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Physics-informed neural network inference of a strong-field-suppressed mobility law for multi-ion electromigration in concrete
Journal article (Elsevier BV) reporting a physics-informed neural network used to infer a strong-field-suppressed mobility law for multi-ion electromigration in concrete. Published 2027-01-01.
Categories: science-and-space
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
- 6/10
- Urgency
- 1/10
Why it matters
The paper reports a methodological advance for inferring mobility laws relevant to modeling electromigration in concrete.

