氧化演化反应催化剂的电极选择框架涉及密度函数理论和有限元素方法
Pratam Ganguly1, Arya Manoj1, Shankar Raman Dhanushkodi1
1Dhanushkodi, Research Group, Department of Chemical Engineering, Vellore Institute of Technology Vellore 632014 India srdhanus@uwaterloo.ca shankarraman.d@vit.ac.in.
RSC advances
|August 27, 2025
概括
开发用于氧化演化反应 (OER) 的先进电极对于绿色的生产至关重要. 这项研究整合了密度功能理论 (DFT) 和有限元素建模 (FEM) 来预测催化剂性能,确定RuO2作为一个有希望的材料.
科学领域:
- 材料科学
- 电化学
- 计算化学
背景情况:
- 耐用,高性能电极对于高效的水电解和绿色生产至关重要.
- 氧化演化反应 (OER) 是水电解中的一个关键瓶.
研究的目的:
- 开发和验证一个集成DFT和FEM的多尺度建模框架,用于OER电极设计.
- 连接原子级催化剂机制与宏观级电化学性能.
- 在聚合物电解质膜电解剂中确定有前途的OER电催化剂.
主要方法:
- 综合密度函数理论 (DFT) 与有限元模型 (FEM) 进行多尺度分析.
- 使用FEM模拟IrO2,RuO2,Co-Pt和Ni-Fe催化剂的氧化还原性能.
- 根据实验数据获得并验证的周期伏特图 (CV).
- 连接量子级反应路径与连续电化学性能.
主要成果:
- 综合的DFT-FEM框架准确地预测了催化剂的性能,并验证了实验结果.
- 在没有实验输入的情况下,原子尺度的计算提供了电子结构和能量.
- 由于其有利的电子和结构性质,包括低HOMO-LUMO差距和高交换电流密度,RuO2表现出卓越的OER催化活性.
结论:
- 多尺度建模框架有效地预测了OER催化剂的性能,并确定了限制性步骤.
- RuO2是OER应用的非常有前途的电催化剂,提供了增强的动力学和耐久性.
- 这种预测方法加速了绿色生产的高效电极的设计.
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