
omega – Relaxation parameter. (float, default 1.0)
nsave – The number of old vectors to be saved for the truncated acceleration methods. (int, default 5)
nrestart – The number of iterations between restarts for the restarted acceleration methods. (int, default 100000)

Preconditioner choices:¶
`rich`	Richardson’s method
`jac`	Jacobi method
`ljac`	Line Jacobi method
`ljacx`	Line Jacobi method (approx. inverse)
`sor`	Successive Overrelaxation
`ssor`	Symmetric SOR (can be used only with SOR accelerator)
`ic`	Incomplete Cholesky (default)
`mic`	Modified Incomplete Cholesky
`lsp`	Least Squares Polynomial
`neu`	Neumann Polynomial
`lsor`	Line SOR
`lssor`	Line SSOR
`llsp`	Line Least Squares Polynomial
`lneu`	Line Neumann Polynomial
`bic`	Block Incomplete Cholesky (ver. 1)
`bicx`	Block Incomplete Cholesky (ver. 2)
`mbic`	Modified Block Incomplete Cholesky (ver. 1)
`mbicx`	Modified Block Incomplete Cholesky (ver. 2)

Accelerator choices:¶
`cg`	Conjugate Gradient acceleration (default)
`si`	Chebyshev acceleration or Semi-Iteration
`sor`	Successive Overrelaxation (can use only SOR preconditioner)
`srcg`	Symmetric Successive Overrelaxation Conjugate Gradient Algorithm (can use only SSOR preconditioner)
`srsi`	Symmetric Successive Overrelaxation Semi-Iteration Algorithm (can use only SSOR preconditioner)
`basic`	Basic Iterative Method
`me`	Minimal Error Algorithm
`cgnr`	Conjugate Gradient applied to the Normal Equations
`lsqr`	Least Squares Algorithm
`odir`	ORTHODIR, a truncated/restarted method useful for nonsymmetric systems of equations
`omin`	ORTHOMIN, a common truncated/restarted method used for nonsymmetric systems
`ores`	ORTHORES, another truncated/restarted method for nonsymmetric systems
`iom`	Incomplete Orthogonalization Method
`gmres`	Generalized Minimal Residual Method
`usymlq`	Unsymmetric LQ
`usymqr`	Unsymmetric QR
`landir`	Lanczos/ORTHODIR
`lanmin`	Lanczos/ORTHOMIN or Biconjugate Gradient Method
`lanres`	Lanczos/ORTHORES or “two-sided” Lanczos Method
`cgcr`	Constrained Generalized Conjugate Residual Method
`bcgs`	Biconjugate Gradient Squared Method