File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

곽상규

Kwak, Sang Kyu
Kyu’s MolSim Lab @ UNIST
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Computational screening of rutile oxide based electrocatalysts for highly active and selective hydrogen peroxide generation

Author(s)
Lee, Seung MinKim, Yu JinJung, Gwan YeongKwak, Sang Kyu
Issued Date
2021-10-29
URI
https://scholarworks.unist.ac.kr/handle/201301/76771
Citation
한국화학공학회 2021년도 가을 총회 및 국제 학술대회
Abstract
Hydrogen peroxide (H2O2) is an essential chemical widely used in the applications such as wastewater purification. On the industrial scale, H2O2 is mainly produced by anthraquinone oxidation, which requires significant energy consumption owing to multistep process and generates organic by-products. Photoelectrochemical oxidation of water can be one of the alternative ways to produce H2O2 due to solar energy-induced sustainable and environment-friendly process. However, to efficiently produce H2O2 through water oxidation, we should control the competitive reaction, which is known as oxygen evolution reaction (OER). Thus, in this work, computational screening was conducted in the wide range of rutile oxides (MO2) considering various conditions of the surface to discriminate OER but promote the H2O2 production. To elucidate selectivity and activity of the considered MO2, the conventional volcano approach was employed based on the adsorption free energy calculation. Further, the scaling relation results provide valuable insight into identifying selective and active candidate materials and trends among MO2 for the H2O2 generation reaction.
Publisher
KIChe

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.