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Explainable machine learning prediction of corrosion inhibition efficiency from molecular descriptors using virtual sample generation

IFHAN published a journal article on 2026-09-28 reporting use of explainable machine learning to predict corrosion inhibition efficiency from molecular descriptors with virtual sample generation. The supplied source fields list only the publisher and content type and provide no additional study details.

Categories: science-and-space, technology

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
6/10
Geographic reach
1/10
Global importance
2/10
Impact magnitude
2/10
Positivity
5/10
Urgency
1/10

Why it matters

This item documents a journal article presenting ML methods applied to corrosion inhibition efficiency.

Sources

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