Prediction of ADN/ANF cocrystal and its theoretical properties

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-12-09 DOI:10.1007/s00894-024-06242-2
Zhihong Yu, Hanqing Xu, Zhihua Zhuang, Wenlian Peng, Liang Zhou, Pengcheng Zhang, Hao Chen, Jinyan He, Xinggao Zhang
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Abstract

Context

Ammonium dinitramide (ADN) is highly hygroscopic, which poses significant challenges in its practical applications. Consequently, mitigating this hygroscopic nature has been a primary focus in the research and development of ADN. This study investigated the properties of the ADN/3-amino-4-nitrofurazan (ANF) cocrystal using density functional theory, molecular dynamics, and Monte Carlo methods. The research involved analyzing binding energies, radial distribution functions, and molecular interaction energies; predicting crystallographic properties of the cocrystal; and ADN theoretically assessing its hygroscopic and detonation properties. The results indicated that the cocrystal achieved relative stability at a 1:1 molar ratio of ADN to ANF, driven by favorable conditions for cocrystal formation. The primary forces facilitating this cocrystal formation were electrostatic and van der Waals interactions. The predicted space group for the cocrystal was P21-C, with a calculated crystal density of 1.8836 g·cm⁻3. Additionally, the cocrystal demonstrated a calculated saturated moisture absorption rate of 9.07%, which contrasted significantly with the 18.12% absorption rate observed for pure ADN. Theoretical calculations indicated that the detonation performance of the cocrystal surpassed that of the pure components ADN and ANF, suggesting that the ADN/ANF cocrystal was a new type of high-energy material with low hygroscopicity.

Methods

For the whole molecular dynamics simulation, the simulation was done in Materials Studio 2020 software, under NPT ensemble, with a set temperature of 298 K, a pressure of 0.0001 GPa, a temperature control of Andersen, and a pressure control of Berendsen. The total simulation time was 1 ns. The first 0.5 ns was used for the thermodynamic equilibrium, and the second 0.5 ns was used for statistical calculations and analysis. It was used for statistical calculations and analysis. Samples were recorded every 10 fs during the calculation. All systems were simulated similarly. Surface electrostatic potentials were calculated using Gaussian and Multiwfn programs with B3LYP, 6-31G +  + basis sets, and levels. Hygroscopicity calculations utilized the Sorption module to simulate pure ADN and ADN/ANF cocrystals. Water was chosen as the adsorbate, with a pressure of 2.813 kPa, temperature set at 308.15 K, and adsorbate coverage ranging from 0.12 to 0.8.

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ADN/ANF共晶的预测及其理论性质
二硝酰胺铵(ADN)具有很强的吸湿性,这对其实际应用提出了重大挑战。因此,减轻这种吸湿性一直是ADN研究和开发的主要焦点。本研究利用密度泛函理论、分子动力学和蒙特卡罗方法研究了ADN/3-氨基-4-硝基呋喃氮(ANF)共晶的性质。研究包括结合能、径向分布函数和分子相互作用能的分析;预测共晶的晶体学性质;和ADN理论评估其吸湿性和爆轰性能。结果表明,当ADN与ANF的摩尔比为1:1时,共晶在有利的共晶形成条件下获得了相对稳定性。促进这种共晶形成的主要力是静电和范德华相互作用。预测的共晶空间群为P21-C,计算出的共晶密度为1.8836 g·cm⁻3。此外,共晶的饱和吸湿率为9.07%,与纯ADN的18.12%的吸湿率形成显著对比。理论计算表明,共晶的爆轰性能超过了纯组分ADN和ANF,表明ADN/ANF共晶是一种新型的低吸湿性高能材料。方法采用Materials Studio 2020软件进行全分子动力学模拟,在NPT集成下,设定温度298 K,压力0.0001 GPa,温度控制为Andersen,压力控制为Berendsen。仿真总时间为1 ns。前0.5 ns用于热力学平衡,后0.5 ns用于统计计算和分析。它被用于统计计算和分析。计算过程中每10秒记录一次样品。所有系统都进行了类似的模拟。采用Gaussian和Multiwfn程序计算表面静电电位,采用B3LYP、6- 31g++基集和水平。吸湿性计算利用吸附模块模拟纯ADN和ADN/ANF共晶。选择水作为吸附剂,压力为2.813 kPa,温度为308.15 K,吸附剂覆盖率为0.12 ~ 0.8。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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