膜
Nafion公司
扩散
材料科学
过程(计算)
化学工程
扩散过程
计算机科学
热力学
化学
工程类
物理化学
创新扩散
物理
生物化学
知识管理
电极
电化学
操作系统
作者
Ivan Malashin,D.S. Daibagya,В С Тынченко,Andrei Gantimurov,Vladimir Nelyub,А. С. Бородулин
出处
期刊:Polymers
[MDPI AG]
日期:2024-04-25
卷期号:16 (9): 1204-1204
被引量:1
标识
DOI:10.3390/polym16091204
摘要
Nafion, a versatile polymer used in electrochemistry and membrane technologies, exhibits complex behaviors in saline environments. This study explores Nafion membrane's IR spectra during soaking and subsequent drying processes in salt solutions at various concentrations. Utilizing the principles of Fick's second law, diffusion coefficients for these processes are derived via exponential approximation. By harnessing machine learning (ML) techniques, including the optimization of neural network hyperparameters via a genetic algorithm (GA) and leveraging various regressors, we effectively pinpointed the optimal model for predicting diffusion coefficients. Notably, for the prediction of soaking coefficients, our model is composed of layers with 64, 64, 32, and 16 neurons, employing ReLU, ELU, sigmoid, and ELU activation functions, respectively. Conversely, for drying coefficients, our model features two hidden layers with 16 and 12 neurons, utilizing sigmoid and ELU activation functions, respectively.
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