Modeling and Simulation of Next-Generation Catalytic Materials for Energy and Environment Applications

A special issue of Catalysts (ISSN 2073-4344). This special issue belongs to the section "Computational Catalysis".

Deadline for manuscript submissions: 30 May 2025 | Viewed by 962

Special Issue Editors

School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
Interests: computational catalysis; petrochemical catalysts; fuel cell
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Guest Editor
School of Materials Science and Engineering, China University of Petroleum (East China), Qingdao 266580, China
Interests: computational catalysis; electrocatalysis; catalytic materials; catalytic mechanism

Special Issue Information

Dear Colleagues,

In recent years, catalytic materials have played an increasingly pivotal role in driving innovations within the energy and environment sectors, particularly in the realms of industrial catalysis and fuel cell technology. These advances have been instrumental in pushing the boundaries of sustainability and efficiency. However, the complexity of these materials necessitates enhanced computational tools to fully comprehend their behavior and optimize their performance.

This Special Issue, titled "Modeling and Simulation of Next-Generation Catalytic Materials for Energy and Environment Applications", seeks to highlight the leading computational methodologies being applied to the study of catalytic materials designed for energy and environment related applications. The aim is to bring together cutting-edge research that utilizes state-of-the-art computational tools such as density functional theory (DFT), molecular dynamics (MD), Monte Carlo (MC) simulations, and numerical modeling to explore the fundamental aspects of catalytic processes and material design.

We welcome contributions that address the following topics:

  • Theoretical frameworks for predicting and understanding the reactivity of novel catalytic materials;
  • Computational studies on the optimization of industrial catalysts for enhanced performance;
  • Insights into the electrochemical reactions facilitated by fuel cell catalysts through computational analysis;
  • Innovations in multiscale modeling strategies to bridge the gap between microscopic and macroscopic properties of catalytic systems;
  • Development of new computational algorithms and methodologies to simulate complex catalytic phenomena.

This Special Issue will serve as a platform for disseminating groundbreaking research and fostering interdisciplinary collaboration among scientists engaged in the theoretical and computational aspects of catalysis. By sharing your work, you will contribute to the advancement of knowledge in this vital field and help shape future directions in catalytic material design.

We look forward to receiving your contributions, which may include original research articles, review papers, and perspectives.

Sincerely,

Dr. Houyu Zhu
Dr. Lianming Zhao
Guest Editors

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Keywords

  • computational catalysis
  • metal catalysts
  • metal oxides
  • composite catalysts
  • zeolites
  • molecular sieves
  • carbon-based catalysts
  • biocatalysts
  • photocatalysts

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Published Papers (1 paper)

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Research

17 pages, 3122 KiB  
Article
Selective Catalytic Reduction of NO by NH3 and SOx Poisoning Mechanisms on Mn3O4 Catalysts: A Density Functional Investigation
by Houyu Zhu, Zhennan Liu, Xiaoxin Zhang, Yucheng Fan, Xin Wang, Dongyuan Liu, Xiaohan Li, Xiaoxiao Gong, Wenyue Guo and Hao Ren
Catalysts 2025, 15(3), 241; https://doi.org/10.3390/catal15030241 - 3 Mar 2025
Viewed by 637
Abstract
Mn-based oxides are promising catalysts for the selective catalytic reduction (SCR) of NOx by NH3 at low temperatures. However, fundamental NH3-SCR mechanisms and resistance mechanisms against SOx remain controversial. This study employed density functional theory (DFT) calculations to [...] Read more.
Mn-based oxides are promising catalysts for the selective catalytic reduction (SCR) of NOx by NH3 at low temperatures. However, fundamental NH3-SCR mechanisms and resistance mechanisms against SOx remain controversial. This study employed density functional theory (DFT) calculations to explore the intrinsic mechanisms of NH3-SCR and SOx poisoning on Mn3O4(001). Both NH3 and NO adsorb atop the surface Mn site (the Lewis acid site). In contrast to the traditional Langmuir–Hinshelwood (L-H) mechanism in which gaseous NO is first oxidized to form adsorbed nitrites or nitrates and then react with adsorbed NHx species to produce H2O and N2, a new potential L-H pathway is proposed that involves gaseous NO first adsorbing and then reacting with NH* to generate the key intermediate NHNO*, followed by the formation of H2O and N2. This L-H pathway is more efficient as it bypasses the NO oxidation step and is more selective for N2 formation by avoiding N2O production. In addition, the L-H mechanism is more favorable than the Eley–Rideal (E-R) mechanism because of the lower free energy profile. SO2 exhibits limited poisoning effects, whereas SO3 strongly poisons the Mn3O4(001) surface by occupying adsorption sites, hindering intermediate formation and producing ammonium bisulfate. Full article
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