{"title":"[N2H7+][B2H7–] supersalt as an alternative of [NH4+][BH4–] for efficient hydrogen storage","authors":"Ambrish Kumar Srivastava","doi":"10.1007/s00894-025-06463-z","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Supersalts are charge transfer salts, which differ from traditional salts due to preferred dissociation into ionic fragments. These can be formed by the interaction of superalkalis with superhalogens. The inherent instability of [NH<sub>4</sub><sup>+</sup>][BH<sub>4</sub><sup>–</sup>] against dissociation to ammonia borane restricts its practical application in hydrogen storage. In this work, we design [N<sub>2</sub>H<sub>7</sub><sup>+</sup>][B<sub>2</sub>H<sub>7</sub><sup>–</sup>] by using binuclear superalkali cation (N<sub>2</sub>H<sub>7</sub><sup>+</sup>) and superhalogen anion (B<sub>2</sub>H<sub>7</sub><sup>–</sup>) using DFT and MP2 methods. Although its gravimetric hydrogen density (22%) is slightly smaller than that of [NH<sub>4</sub><sup>+</sup>][BH<sub>4</sub><sup>–</sup>] (24%), its dissociation energy and enthalpy are large enough to confirm its stability. The enhanced stability of [N<sub>2</sub>H<sub>7</sub><sup>+</sup>][B<sub>2</sub>H<sub>7</sub><sup>–</sup>] can be attributed to its supersalt behavior, which makes it a possible candidate for chemical hydrogen storage.</p><h3>Methods</h3><p>DFT calculations were performed using a long-range dispersion corrected ωB97xD functional with a 6–311 + + G(d,p) basis set in the Gaussian 16 program. The results were recalculated using the second-order Moller–Plesset perturbation theory (MP2) with the same basis set.\n</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 9","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-08-11","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/s00894-025-06463-z","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
Supersalts are charge transfer salts, which differ from traditional salts due to preferred dissociation into ionic fragments. These can be formed by the interaction of superalkalis with superhalogens. The inherent instability of [NH4+][BH4–] against dissociation to ammonia borane restricts its practical application in hydrogen storage. In this work, we design [N2H7+][B2H7–] by using binuclear superalkali cation (N2H7+) and superhalogen anion (B2H7–) using DFT and MP2 methods. Although its gravimetric hydrogen density (22%) is slightly smaller than that of [NH4+][BH4–] (24%), its dissociation energy and enthalpy are large enough to confirm its stability. The enhanced stability of [N2H7+][B2H7–] can be attributed to its supersalt behavior, which makes it a possible candidate for chemical hydrogen storage.
Methods
DFT calculations were performed using a long-range dispersion corrected ωB97xD functional with a 6–311 + + G(d,p) basis set in the Gaussian 16 program. The results were recalculated using the second-order Moller–Plesset perturbation theory (MP2) with the same basis set.
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.