TY - JOUR
T1 - Numerical simulation of porous silicon morphology using a monotone iterative method
AU - Flores, S.
AU - Jerez, S.
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2019/5
Y1 - 2019/5
N2 - In this work, a convergent monotone iterative system based on finite difference approximations is proposed to solve numerically a novel porous silicon formation model. This model includes chemical, physical and electrical processes involved in the porous growth and is formulated as a weakly coupled parabolic partial differential system. Important properties like nonnegativity, boundedness, stability and convergence of the numerical solution are demonstrated by means of the upper and lower solutions technique. The computational porous silicon formation model is validated by experimental evidence. Numerical simulations of the porous silicon morphology in two dimensions are shown along with the effects of parameters variation.
AB - In this work, a convergent monotone iterative system based on finite difference approximations is proposed to solve numerically a novel porous silicon formation model. This model includes chemical, physical and electrical processes involved in the porous growth and is formulated as a weakly coupled parabolic partial differential system. Important properties like nonnegativity, boundedness, stability and convergence of the numerical solution are demonstrated by means of the upper and lower solutions technique. The computational porous silicon formation model is validated by experimental evidence. Numerical simulations of the porous silicon morphology in two dimensions are shown along with the effects of parameters variation.
KW - Convergence
KW - Monotone method
KW - Numerical solution
KW - Porous silicon formation
KW - Upper and lower solutions
UR - http://www.scopus.com/inward/record.url?scp=85055095883&partnerID=8YFLogxK
U2 - 10.1016/j.cnsns.2018.09.028
DO - 10.1016/j.cnsns.2018.09.028
M3 - Artículo
AN - SCOPUS:85055095883
SN - 1007-5704
VL - 70
SP - 1
EP - 19
JO - Communications in Nonlinear Science and Numerical Simulation
JF - Communications in Nonlinear Science and Numerical Simulation
ER -