paper: doi:10.1063/5.0146905

Ingested works. lom_id is the stable key (doi: or arxiv:). OpenAlex/S2/arXiv ids when found; never fabricated.

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:10.1063/5.0146905	10.1063/5.0146905	W4377221266						Deep ensembles vs committees for uncertainty estimation in neural-network force fields: Comparison and application to active learning	2023	The Journal of Chemical Physics	https://pubs.aip.org/aip/jcp/article-pdf/doi/10.1063/5.0146905/17697597/204801_1_5.0146905.pdf	2026-09-02T02:37:09Z	openalex

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