A Siamese neural network framework for glass transition recognition-Reference-Cited by-同舟云学术

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A Siamese neural network framework for glass transition recognition

Published:2024 Issue:10 Volume:20 Page:2400-2406
ISSN:1744-683X
Container-title:Soft Matter
language:en
Short-container-title:Soft Matter

Author:

Osiecka-Drewniak Natalia¹^ORCID,Deptuch Aleksandra¹^ORCID,Urbańska Magdalena²,Juszyńska-Gałązka Ewa¹³^ORCID

Affiliation:

1. Institute of Nuclear Physics Polish Academy of Sciences, PL-31342 Krakow, Poland

2. Institute of Chemistry, Military University of Technology, PL-00908 Warsaw, Poland

3. Research Centre for Thermal and Entropic Science, Graduate School of Science, Osaka University, Osaka 565-0871, Japan

Abstract

A Siamese neural network, a deep learning technique, was utilized to distinguish selected liquid crystal phases (antiferroelectric smectic CA*, smectic I, and smectic G) from their corresponding glasses.

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/SM/D3SM01593A

Reference37 articles.

1. C. C.Aggarwal , Neural Networks and Deep Learning , Springer International Publishing , 2023 , 10.1007/978-3-031-29642-0

2. Deep learning in neural networks: An overview

3. Convolutional neural networks: an overview and application in radiology

4. Machine learning phases of matter

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