Atomic-Scale Rigidity of NTO Molecular Chains Under Perturbation Investigated Using Deep Learning

The mechanical sensitivity of energetic materials is closely linked to the stability of their microstructures; however, in situ observation of their dynamic response under external mechanical stimuli at the atomic scale remains challenging. Here, we propose a deep-learning-based intelligent analysis...

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Hlavní autoři:	Lingtao Zhan, Tingting Wang, Xiongbai Cao, Jiale Zhu, Huixia Yang, Quanzhen Zhang, Cesare Grazioli, Liwei Liu, Teng Zhang, Yeliang Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-05-01
Edice:	Nanoenergy Advances
Témata:	scanning tunneling microscopy (STM) deep learning 2D materials
On-line přístup:	https://www.mdpi.com/2673-706X/6/2/16
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