Computational Catalysts and Materials Design for Energy Conversion and Storage

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Catalysis Enhanced Processes".

Deadline for manuscript submissions: closed (20 March 2022) | Viewed by 3373

Special Issue Editor

Chemical Sciences and Engineering Division, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL 60439, USA
Interests: computational catalysts/materials design for energy conversion and storage; development of computational methods and models for complex catalytic systems; development of high-level quantum mechanical methods for solid-state catalysis

Special Issue Information

Dear Colleagues,

Computational modeling has become a powerful tool in developing novel catalysts and materials for energy conversion and storage, ranging from molecular compounds to solid-state bulk materials and supported nanomaterials. The molecular insights provided by simulations at various scales could not only help with a better understanding of the catalysts and materials, but also guide the experimental design of new systems. Here, in this Special Issue, we identify three frontiers and challenging areas in computational catalyst and materials design for energy conversion and storage:

  1. development of new computational methods/approaches for energy catalysis;
  2. computational studies of the heterogeneity of the catalytically active sites;
  3. data science-enabled computational modeling of catalysts/materials properties and catalytic reaction pathways.

This Special Issue intends to highlight the recent advances of computational methods and approaches for studying challenging problems of catalysts and materials in energy conversion and storage. Both research and review articles are welcome.

Dr. Cong Liu
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational catalysis
  • data science-enabled catalysts/materials design
  • multiscale modeling of catalysts/materials
  • heterogeneity of catalytic active site
  • computational catalyst design

Published Papers (1 paper)

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Research

22 pages, 11322 KiB  
Article
Electrochemical Performance of Iron-Doped Cobalt Oxide Hierarchical Nanostructure
by Deepa Guragain, Sunil Karna, Jonghyun Choi, Romakanta Bhattarai, Tej P. Poudel, Ram Krishna Gupta, Xiao Shen and Sanjay R. Mishra
Processes 2021, 9(12), 2176; https://0-doi-org.brum.beds.ac.uk/10.3390/pr9122176 - 02 Dec 2021
Cited by 9 | Viewed by 2892
Abstract
In this study, hydrothermally produced Fe-doped Co3O4 nanostructured particles are investigated as electrocatalysts for the water-splitting process and electrode materials for supercapacitor devices. The results of the experiments demonstrated that the surface area, specific capacitance, and electrochemical performance of Co [...] Read more.
In this study, hydrothermally produced Fe-doped Co3O4 nanostructured particles are investigated as electrocatalysts for the water-splitting process and electrode materials for supercapacitor devices. The results of the experiments demonstrated that the surface area, specific capacitance, and electrochemical performance of Co3O4 are all influenced by Fe3+ content. The FexCo3-xO4 with x = 1 sample exhibits a higher BET surface (87.45 m2/g) than that of the pristine Co3O4 (59.4 m2/g). Electrochemical measurements of the electrode carried out in 3 M KOH reveal a high specific capacitance of 153 F/g at a current density of 1 A/g for x = 0.6 and 684 F/g at a 2 mV/s scan rate for x = 1.0 samples. In terms of electrocatalytic performance, the electrode (x = 1.0) displayed a low overpotential of 266 mV (at a current density of 10 mA/cm2) along with 52 mV/dec Tafel slopes in the oxygen evolution reaction. Additionally, the overpotential of 132 mV (at a current density of 10 mA/cm2) and 109 mV with 52 mV/dec Tafel slope were obtained for x = 0.6 sample towards hydrogen evolution reaction (HER). According to electrochemical impedance spectroscopy (EIS) measurements and the density functional theory (DFT) study, the addition of Fe3+ increased the conductivity at the electrode–electrolyte interface, which substantially impacted the high activity of the iron-doped cobalt oxide. The electrochemical results revealed that the mesoporous Fe-doped Co3O4 nanostructure could be used as potential electrode material in the high-performance electrochemical capacitor and water-splitting catalysts. Full article
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