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IF 3.9 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2025-01-01
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引用次数: 0
IF 3.9 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2025-01-01
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引用次数: 0
IF 3.9 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2025-01-01
{"title":"","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":34595,"journal":{"name":"Energetic Materials Frontiers","volume":"6 2","pages":"Pages 202-211"},"PeriodicalIF":3.9,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146718792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
IF 3.9 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2025-01-01
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引用次数: 0
IF 3.9 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2025-01-01
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引用次数: 0
IF 3.9 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2025-01-01
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引用次数: 0
Machine learning-assisted quantitative prediction of thermal decomposition temperatures of energetic materials and their thermal stability analysis 含能材料热分解温度的机器学习辅助定量预测及其热稳定性分析
IF 3.3 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.enmf.2023.09.004
Zhi-xiang Zhang , Yi-lin Cao , Chao Chen , Lin-yuan Wen , Yi-ding Ma , Bo-zhou Wang , Ying-zhe Liu
In this study, machine learning (ML)-assisted regression modeling was conducted to predict the thermal decomposition temperatures and explore the factors that correlate with the thermal stability of energetic materials (EMs). The modeling was performed based on a dataset consisting of 885 various compounds using linear and nonlinear algorithms. The tree-based models established demonstrated acceptable predictive abilities, yielding a low mean absolute error (MAE) of 31°C. By analyzing the dataset through hierarchical classification, this study insightfully identified the factors affecting EMs’ thermal decomposition temperatures, with the overall accuracy improved through targeted modeling. The SHapley Additive exPlanations (SHAP) analysis indicated that descriptors such as BCUT2D, PEOE_VSA, MolLog_P, and TPSA played a significant role, demonstrating that the thermal decomposition process is influenced by multiple factors relating to the composition, electron distribution, chemical bond properties, and substituent type of molecules. Additionally, descriptors such as Carbon_contents and Oxygen_Balance proposed for characterizing EMs showed strong linear correlations with thermal decomposition temperatures. The trends of their SHAP values indicated that the most suitable ranges of Carbon_contents and Oxygen_Balance were 0.2∼0.35 and −65∼−55, respectively. Overall, the study shows the potential of ML models for decomposition temperature prediction of EMs and provides insights into the characteristics of molecular descriptors.
本研究采用机器学习(ML)辅助回归模型对含能材料(EMs)的热分解温度进行预测,并探讨与热稳定性相关的因素。建模是基于一个由885种不同化合物组成的数据集,使用线性和非线性算法进行的。建立的基于树的模型显示出可接受的预测能力,平均绝对误差(MAE)较低,为31°C。本研究通过分层分类对数据集进行分析,深刻识别出影响EMs热分解温度的因素,并通过有针对性的建模提高了整体精度。SHapley Additive exPlanations (SHAP)分析表明,BCUT2D、PEOE_VSA、MolLog_P和TPSA等描述符在热分解过程中发挥了重要作用,表明热分解过程受到分子组成、电子分布、化学键性质和取代基类型等多种因素的影响。此外,碳含量(Carbon_contents)和氧平衡(Oxygen_Balance)等描述符与热分解温度呈强线性相关。它们的SHAP值的变化趋势表明,碳含量和氧平衡的最适宜范围分别为0.2 ~ 0.35和- 65 ~ - 55。总的来说,该研究显示了ML模型在em分解温度预测中的潜力,并提供了对分子描述符特征的见解。
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引用次数: 0
A density functional theory investigation of the substituent effect on acyclovir and guanine derivatives for applications on energetic materials 对阿昔洛韦和鸟嘌呤衍生物取代基效应的密度泛函理论研究,以应用于高能材料
IF 3.3 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.enmf.2024.01.002
Luciana Amorim da Silva, Gabriel Monteiro-de-Castro, Erick Braga Ferrão Galante, Itamar Borges Jr, Aline Cardoso Anastácio
<div><div>The main challenge in designing new energetic materials is to find a good balance between four seemingly incompatible requirements, namely, high-energy content, low sensitivity, low production costs and less-polluting content. Fused nitrogen heterocycles of imidazole and pyrimidine, such as acyclovir and guanine, may offer interesting features due to the combination of a coplanar framework and a large conjugate system, which contribute to a reduced sensitivity, and a number of energetic bonds that can be increased by the introduction of explosophore substituents. In this work, to evaluate the potential of acyclovir and guanine derivatives as energetic materials, density functional theory (DFT) calculations were carried out to investigate the influence of the type and position of the explosophore substituent groups –<span><math><mrow><mi>N</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, –<span><math><mrow><mi>N</mi><mi>H</mi><mi>N</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, –<span><math><mrow><msub><mi>N</mi><mn>3</mn></msub></mrow></math></span>, –<span><math><mrow><mi>O</mi><mi>N</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span>, –<span><math><mrow><mi>C</mi><mi>N</mi></mrow></math></span>, <span><math><mrow><mo>−</mo><mi>N</mi><mo>=</mo><mi>N</mi><mo>−</mo><mtext>,</mtext></mrow></math></span> and <span><math><mrow><mo>−</mo><mi>N</mi><mo>=</mo><mi>N</mi><mrow><mo>(</mo><mi>O</mi><mo>)</mo></mrow><mo>−</mo></mrow></math></span> on the energetic properties and chemical reactivity of 91 acyclovir- and guanine-based molecules, including thirty one nitramines, three nitroheterocycles, seventeen azides, seventeen nitrate esters, seventeen nitriles, three azo and three azoxy compounds. Several molecular properties were computed, including the chemical reactivity, the heat of formation and the detonation velocities and pressures using semiempirical equations. Among the molecules with no bridge groups, we found that, except for cyano group, position 4 were the most stable for acyclovir derivatives, whereas, except for the azido group, position 2 and 5 provided the most stable compounds for guanine derivatives. Among the bridged derivatives, depending on the molecule and positions, the nitrate esters and the nitro derivatives were more stable. In comparison with the parent compounds, calculations showed that the heat of formation (HOF) increased the most with azido and cyano groups, the density increased substantially with nitrate esters, nitro and nitramino groups, and the detonation velocities and pressures increased the most with nitrate ester, nitro and nitramino groups. Although azo groups resulted in higher HOFs than azoxy groups, azoxy derivatives showed superior values in terms of density, heat of maximum detonation, detonation velocity and pressure. Four nitrate esters (GD134, GD245, AZOXYGD13 and AZOXYGD25) displayed higher values of detonation velocity and pressure than RDX. The designed nitramin
设计新型含能材料的主要挑战是在四种看似不相容的要求之间找到良好的平衡,即高能量含量、低灵敏度、低生产成本和低污染含量。咪唑和嘧啶的融合氮杂环,如无环鸟苷和鸟嘌呤,可能提供有趣的特性,因为共面框架和大共轭体系的结合,有助于降低灵敏度,并且可以通过引入爆炸性取代基来增加许多能键。为了评价阿昔洛韦和鸟嘌呤衍生物作为含能材料的潜力,采用密度泛函理论(DFT)计算方法,研究了炸药取代基- no2、- nhno2、- n3、- ono2、- cn、- N=N−和- N=N(O)−的类型和位置对91个阿昔洛韦和鸟嘌呤基分子(包括31个硝胺、3个硝基杂环、17个叠氮化物、3个硝基杂环)的含能性质和化学反应性的影响。17个硝酸酯,17个腈,3个偶氮化合物和3个偶氮氧化合物。利用半经验方程计算了几种分子性质,包括化学反应性、生成热、爆炸速度和压力。在没有桥基的分子中,除氰基外,位置4是无环鸟苷衍生物最稳定的化合物,而除氮基外,位置2和5是鸟嘌呤衍生物最稳定的化合物。在桥接衍生物中,根据分子和位置的不同,硝酸酯和硝基衍生物更稳定。计算结果表明,与母体化合物相比,叠氮基和氰基的生成热(HOF)增加最多,硝酸酯、硝基和硝胺基的密度显著增加,硝酸酯、硝基和硝胺基的爆速和爆压增加最多。偶氮基的hof值高于偶氮基,但偶氮基衍生物在密度、最大爆轰热、爆轰速度和爆轰压力方面均优于偶氮基衍生物。4种硝酸酯(GD134、GD245、AZOXYGD13和AZOXYGD25)的爆速和爆压值均高于RDX。所设计的硝胺对冲击的敏感性低于RDX。除GD134和GD245外,所有没有桥键的鸟嘌呤基硝酸盐酯对撞击的敏感性都低于TNT。由于良好的性能和稳定性,化合物GD25、GD13、GD45、GD34和GD14作为含能材料具有相当大的潜力。因此,建议它们的合成和进一步的研究。
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引用次数: 0
Cover Story 封面故事
IF 3.3 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/S2666-6472(24)00090-3
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引用次数: 0
Anisotropic shock response in oriented omnidirectional TATB supercells based on reactive molecular dynamics simulations 基于反应分子动力学模拟的定向全向 TATB 超级胞体中的各向异性冲击响应
IF 3.3 Q2 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2024-12-01 DOI: 10.1016/j.enmf.2024.07.001
Guan-chen Dong , Jia-lu Guan , Ling-hua Tan , Jing Lv , Xiao-na Huang , Guang-cheng Yang
1,3,5-Triamino-2,4,6-trinitrobenzene (TATB) is a highly insensitive energetic material used in applications where extreme safety is required primarily. Ensuring the safe use of TATB as planned relies on research into intrinsic behavior under shock loading, which needs further investigation. Here, we study the shock response in oriented supercells of the highly anisotropic TATB based on reactive molecular dynamics simulations and multi-scale shock technique. Results demonstrate that the mechanical response primarily consists of adiabatic compression and plastic deformation. The system is more susceptible to be compressed rather than plastic deformed when shocked direction to the molecular layer at a 45° angle, resulting in the most obvious initial temperature increase. The chemical reaction pathways are similar in our simulations. Under shock loading, polymerization occurs first and then decomposition begins. However, the overall chemical kinetics response intensifies, as the angle between the shock direction and molecular layer decreases. Nonetheless, the rate of decomposition does not strictly correlate with shock direction. Moreover, clusters evolution shows different reactivity based on shock direction and velocity, which makes anisotropy weak at high shock velocity.
1,3,5-三氨基-2,4,6-三硝基苯(TATB)是一种高度不敏感的高能材料,主要用于对安全性要求极高的应用领域。确保按计划安全使用 TATB 有赖于对冲击载荷下的内在行为进行研究,这需要进一步的调查。在此,我们基于反应分子动力学模拟和多尺度冲击技术,研究了高度各向异性 TATB 的定向超胞中的冲击响应。结果表明,机械响应主要包括绝热压缩和塑性变形。当冲击方向与分子层成 45° 角时,系统更容易受到压缩而不是塑性变形,从而导致最明显的初始温度升高。在我们的模拟中,化学反应的途径与此类似。在冲击加载下,聚合首先发生,然后开始分解。然而,随着冲击方向与分子层之间的夹角减小,整个化学动力学反应会加剧。不过,分解速率与冲击方向并没有严格的相关性。此外,簇演化在冲击方向和速度的基础上显示出不同的反应性,这使得各向异性在高冲击速度下变得微弱。
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Energetic Materials Frontiers
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