An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience

An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience

Highlights A framework combining the citation analysis with topic modeling is designed to construct the knowledge graph of a research field. An extensible tokenizer is designed to improve the universality of the framework, and the performance of topic recognition is superior to that of the tradition...

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Bibliographic Details
Main Authors: Hui-Cong Duan, Long-Xing Lin, Ji-Chun Wang, Tong-Ruo Diao, Sheng-Jie Qiu, Bi-Jun Geng, Jia Shi, Shu Hu, Yang Yang
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Nano-Micro Letters
Subjects:
Nanostructure
Deep learning
Data-driven
Raman
Nanoscience
Online Access:https://doi.org/10.1007/s40820-025-01807-z
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https://doi.org/10.1007/s40820-025-01807-z

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