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接近溶剂中的第一个和第二个减少:比较345个金子的计算和实验的单电子减少潜力
1Department of Chemistry, Georgia State University, Atlanta, Georgia 30302, United States.
这项研究对计算方法进行了基准测试,以预测子降解潜力. 密度函数理论和连续求解模型显示Q/Q•-具有很强的相关性,但揭示了Q•-/Q2-计算的系统错误.
科学领域:
- 计算化学计算化学
- 电化学 电化学 电化学
- 物理化学 物理化学
背景情况:
- 准确预测氧化还原潜力对于理解电子转移过程至关重要.
- 昆是重要的氧化还原活性分子,在各种领域都有应用.
- 之前的计算研究在预测减少潜力方面具有不同程度的准确性.
研究的目的:
- 通过密度函数理论 (DFT) 和连续溶解模型,对子的绝对单电子还原潜进行基准测量.
- 为了比较四种溶解模型 (IEF-PCM,C-PCM,COSMO,SM12) 在预测N,N-二甲基形式胺 (DMF) 中子降解潜力的准确性.
- 在计算预测中识别系统和随机错误的来源.
主要方法:
- 使用DFT计算的电电子亲缘关系.
- 使用四种连续溶解模型 (IEF-PCM,C-PCM,COSMO,SM12) 计算了溶解能量.
- 与DMF中的和粒电极 (SCE) 相对于345个Q/Q•-和265个Q•-/Q2-半反应的实验参考减少潜力进行了基准计算.
主要成果:
- 对于Q/Q•-电位,观察到强烈的线性相关性 (r = 0.950.96) 和低平均绝对误差 (MAE = 83.2989.51 mV).
- 对于Q•-/Q2-电位,发现了较弱的相关性 (r = 0.740.90) 和较高的MAE (95.87144.53 mV),这表明多重电荷离子的误差更大.
- 确定了与环大小,替代剂和溶解模型选择有关的系统性错误,SM12显示Q•-/Q2-.的MAE较大.
结论:
- DFT与连续溶解模型相结合,提供了一种可靠的方法来预测子还原潜力,特别是Q/Q•-对.
- Q•-/Q2-对的精度下降,突出显示了模拟多电荷离子的挑战.
- 需要对大型,无偏见的实验数据集进行计算方法测试,以进一步完善预测并了解错误来源.
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