Active learning-driven global search for neutral gold clusters <i>via</i> neural network potential.
- DOI
- 10.1039/d6cp01444e
- Published
- 2026-07-15
- Container
- Phys Chem Chem Phys
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1039/d6cp01444e,
title = {Active learning-driven global search for neutral gold clusters \<i\>via\</i\> neural network potential.},
author = {Tu Z and Dong G and Chen Y and Li QA and Li X and Zhang S and Li J and Li Y and Guan P.},
year = {2026},
journal = {Phys Chem Chem Phys},
doi = {10.1039/d6cp01444e},
url = {https://doi.org/10.1039/d6cp01444e}
}RIS
TY - JOUR TI - Active learning-driven global search for neutral gold clusters <i>via</i> neural network potential. AU - Tu Z AU - Dong G AU - Chen Y AU - Li QA AU - Li X AU - Zhang S AU - Li J AU - Li Y AU - Guan P. PY - 2026 JO - Phys Chem Chem Phys DO - 10.1039/d6cp01444e UR - https://doi.org/10.1039/d6cp01444e ER -
APA
Z, T., G, D., Y, C., QA, L., X, L., S, Z., J, L., Y, L., & P., G. (2026). Active learning-driven global search for neutral gold clusters <i>via</i> neural network potential.. Phys Chem Chem Phys. https://doi.org/10.1039/d6cp01444e
Source records
- europe-pmc · retrieved 2026-09-25T02:13:23.539Z