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Electronic Structure of Atoms02:28

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An atom comprises protons and neutrons, which are contained inside the dense, central core called the nucleus, with electrons present around the nucleus. Taking into account the wave–particle duality of electrons and the uncertainty in position around the nucleus, quantum mechanics provides a more accurate model for the atomic structure. It describes atomic orbitals as the regions around the nucleus where electrons of discrete energy exist, characterized by four quantum...
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Interfacial electrochemical methods focus on the phenomena occurring at the boundary between an electrode and a solution, as opposed to bulk methods that concentrate on the solution's overall properties. These interfacial methods are classified as either static or dynamic based on the presence of a nonzero current in the electrochemical cell and the consistency of analyte concentrations. Static methods, such as potentiometry, measure the cell's potential without any significant current...
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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Orbitals are the areas outside of the atomic nucleus where electrons are most likely to reside. They are characterized by different energy levels, shapes, and three-dimensional orientations. The location of electrons is described most generally by a shell or principal energy level, then by a subshell within each shell, and finally, by individual orbitals found within the subshells.
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Sascha Mausenberger1,2, Severin Polonius1,2, Sebastian Mai1

  • 1Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria.

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科学领域:

  • 计算化学计算化学
  • 理论化学 理论化学
  • 量子动力学 量子动力学是什么?

背景情况:

  • 非adiabatic动态模拟需要高效的电子结构计算.
  • 为这些模拟开发新的接口是复杂和耗时的.
  • 现有的框架可能缺乏灵活性,以适应多尺度和适应性方法.

研究的目的:

  • 为电子结构接口提供一种新,灵活和可重复使用的Python框架.
  • 为分层和多尺度模拟引入混合接口.
  • 为了促进模块化,灵活和可扩展的软件设计在兴奋状态动态.

主要方法:

  • 在Python 3中面向对象编程.
  • 为电子结构接口开发可重复使用和可扩展的代码库.
  • 实现混合接口,支持层次结构和嵌套结构的多尺度建模.

主要成果:

  • 该框架支持计算能量,梯度和各种合 (旋转轨道,非adiabatic,过渡双极时刻).
  • 混合接口可以实现多尺度方法 (例如,QM/MM) 和自适应式学习工作流.
  • 通过优化形交叉点和改进机器学习模型来证明多功能性.

结论:

  • 新的框架显著简化了非adiabatic动态的电子结构接口的开发.
  • 混合和嵌套混合接口为复杂的模拟和工作流提供了强大的方法.
  • 这项工作为激发状态动态研究中更模块化和可扩展的软件提供了基础.