A Study of Platinum Metal Surface as a Component of Fuel Cells

Kenate Nemera
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引用次数: 1

Abstract

Adsorption energies of small molecules carbon monoxide and hydrogen are studied using density functional theory and the neural network method of generating higher dimensional potential energy surfaces. Various lower index surfaces of platinum metal are considered, and the adsorption energies appear to increase according to: P t(211) > P t(100) > P t(110) > P t(111) with the adsorption of both molecules. The large adsorption energies mean only energetic interactions with the ions from air such as oxygen ion can detach the adsorbates from the surface thereby forming water and carbon monoxide as by-products. Exploring possible adsorption sites gives insight on better ways in which charge exchanges are maximized while at the same time forming of the by-products becomes efficient. The adsorption energies range between 0.85 eV to 2.08 eV with the adsorption of CO while the values are between 1.30 eV to 1.9 eV with the adsorption of hydrogen. Charge transfers give some insight into the study of electrification process in the system. These values are computed to be about 0.37e with the adsorption of hydrogen and upto 0.24e with the adsorption of carbon monoxide. Training of the system potential energies using the neural network method shows promising opportunity to study further complex problems in such systems.
铂金属表面作为燃料电池组件的研究
利用密度泛函理论和生成高维势能面的神经网络方法研究了小分子一氧化碳和氢的吸附能。考虑了铂金属的各种低指数表面,根据P t(211) >P t(100) >P t(110) >P t(111)与两种分子的吸附。大的吸附能意味着只有与空气中的离子(如氧离子)的高能相互作用才能使吸附物从表面分离,从而形成水和一氧化碳作为副产物。探索可能的吸附位点可以更好地了解电荷交换最大化的方法,同时使副产物的形成变得有效。对CO的吸附能在0.85 ~ 2.08 eV之间,对氢的吸附能在1.30 ~ 1.9 eV之间。电荷转移为研究系统中的带电过程提供了一些见解。吸附氢时,这些值约为0.37e,吸附一氧化碳时,这些值可达0.24e。利用神经网络方法对系统势能进行训练,为进一步研究此类系统中的复杂问题提供了良好的机会。
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