Issue 7, 2025

High-nitrogen-content energetic BNn+ (n = 4–16) clusters

Abstract

Nitrogen-rich materials have attracted considerable attention in recent years as potential high-energy-density materials (HEDMs). However, their metastability poses substantial challenges for synthesis under ambient conditions. Here, we employ a novel strategy to explore energetic and structural features of the nitrogen-rich BNn+ (n = 4–16) clusters by doping with the light non-metal boron. A series of boron-doped nitrogen clusters, with nitrogen content ranging from 83% to 96%, were obtained by laser ablation and analyzed via time-of-flight mass spectrometry. The results indicate that the BN6+ cluster is dominant in the mass spectrum, while the BN12+ cluster exhibits the highest abundance after cooling the cluster source with liquid nitrogen. To further confirm the experimental results, extensive structure searches for BNn+ (n = 4–16) clusters are conducted using the CALYPSO method and density functional theory (DFT) calculations. The calculations show that BN6+ (singlet) exhibits a planar [B(NN)3]+ three-branched geometry with D3h symmetry, while BN12+ (singlet) adopts a [(linear-N6)B(N3)2]+ branched geometry with C1 symmetry. Stability analyses reveal the relatively high structural stabilities of BN6+ and BN12+ clusters and agree well with the experimental findings. Notably, the gas-phase enthalpy of formation of the BN12+ cluster is remarkably high, −1385.10 kJ mol−1, suggesting its potential as a high-energy building block for HEDM construction. The present findings enhance the structural diversities of non-metal-doped nitrogen clusters, and offer new perspectives for the rational design and synthesis of nitrogen-rich energetic materials.

Graphical abstract: High-nitrogen-content energetic BNn+ (n = 4–16) clusters

Supplementary files

Article information

Article type
Paper
Submitted
14 Sep 2024
Accepted
26 Nov 2024
First published
27 Nov 2024

Phys. Chem. Chem. Phys., 2025,27, 3567-3573

High-nitrogen-content energetic BNn+ (n = 4–16) clusters

J. Li, M. Chen, K. Liu, K. Ding, H. Xu, W. Zheng and C. Lu, Phys. Chem. Chem. Phys., 2025, 27, 3567 DOI: 10.1039/D4CP03566F

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