Modeling and numerical solution of electrical properties at TiO₂/HClO₄ electrochemical interfaces using parallel computing on CPU and GPU with Python and CUDA C++
DOI:
https://doi.org/10.33414/rtyc.56.86-98.2026Keywords:
Python, CUDA C , minimax optimization, electrical propertiesAbstract
In this study, Python and CUDA C++ code were developed for the numerical determination of electrical properties in electrochemical systems based on TiO2/HClO4. The implemented model integrates the Mott-Schottky, Helmholtz, and Gouy-Chapman approaches using a fitting function designed to describe the semiconductor/electrolyte interface. The Python version was designed for CPU execution using multiprocessing, while the CUDA C++ implementation significantly accelerated calculations through GPU parallelization. The resulting fittings showed high accuracy considering both numerical and instrumental errors, allowing the determination of parameters such as donor concentration (ND), band gap potential (Ufb), electrolyte ionic concentration (C0), reference potential (Uz), Helmholtz plane length (xH), and molarity (M0), consistent with values reported in the literature. The results validate the robustness and versatility of the proposed methodology.
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Copyright (c) 2026 Santiago Décima, Francisco Ángel Filippin, Maria Cecilia del Mar Rodriguez

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