Monte Carlo random walk simulation of electron transport in confined porous TiO2 as a promising candidate for photo-electrode of nano-crystalline solar cells

2015 ◽  
Vol 118 (6) ◽  
pp. 064304 ◽  
Author(s):  
M. Javadi ◽  
Y. Abdi
Keyword(s):  
Monte Carlo ◽  
Solar Cells ◽  
Random Walk ◽  
Electron Transport ◽  
Promising Candidate ◽  
Porous Tio2 ◽  
Nano Crystalline ◽  
Photo Electrode ◽  
Random Walk Simulation ◽  
Monte Carlo Random Walk

Adsorption of non-ionic surfactants on organoclays in drilling fluid investigated by molecular descriptors and Monte Carlo random walk simulations

2021 ◽  
Vol 538 ◽  
pp. 148154
Author(s):  
Dina Kania ◽  
Robiah Yunus ◽  
Rozita Omar ◽  
Suraya Abdul Rashid ◽  
Badrul Mohamed Jan ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Random Walk ◽  
Molecular Descriptors ◽  
Drilling Fluid ◽  
Ionic Surfactants ◽  
Monte Carlo Random Walk

Monte Carlo random walk study of recombination and desorption of hydrogen on Si(111)

1985 ◽  
Vol 83 (3) ◽  
pp. 1382-1391 ◽  
Author(s):  
I. NoorBatcha ◽  
Lionel M. Raff ◽  
Donald L. Thompson
Keyword(s):  
Monte Carlo ◽  
Random Walk ◽  
Monte Carlo Random Walk

Kinetic study of the heterogeneous photocatalysis of porous nanocrystalline TiO2 assemblies using a continuous random walk simulation

2014 ◽  
Vol 16 (40) ◽  
pp. 22343-22351 ◽  
Author(s):  
Baoshun Liu ◽  
Xiujian Zhao
Keyword(s):  
Monte Carlo ◽  
Random Walk ◽  
Kinetic Study ◽  
Continuous Time ◽  
Heterogeneous Photocatalysis ◽  
Continuous Time Random Walk ◽  
Nanocrystalline Tio2 ◽  
Continuous Random Walk ◽  
Random Walk Simulation ◽  
Kinetics Of

The Monte Carlo continuous time random walk method was used to study the photocatalytic kinetics of nanocrystalline TiO2 materials in this research.

Performance enhancement of perovskite solar cells using a La-doped BaSnO3 electron transport layer

2017 ◽  
Vol 5 (7) ◽  
pp. 3675-3682 ◽  
Author(s):  
Liangzheng Zhu ◽  
Jiajiu Ye ◽  
Xuhui Zhang ◽  
Haiying Zheng ◽  
Guozhen Liu ◽  
...  
Keyword(s):  
Solar Cells ◽  
Electron Transport ◽  
Performance Enhancement ◽  
Perovskite Solar Cells ◽  
Transport Layer ◽  
Electron Transport Layer ◽  
Promising Candidate ◽  
Doped Materials ◽  
La Doped

The promising candidate La-BaSnO3 provides a novel perspective on the application and investigation of doped materials in PSCs.

scholarly journals ¿Determinísticamente probable o probabilísticamente determinista?

UVserva ◽  
2018 ◽  
Author(s):  
Gerardo Mario Ortigoza Capetillo
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Random Walk ◽  
Harmonic Function ◽  
Heat Equation ◽  
Stochastic Models ◽  
Generating Functions ◽  
Boundary Values ◽  
Partial Differential ◽  
Monte Carlo Random Walk

Este trabajo presenta la revisión de algunos modelos que conocemos como determinísticos o como estocásticos, así como algunas relaciones entre ellos, las cuales resultan interesantes. Vemos cómo las caminatas aleatorias generan algunas ecuaciones diferenciales parciales tales como la ecuación de calor; se presenta la ecuación de Laplace resuelta usando el juego Tour du wino; es decir, simulación Montecarlo para obtener los valores de una función armónica, como los promedios de su valores en la frontera obtenidos por diferentes trayectorias. Se revisan los modelos de Black and Scholes, así como el método de funciones generadoras de probabilidad para mostrar como determinados problemas probabilísticos pueden resolverse usando métodos determinísticos basados en ecuaciones diferenciales ordinarias y parciales.Palabras clave: modelos determinísticos, modelos probabilísticos, Montecarlo, caminatas aleatorias, Black and ScholesAbstract This work presents a review of some deterministic and stochastic models, interesting rela­tionships between them, are also discussed. Random walks give rise to partial differential mo­dels such as the heat equation. A Tour du wino game is introduced to approximate a solution to Laplace equation, here a Monte Carlo simulation is used to obtain the values of an harmonic function as the average of its boundary values using random trajectories. We review the Black & Scholes and the probability generating functions models to show how some probabilistic pro­blems can be solved using deterministics methods (based on ordinary and partial differential equations).Keywords: BDeterministic models; Stochastic models; Monte Carlo; random walk; Black and Scholes

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