Suppr超能文献

通过掺杂锂原子增强石墨烯片对硫化氢和氨气的物理吸附。

Enriching physisorption of H2S and NH3 gases on a graphane sheet by doping with Li adatoms.

作者信息

Hussain Tanveer, Panigrahi Puspamitra, Ahuja Rajeev

机构信息

Condensed Matter Theory Group, Department of Physics and Astronomy, Box 516, Uppsala University, S-75120, Uppsala, Sweden.

出版信息

Phys Chem Chem Phys. 2014 May 7;16(17):8100-5. doi: 10.1039/c4cp00128a.

Abstract

We have used density functional theory to investigate the adsorption efficiency of a hydrogenated graphene (graphane) sheet for H2S and NH3 gases. We find that neither the pristine graphane sheet nor the sheet defected by removing a few surface H atoms have sufficient affinity for either H2S or NH3 gas molecules. However, a graphane sheet doped with Li adatoms shows a strong sensing affinity for both the mentioned gas molecules. We have calculated the absorption energies with one [referred to as half coverage] molecule and two molecules [referred to as full coverage] for both gases with the Li-doped graphane sheet. We find that for both the gases, the calculated absorption energies are adequate enough to decide that the Li-doped graphane sheet is suitable for sensing H2S and NH3 gases. The Li-doped sheet shows a higher affinity for the NH3 gas compared to the H2S gas molecules due to a stronger Li(s)-N(p) hybridization compared to that of Li(s)-S(p). However, while going from the half coverage effect to the full coverage effect, the calculated binding energies show a decreasing trend for both the gases. The calculated work function of the Li-doped graphane sheet decreases while bringing the gas molecules within its vicinity, which explains the affinity of the sheet towards both the gas molecules.

摘要

我们利用密度泛函理论研究了氢化石墨烯(石墨烷)片对H₂S和NH₃气体的吸附效率。我们发现,无论是原始的石墨烷片还是去除一些表面H原子而产生缺陷的片层,对H₂S或NH₃气体分子都没有足够的亲和力。然而,掺杂锂原子的石墨烷片对上述两种气体分子都表现出很强的传感亲和力。我们用掺杂锂的石墨烷片计算了两种气体一个分子(称为半覆盖)和两个分子(称为全覆盖)时的吸附能。我们发现,对于这两种气体,计算出的吸附能足以确定掺杂锂的石墨烷片适用于传感H₂S和NH₃气体。由于Li(s)-N(p)杂化比Li(s)-S(p)更强,掺杂锂的片层对NH₃气体的亲和力高于H₂S气体分子。然而,从半覆盖效应到全覆盖效应时,两种气体的计算结合能均呈下降趋势。当气体分子靠近时,掺杂锂的石墨烷片计算出的功函数降低,这解释了该片层对两种气体分子的亲和力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验