First published · Last updated
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.

