paper: doi:10.1016/j.pecs.2022.101010
Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository
This data as json
| lom_id | doi | openalex | s2_paper_id | arxiv | pmid | pmcid | acl | title | year | venue | oa_url | ingested_ts | source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| doi:10.1016/j.pecs.2022.101010 | 10.1016/j.pecs.2022.101010 | W4224994116 | Combustion machine learning: Principles, progress and prospects | 2022 | Progress in Energy and Combustion Science | https://doi.org/10.1016/j.pecs.2022.101010 | 2026-09-02T02:37:09Z | openalex |