从电化学接口的自由能量配置文件中推导出有效的电极-离子相互作用
Fabrice Roncoroni1, Abrar Faiyad2, Yichen Li2
1The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
The Journal of chemical physics
|February 25, 2026
概括
电化学系统的准确建模需要了解金属电解质接口的离子吸附. 这项研究突出了力场参数化和机器学习潜力的关键作用,用于预测离子特异效应.
科学领域:
- 计算化学的计算化学
- 物理化学 物理化学
- 材料科学 材料科学 材料科学
背景情况:
- 精确的电化学系统建模需要了解电气化金属电解质接口的离子吸附.
- 由于参数化挑战,经典力场往往难以准确的离子金属相互作用.
研究的目的:
- 系统地研究离子吸附在Au111) - 水界面上的自由能量概况.
- 评估经典力场和机器学习的原子间电位 (MLIP) 的性能,以描述离子吸附.
- 将分子级吸附数据集成到电双层的连续模型中.
主要方法:
- 增强采样分子动力学模拟.
- 经典的元动力学使用莱纳德-斯潜力.
- 机器学习的原子间潜力 (MLIPs),特别是原子的通用模型.
- 分子吸附能量的集成到连续电双层模型中.
主要成果:
- 经典力场预测对伦纳德-斯参数非常敏感;标准混合规则可以产生不正确的离子吸附能量.
- MLIP验证了经典趋势,并预测了的特定吸附,的弱吸附和的无特定吸附.
- 将分子吸附自由能量纳入连续模型显著改变了界面离子群,零电荷的潜力和差电容.
结论:
- 精确的力场参数化和MLIP等先进的原子间潜力对于在电气接口上预测离子特异效应的预测建模至关重要.
- 为弥合分子模拟和连续电化学模型提供了一个强大的框架.
- 这项工作强调了在电化学建模中考虑特定离子吸附的重要性.
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