Multiscale Mechanisms of Adsorbed Water in Desensitizing Energetic Material NTO: A Combined Computational and Experimental Unraveling

The sensitivity of energetic materials is strongly influenced by environmental humidity, yet the underlying atomic-scale mechanisms remain unclear due to contradictory experimental and computational findings. Herein, we present a multiscale investigation combining machine learning-accelerated molecular dynamics (MD) with near-<i>ab initio</i> accuracy and experimental measurement, focusing on the hygroscopic explosive NTO. Large-scale MD simulations of NTO/H<sub>2</sub>O systems under thermal, impact, and friction stimuli identify two key desensitization mechanisms: an energy-resistance effect, where H<sub>2</sub>O molecules absorb energy and suppress hot spot formation, delaying NTO decomposition, and an interfacial lubrication effect, where water reduces interfacial binding energy and friction, decreasing mechanical energy absorption and increasing the reaction initiation threshold. Experiments via laser-induced plasma spectroscopy (LIPS) further confirm that NTO samples conditioned at higher humidity exhibit reduced impact and friction sensitivities. This work unravels a coupled thermal-mechanical-chemical pathway of moisture-induced desensitization, offering critical insights for understanding its inherent mechanism.

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Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-02-24
DOI
https://doi.org/10.1021/acs.jpclett.5c03936
Primary Topic
Energetic Materials and Combustion
Type
article
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article

Multiscale Mechanisms of Adsorbed Water in Desensitizing Energetic Material NTO: A Combined Computational and Experimental Unraveling

Caimu Wang, Jie Ren, Chuan Xiao, Haohan Sun et al.
The Journal of Physical Chemistry Letters
Energetic Materials and Combustion
article

Multiscale Mechanisms of Adsorbed Water in Desensitizing Energetic Material NTO: A Combined Computational and Experimental Unraveling

Caimu Wang, Jie Ren, Chuan Xiao, Haohan Sun, Guo Wei, Ruibin Liu, Yugui Yao
article en

Abstract

The sensitivity of energetic materials is strongly influenced by environmental humidity, yet the underlying atomic-scale mechanisms remain unclear due to contradictory experimental and computational findings. Herein, we present a multiscale investigation combining machine learning-accelerated molecular dynamics (MD) with near-<i>ab initio</i> accuracy and experimental measurement, focusing on the hygroscopic explosive NTO. Large-scale MD simulations of NTO/H<sub>2</sub>O systems under thermal, impact, and friction stimuli identify two key desensitization mechanisms: an energy-resistance effect, where H<sub>2</sub>O molecules absorb energy and suppress hot spot formation, delaying NTO decomposition, and an interfacial lubrication effect, where water reduces interfacial binding energy and friction, decreasing mechanical energy absorption and increasing the reaction initiation threshold. Experiments via laser-induced plasma spectroscopy (LIPS) further confirm that NTO samples conditioned at higher humidity exhibit reduced impact and friction sensitivities. This work unravels a coupled thermal-mechanical-chemical pathway of moisture-induced desensitization, offering critical insights for understanding its inherent mechanism.

The Journal of Physical Chemistry LettersVol. 17(10)
Beijing Institute of Technology (CN), Frontier Energy (United States) (US), China Academy Of Machinery Science & Technology (China) (CN)
Openalex Percentile: Top 45%
Energetic Materials and Combustion
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