Engineering and Technology

Data-driven pitting evolution prediction for corrosion-resistant alloys by time-series analysis

X. Jiang, Y. Yan, et al.

Discover groundbreaking research by Xue Jiang, Yu Yan, and Yanjing Su that utilizes a data-driven approach with Long Short-Term Memory neural networks to predict free corrosion potential in cobalt-based alloys and duplex stainless steels. This innovative method significantly enhances the forecasting of corrosion behavior over time, surpassing traditional machine learning techniques.

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