An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience.
- DOI
- 10.1007/s40820-025-01807-z
- Published
- 2025 Jun 13
- Container
- Nano-micro letters
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s40820-025-01807-z,
title = {An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience.},
author = {Duan HC and Lin LX and Wang JC and Diao TR and Qiu SJ and Geng BJ and Shi J and Hu S and Yang Y},
year = {2025},
journal = {Nano-micro letters},
doi = {10.1007/s40820-025-01807-z},
url = {https://doi.org/10.1007/s40820-025-01807-z}
}RIS
TY - JOUR TI - An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience. AU - Duan HC AU - Lin LX AU - Wang JC AU - Diao TR AU - Qiu SJ AU - Geng BJ AU - Shi J AU - Hu S AU - Yang Y PY - 2025 JO - Nano-micro letters DO - 10.1007/s40820-025-01807-z UR - https://doi.org/10.1007/s40820-025-01807-z ER -
APA
HC, D., LX, L., JC, W., TR, D., SJ, Q., BJ, G., J, S., S, H., & Y, Y. (2025). An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience.. Nano-micro letters. https://doi.org/10.1007/s40820-025-01807-z
Source records
- pubmed · retrieved 2026-09-26T09:20:40.601Z