电子描述器用于识别E-NRR的SAC活动和BF3作为电解质离子的影响
Narad Barman1, Samadhan Kapse1, Ranjit Thapa1,2
1Department of Physics, SRM University AP, Amaravati, Andhra Pradesh, 522240, India.
ChemSusChem
|August 13, 2024
概括
开发高效的单原子催化剂 (SAC) 用于电化学氨合成 (e-NRR) 是至关重要的. 这项研究确定了一个关键的电子描述符,dxz↓占用率,以预测催化剂性能和选择性,加速催化剂设计.
科学领域:
- 材料科学 材料科学 材料科学
- 电化学 电化学 电化学
- 计算化学计算化学
背景情况:
- 电化学降解反应 (e-NRR) 在环境条件下提供一种可持续的氨生产途径.
- 开发有效的催化剂来抑制演化反应 (HER) 并抵抗中毒仍然是一个重大挑战.
研究的目的:
- 使用基于描述器的方法对单原子催化剂 (SAC) 进行电子NRR选.
- 为了确定可靠的描述器来预测催化活性和选择性.
- 为了减少设计新型SAC用于e-NRR的实验性努力.
主要方法:
- 密度函数理论 (DFT) 的计算被用来研究24种不同的SAC,使用各种过渡金属和协调环境.
- 评估了电解质离子 (BF3,Cl,ClO4,SO4,OH) 对催化剂性能的影响.
- 测试了16个电子参数,以找到与催化活性相关的描述符.
主要成果:
- 电子参数dxz↓占用被确定为e-NRR催化活性的高效描述符,显示R2相关性为0.86.
- 对e-NRR与HER的选择性与能量参数G*H-G*NNH成功相关.
- 拟议的描述符可以准确地预测对e-NRR有希望的SAC.
结论:
- dxz↓占用描述符显著简化了用于电化学氨基合成的新单原子催化剂的选过程.
- 这种计算方法加速了有效和选择性催化剂的发现,为实际的e-NRR应用铺平了道路.
- 了解电解质效应对于优化催化剂设计和性能至关重要.
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