What is it about?
Quasi-localized vibrations (QLVs) are crucial in determining the material properties of glasses. However, the relations between the amorphous structures and QLVs remain poorly understood. We have, for the first time, clarified the structural origin of QLVs using a purely data-driven approach.
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Why is it important?
We utilized a machine-learning method that combines convolutional neural networks (CNNs) with gradient-weighted class activation mapping (Grad-CAM) to extract glass-like and liquid-like structures within an amorphous configuration. Unlike conventional handcrafted order parameters that are tailored to specific systems, our method shows broader applicability across different systems. More importantly, this paper is the first work to directly demonstrate that quasi-localized vibrations originate from liquid-like regions in glasses.
Perspectives
I hope this article helps people to understand the structural origin of anomalous behaviors (especially the quasi-localized vibrations) of glasses.
MIN LIU
Read the Original
This page is a summary of: Quasi-localized vibrations arise from liquid-like structures in glasses: Insights from deep neural networks, Journal of Applied Physics, July 2025, American Institute of Physics,
DOI: 10.1063/5.0281935.
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