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An active learning framework for the rapid assessment of galvanic corrosion
Engineering and Technologynpj Materials Degradation

An active learning framework for the rapid assessment of galvanic corrosion

A. Venkatraman, R. M. Katona, et al.

Discover an innovative active learning framework developed by Aditya Venkatraman and colleagues at Sandia National Laboratories. This groundbreaking approach optimizes predictions of galvanic corrosion while significantly reducing computational costs. Understand how low-cost surrogate models can help identify optimal environmental and geometric parameters for improved accuracy in cathodic current predictions.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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