在原子和二原子上的半局部动能密度函数
Tingwei Wang1, Kai Luo1, Ruifeng Lu1
1Department of Applied Physics, School of Physics, Nanjing University of Science and Technology, Nanjing 210094, China.
Journal of chemical theory and computation
|June 11, 2024
概括
准确的半局部动能密度函数 (KEDFs) 对无轨道密度函数理论至关重要. 佩尔杜-康斯坦丁 (PC) 函数表现出卓越的性能,通过拉普拉斯依赖的减少密度梯度增强,以改善分子预测.
科学领域:
- 计算物理学的计算物理.
- 量子化学是一种量子化学.
- 材料科学是一种材料科学.
背景情况:
- 准确的动能密度函数 (KEDF) 对于无轨密度函数理论 (OF-DFT) 方法至关重要.
- 半局部KEDF被广泛使用,但需要严格的可靠性评估.
研究的目的:
- 通过严格的绩效指标来评估具有代表性的半语言KEDF.
- 确定提高KEDF准确性的策略,特别是Perdew-Constantin (PC) 功能.
主要方法:
- 根据参考数据对各种半本地KEDF的评估.
- 分析Perdew-Constantin (PC) 函数的性能及其对区域选择的依赖.
- 使用拉普拉斯依赖的减少密度梯度增强PC函数的实证构造.
主要成果:
- 与其他测试的函数相比,Perdew-Constantin (PC) 函数在能量计算中表现出更高的精度.
- 拉普拉斯依赖的减少密度梯度被确定为改善KEDF性能的有效指标.
- 增强的PC功能产生了准确的能量,并提供了对分子稳定性的定性正确预测和对键长度的定量估计.
结论:
- 开发的增强PC功能为无轨DFT计算提供了更高的准确性和可靠性.
- 区域选择策略,特别是那些结合密度的拉普拉西安策略,对于提高KEDF绩效至关重要.
- 这项工作为计算物理和化学中的应用提供了更强大的KEDF.
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