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Updated: Jan 15, 2026

Electrochemical Impedance Spectroscopy as a Tool for Electrochemical Rate Constant Estimation
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Published on: October 10, 2018

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从EIS中对金属被动性进行分类,使用可解释的机器学习和最小的数据

Sanja Martinez1, Izabela Martinez2, Tomislav Ratković3

  • 1Faculty of Chemical Engineering and Technology, University of Zagreb, Marulićev trg 19, 10000, Zagreb, Croatia. sanja.martinez@fkit.unizg.hr.

Scientific reports
|October 6, 2025
PubMed
概括

我们开发了一种机器学习方法,使用电化学阻抗光谱 (EIS) 数据来诊断金属腐蚀. 这种无专家的方法有效地识别了被动表面状态,这对于材料耐用性至关重要.

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