Ambient-Stable Polymeric Nitrogen Achieved through Multi-Stage Computational Design

Abstract The four-decade quest for synthesizing ambient-stable polymeric nitrogen, a promising high-energy-density material, remains an unsolved challenge in materials science. We develop a multi-stage computational strategy employing density functional tight-binding-based rapid screening combined with density functional theory refinement and global structure searching, effectively bridging computational efficiency with quantum accuracy. This integrated approach identifies four novel polymeric nitrogen phases ( Fddd , P 3221, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>I</mml:mi> <mml:mover accent="true"> <mml:mn>4</mml:mn> <mml:mo stretchy="false">¯</mml:mo> </mml:mover> <mml:mi>m</mml:mi> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> , and P 6522) that are thermodynamically stable at ambient pressure. Remarkably, the helical P 6522 configuration demonstrates exceptional thermal resilience up to 1500 K, representing a predicted polymeric nitrogen structure that maintains stability under both atmospheric pressure and high-temperature extremes. Our methodology establishes a paradigm-shifting framework for the accelerated discovery of metastable energetic materials, resolving critical bottlenecks in theoretical predictions while providing experimentally actionable targets for polymeric nitrogen synthesis.

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Publication Details

Journal
Chinese Physics Letters
Published
2025-05-26
DOI
https://doi.org/10.1088/0256-307x/42/7/070708
Citations
1
Primary Topic
Advanced Polymer Synthesis and Characterization
Type
article
Field-Weighted Citation Impact
0.94
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article

Ambient-Stable Polymeric Nitrogen Achieved through Multi-Stage Computational Design

Jiani 佳妮 Lin 林, Jianfu 建福 Li 李, Yong 勇 Liu 刘, Jianan 嘉男 Yuan 袁 et al.
1 citations
Chinese Physics Letters
Advanced Polymer Synthesis and Characterization
0.94
article

Ambient-Stable Polymeric Nitrogen Achieved through Multi-Stage Computational Design

Jiani 佳妮 Lin 林, Jianfu 建福 Li 李, Yong 勇 Liu 刘, Jianan 嘉男 Yuan 袁, Xiaoli 晓丽 Wang 王
article en
1 citations

Abstract

Abstract The four-decade quest for synthesizing ambient-stable polymeric nitrogen, a promising high-energy-density material, remains an unsolved challenge in materials science. We develop a multi-stage computational strategy employing density functional tight-binding-based rapid screening combined with density functional theory refinement and global structure searching, effectively bridging computational efficiency with quantum accuracy. This integrated approach identifies four novel polymeric nitrogen phases ( Fddd , P 3221, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mi>I</mml:mi> <mml:mover accent="true"> <mml:mn>4</mml:mn> <mml:mo stretchy="false">¯</mml:mo> </mml:mover> <mml:mi>m</mml:mi> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> , and P 6522) that are thermodynamically stable at ambient pressure. Remarkably, the helical P 6522 configuration demonstrates exceptional thermal resilience up to 1500 K, representing a predicted polymeric nitrogen structure that maintains stability under both atmospheric pressure and high-temperature extremes. Our methodology establishes a paradigm-shifting framework for the accelerated discovery of metastable energetic materials, resolving critical bottlenecks in theoretical predictions while providing experimentally actionable targets for polymeric nitrogen synthesis.

Chinese Physics LettersVol. 42(7)
Openalex Percentile: Top 26%
Advanced Polymer Synthesis and Characterization
0.94
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