Deep Learning Infrared Holography with Transformer for Crystal Material Characterization-Reference-Cited by-同舟云学术

Deep Learning Infrared Holography with Transformer for Crystal Material Characterization

Published:2024-08-07 Issue:16 Volume:24 Page:6851-6864
ISSN:1528-7483
Container-title:Crystal Growth & Design
language:en
Short-container-title:Crystal Growth & Design

Author:

Li Zijian¹,Huang Haochong¹²^ORCID,Sun Dexin³,Zheng Zhiyuan¹²,Wang Fang³,Panezai Spozmai⁴,Xing Jie¹,Yang Yehua¹,Qiu Kunfeng²

Affiliation:

1. School of Science, China University of Geosciences (Beijing), Beijing 100083, China

2. Frontiers Science Center for Deep-time Digital Earth, China University of Geosciences (Beijing), Beijing 100083, China

3. State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Shanghai 200083, China

4. Institute of Physics, Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University in Toruń, ul. Grudziądzka 5, Toruń 87 100, Poland

Funder

Beijing Association for Science and Technology

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics

PIESAT International Information Technology Limited

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.cgd.4c00919

Reference50 articles.

1. Nanoplastic Analysis by Online Coupling of Raman Microscopy and Field-Flow Fractionation Enabled by Optical Tweezers

2. Microstructural Observations of “Single Crystal” Positive Electrode Materials Before and After Long Term Cycling by Cross-section Scanning Electron Microscopy

3. In-situ laboratory X-ray diffraction applied to assess cement hydration

4. A New Microscopic Principle

5. Free Field of View Infrared Digital Holography for Mineral Crystallization

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