大学化学 >> 2026, Vol. 41 >> Issue (8): 420-433.doi: 10.12461/PKU.DXHX202507063

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Hartree方法求解基态氦原子的电子波函数

王春澎, 言天英   

  1. 南开大学材料科学与工程学院, 天津 300350
  • 收稿日期:2025-07-16 录用日期:2025-09-18 发布日期:2026-08-25
  • 通讯作者: 言天英 E-mail:tyan@nankai.edu.cn Tianying Yan
  • 基金资助:
    国家自然科学基金(22273040)

Hartree method for calculating the ground-state wave function of Helium atom

Chunpeng Wang, Tianying Yan   

  1. School of Materials Science and Engineering, Nankai University, Tianjin 300350, China
  • Received:2025-07-16 Accepted:2025-09-18 Published:2026-08-25
  • Contact: Tianying Yan E-mail:tyan@nankai.edu.cn

摘要: 求解多电子体系波函数是量子化学教学中的重要问题。本文以基态氦原子为例,使用Hartree方法求解其基态电子轨道及波函数。首先在薛定谔方程的基础上,引入Hartree Product近似多电子体系的波函数,推导出了电子轨道的Hartree方程;其次,引入3-21G基组并通过线性变分法及自洽计算优化基组系数,求解电子轨道;对照相关公式编写计算机程序并计算出结果,以便学生对照理论推导及程序编写。本文可望帮助学生更好地学习与理解多电子体系波函数的推导、基于Hartree方法的平均场近似以及自洽求解方法。

关键词: Hartree Product, Hartree方程, 平均场近似, 3-21G基组, 自洽法

Abstract: Determining the wave function of multi-electron systems constitutes a fundamental aspect of quantum chemistry education. This study employs the Hartree method to calculate the ground-state electron orbitals and corresponding wave function of a helium atom as a representative example. Initially, we introduce the Hartree Product approximation for the multi-electron wave function based on the Schrödinger equation, subsequently deriving the Hartree equations for electron orbitals. The 3-21G basis set is then implemented, with basis set coefficients optimized through the linear variation method combined with self-consistent field calculations to obtain the electron orbitals. Corresponding computational programs are developed based on these derivations to enable students to compare theoretical formulations with practical implementations. This work aims to enhance students' comprehension of multi-electron wave function derivation, mean-field approximation within the Hartree framework, and self-consistent solution methodologies.

Key words: Hartree product, Hartree equation, Mean-field approximation, 3-21G basis set, Self-consistent method