{"title":"Advances in the modelling and simulation of high-energy density materials","authors":"Hong-Wei Xi, S Prabu Dev, Kok Hwa Lim","doi":"10.1007/s00894-025-06288-w","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>With the development of simulation technique and the rapid advances in computing power, modelling and simulation (M&S) began to demonstrate vast potential in predicting the properties of energetic material and helping to design potential energetic material. The prediction of energetic material density has evolved from evaluating molecular volume using Monte Carlo integration to the calculations of material density at the crystal scale: a technique, incorporating crystal packing and crystalline structure prediction through the first principles simulation, has demonstrated the ability to distinguish different polymorphs of energetic molecules and accurately predict their crystal structure and density. The atomization scheme together with high-level calculational models can predict most energetic materials with minimal reliance on reference systems and limits. In addition to its ability to predict detonation pressures and velocities of well-established classes of energetic materials based on the thermochemical code or empirical equations. M&S has proven effective in screening the potential of newly designed energetic materials. The application of M&S significantly enhances safety by reducing the number of hazardous experiments needed for material development. The ability to screen materials based on M&S predicted HOFs and detonation properties reduces experimental frequency, thereby decreasing both the risk of hazardous tests and overall development costs.</p><h3>Method</h3><p>Gaussian, VASP, and EXPLO5™ were utilized. The optimization and QM density predictions for energetic molecules were performed at the level of DFT B3LYP using Gaussian 16. While the determination of crystal structure and crystal density was performed using VASP 6. Subsequently, the heat of formation calculation was performed using Gaussian 16 at the G2 and CBS-Q level. EXPLO5™ code enabled the calculation of detonation velocity and detonation pressure.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 4","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-025-06288-w","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
With the development of simulation technique and the rapid advances in computing power, modelling and simulation (M&S) began to demonstrate vast potential in predicting the properties of energetic material and helping to design potential energetic material. The prediction of energetic material density has evolved from evaluating molecular volume using Monte Carlo integration to the calculations of material density at the crystal scale: a technique, incorporating crystal packing and crystalline structure prediction through the first principles simulation, has demonstrated the ability to distinguish different polymorphs of energetic molecules and accurately predict their crystal structure and density. The atomization scheme together with high-level calculational models can predict most energetic materials with minimal reliance on reference systems and limits. In addition to its ability to predict detonation pressures and velocities of well-established classes of energetic materials based on the thermochemical code or empirical equations. M&S has proven effective in screening the potential of newly designed energetic materials. The application of M&S significantly enhances safety by reducing the number of hazardous experiments needed for material development. The ability to screen materials based on M&S predicted HOFs and detonation properties reduces experimental frequency, thereby decreasing both the risk of hazardous tests and overall development costs.
Method
Gaussian, VASP, and EXPLO5™ were utilized. The optimization and QM density predictions for energetic molecules were performed at the level of DFT B3LYP using Gaussian 16. While the determination of crystal structure and crystal density was performed using VASP 6. Subsequently, the heat of formation calculation was performed using Gaussian 16 at the G2 and CBS-Q level. EXPLO5™ code enabled the calculation of detonation velocity and detonation pressure.
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.