Single-Core Multiscale Residual Network for the Super Resolution of Liquid Metal Specimen Images

Single-Core Multiscale Residual Network for the Super Resolution of Liquid Metal Specimen Images

In a gravity-free or microgravity environment, liquid metals without crystalline nuclei achieve a deep undercooling state. The resulting melts exhibit unique properties, and the research of this phenomenon is critical for exploring new metastable materials. Owing to the rapid crystallization rates o...

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Bibliographic Details
Main Authors: Keqing Ning, Zhihao Zhang, Kai Han, Siyu Han, Xiqing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Machine Learning and Knowledge Extraction
Subjects:
liquid metal specimen photographs
super resolution
convolutional neural network
multiscale feature fusion
residual learning
Online Access:https://www.mdpi.com/2504-4990/3/2/23

Internet

https://www.mdpi.com/2504-4990/3/2/23

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