Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites.
- DOI
- 10.1371/journal.pone.0353692
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0353692,
title = {Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites.},
author = {Qiu L and Zhang S and Yang Y and Wang M},
year = {2026},
journal = {PloS one},
doi = {10.1371/journal.pone.0353692},
url = {https://doi.org/10.1371/journal.pone.0353692}
}RIS
TY - JOUR TI - Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites. AU - Qiu L AU - Zhang S AU - Yang Y AU - Wang M PY - 2026 JO - PloS one DO - 10.1371/journal.pone.0353692 UR - https://doi.org/10.1371/journal.pone.0353692 ER -
APA
L, Q., S, Z., Y, Y., & M, W. (2026). Graph-theoretic active learning for the closed-loop discovery of stochastic heterogeneous composites.. PloS one. https://doi.org/10.1371/journal.pone.0353692
Source records
- pubmed · retrieved 2026-09-25T04:14:43.795Z