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Research Article | Open Access | Just Accepted

Selective laser reduction of graphene oxide reveals the chemical origin of fatigue degradation

Zhehan Xue1,§Yafei Wang1,§Guorui Wang1,2( )

1 CAS Key Laboratory of Mechanical Behavior and Design of Materials, Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China

2 State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Science, Beijing 100190, China

§ Zhehan Xue and Yafei Wang contributed equally to this work.

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Abstract

Laser-induced reduction is widely used to modify graphene oxide, yet the chemical origin of fatigue degradation induced by such processing remains poorly understood. Here, we show that Raman laser irradiation acts not only as a characterization tool but also as a controllable reduction stimulus. Combined Raman and nano-infrared spectroscopy reveal that laser exposure preferentially removes sp3-type oxygen functional groups, particularly epoxide groups, while vacancy-type defects progressively accumulate. Atomic force microscopy-based fatigue experiments further demonstrate that laser-reduced graphene oxide exhibits inferior fatigue resistance compared to oxidized samples. This degradation arises from the combined effects of vacancy accumulation and the loss of epoxide-enabled crack-arresting mechanisms, driving a transition from localized damage to brittle fracture. These findings establish that fatigue reliability in graphene oxide is governed by chemical identity and defect evolution history, rather than defect density alone, highlighting the limitations of single-parameter Raman metrics for predicting mechanical performance in functionalized two-dimensional materials.

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Cite this article:
Xue Z, Wang Y, Wang G. Selective laser reduction of graphene oxide reveals the chemical origin of fatigue degradation. Nano Research, 2026, https://doi.org/10.26599/NR.2026.94908972
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Received: 09 April 2026
Revised: 21 June 2026
Accepted: 26 June 2026
Available online: 26 June 2026

© The Author(s) 2026. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/)