资源类型

期刊论文 1

年份

2023 1

关键词

检索范围:

排序: 展示方式:

The CatMath: an online predictive platform for thermal + electrocatalysis

《化学科学与工程前沿(英文)》 2023年 第17卷 第12期   页码 2156-2160 doi: 10.1007/s11705-023-2371-3

摘要: The catalytic volcano activity models are the quantified and visualized tools of the Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. All the model generation and analysis processes are realized by cloud computing via a user-friendly interface.

关键词: CatMath     catalysis     volcano activity plots     Surface Pourbaix Diagrams     online platform    

标题 作者 时间 类型 操作

The CatMath: an online predictive platform for thermal + electrocatalysis

期刊论文