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Pith Integrity · Reference Change Desk · events-only

Reference changes

See every place this corpus cites a work that was later retracted, corrected, withdrawn, or placed under expression of concern: exact quote, event source, and what happened next. No model judges the citation.

A notice on this page means a citing paper's bibliography includes a work with a published scholarly-record event. It is not a judgment on the citing paper.

Scoped to citing paper 2512.14963 · clear

01Events with corpus notices

02One-hop citation notices (secondary index)

Correction Crossref Open
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

cites 10.1038/s41467-023-42992-y · ref [67] · event 2024-01-04 · 2512.14963 · event page · DOI 10.1038/s41467-023-42992-y

Raw extraction · bibliography line

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