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Citation notice #8318 · 2026-08-04 00:19:39.429775+00:00

Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization

Correction Crossref Open

cites 10.1038/s41467-023-42992-y, which carries a correction notice dated 2024-01-04. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 67

K. Li, D. Persaud, K. Choudhary, B. DeCost, M. Greenwood, J. Hattrick-Simpers, Exploiting redundancy in large materials datasets for efficient machine learning with less data, Nature Communications 14 (1) (2023) 7283, publisher: Nature Publishing Group.doi:10.1038/s41467-023-42992-y. URLhttps://www.nature.com/articles/s41467-023-42992-y

02Event

Type
Correction
Source
Crossref
Original DOI
10.1038/s41467-023-42992-y
Notice DOI
10.1038/s41467-023-44462-x
Date
2024-01-04
Title
Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less data
Reasons
['Correction']
Work
- (2023) Nature Communications

Schema constants (for re-runners): correction · crossref

03Dispute this notice

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