[N2H7+][B2H7–] supersalt as an alternative of [NH4+][BH4–] for efficient hydrogen storage

IF 2.5 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Ambrish Kumar Srivastava
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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.

[N2H7+][B2H7 -]超盐作为[NH4+][BH4 -]的替代品,用于高效储氢
超级盐是电荷转移盐,它不同于传统的盐,因为它更倾向于解离成离子碎片。这些可以由超碱与超卤素相互作用形成。[NH4+][BH4 -]对解离生成氨硼烷的不稳定性限制了其在储氢中的实际应用。本文采用DFT和MP2方法,采用双核超碱阳离子(N2H7+)和超卤素阴离子(B2H7 -)设计[N2H7+][B2H7 -]。虽然其重量氢密度(22%)略小于[NH4+][BH4 -](24%),但其解离能和焓足够大,足以证实其稳定性。[N2H7+][B2H7 -]的稳定性增强可归因于其超盐行为,这使其成为化学储氢的可能候选者。方法在高斯16程序中采用6-311 + + G(d,p)基集,采用远程色散校正的ωB97xD泛函进行sdft计算。用二阶Moller-Plesset摄动理论(MP2)对相同基集的结果进行了重新计算。
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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