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Local multi-fidelity surrogates for data-efficient parametric studies of combustion problems
An Elsevier journal article published 2026-01-01 about local multi-fidelity surrogate methods intended for data-efficient parametric analysis in combustion research. The supplied excerpt includes only publisher and content-type metadata and provides no study results or 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
The paper presents methodological research that is relevant to researchers performing parametric studies in combustion, as indicated by the title.

