ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

密度泛函理论×紧束缚模型×
领域量子计算量子计算
方法族Machine learningMachine learning
起源年份19651954
提出者Walter KohnJohn Slater and George Koster
类型Electronic structure methodSimplified electronic structure model
开创性文献Kohn, W., Sham, L. J. (1965). Self-consistent equations including exchange and correlation effects. Physical Review, 140, A1133–A1138. DOI ↗Slater, J. C., Koster, G. F. (1954). Simplified LCAO method for the periodic potential problem. Physical Review, 94, 1498–1524. DOI ↗
别名DFT, Kohn-Sham equationsTB model, hopping model
相关43
摘要Density Functional Theory (DFT) is a computational method for determining the properties of materials and molecules by modeling the ground state electron density. Developed by Walter Kohn and Lu Jeu Sham in the 1960s, DFT reduces the complexity of quantum chemistry from tracking individual electron coordinates to optimizing the total electron density, enabling efficient simulations of large molecular and condensed-matter systems.The Tight-Binding (TB) model is a simplified semi-empirical approach for computing electronic band structures and properties of solids. Formulated by Slater and Koster in 1954, TB treats electron hopping between atomic sites as the dominant interaction, enabling efficient calculations of band dispersion for a wide variety of materials.
ScholarGate数据集
  1. v1
  2. 3 来源
  3. PUBLISHED
  1. v1
  2. 3 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Density Functional Theory · Tight-Binding Model. 于 2026-06-17 检索自 https://scholargate.app/zh/compare