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Reference changes · DOI

and Fan, Z

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 2 open · 2 total · 0 disputed
DOI
10.1063/5.0259061
Notice DOI
10.1063/5.0272090
Event date
2025-03-31
Machine twin
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01One-hop citing occurrences

Correction Open
Trillion-atom molecular dynamics simulations with ab initio accuracy

ref [21] · 2604.24816 · notice #3318 · dispute

Raw extraction · citation context

, Ying, P., Xu, K., Liang, T., Wang, Y., Zeng, Z., Wu, X., Zhou, W., Xiong, S., Chen, S. and Fan, Z. 2024. Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials. Journal of Applied Physics. 135, 16 (Apr. 2024), 161101. https://doi.org/10.1063/5.0200833. [21] Ying, P., Qian, C., Zhao, R., Wang, Y., Xu, K., Ding, F., Chen, S. and Fan, Z. 2025. Advances in modeling complex materials: The rise of neuroevolution potentials. Chemical Physics Reviews. 6, 1 (Mar. 2025), 011310. https://doi.org/10.1063/5.0259061. [22] Schaul, T., Glasmachers, T. and Schmidhuber, J. 2011. High dimensions and heavy tails for natural evolution strategies.

Parser render (TeX stripped for reading; raw above is the evidence)

Ying, P., Xu, K., Liang, T., Wang, Y., Zeng, Z., Wu, X., Zhou, W., Xiong, S., Chen, S. and Fan, Z. 2024. Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials. Journal of Applied Physics. 135, 16 (Apr. 2024), 161101. https://doi.org/10.1063/5.0200833. [21] Ying, P., Qian, C., Zhao, R., Wang, Y., Xu, K., Ding, F., Chen, S. and Fan, Z. 2025. Advances in modeling complex materials: The rise of neuroevolution potentials. Chemical Physics Reviews. 6, 1 (Mar. 2025), 011310. https://doi.org/10.1063/5.0259061. [22] Schaul, T., Glasmachers, T. and Schmidhuber, J. 2011. High dimensions and heavy tails for natural evolution strategies

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