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The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
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Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
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When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
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Related Experiment Video

Updated: Aug 1, 2025

Author Spotlight: Streamlining Visual Dynamics to Simplify Molecular Dynamics Simulations Using Gromacs
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WaveTrain: A Python package for numerical quantum mechanics of chain-like systems based on tensor trains.

Jerome Riedel1, Patrick Gelß2,3, Rupert Klein2

  • 1Institut für Chemie, Freie Universität Berlin, Altensteinstraße 23A, D-14195 Berlin, Germany.

The Journal of Chemical Physics
|April 28, 2023
PubMed
Summary
This summary is machine-generated.

WaveTrain is open-source software for simulating quantum systems using tensor train format, mitigating the curse of dimensionality for chain-like systems. It offers classical and quantum-classical dynamics, with visualization tools for quantum dynamics.

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Area of Science:

  • Computational Physics
  • Quantum Mechanics
  • Software Development

Background:

  • Numerical simulations of quantum systems are computationally intensive, especially for long chains.
  • Existing methods often struggle with scalability due to the curse of dimensionality.
  • Efficient algorithms are needed for simulating complex quantum dynamics.

Purpose of the Study:

  • Introduce WaveTrain, an open-source software package for numerical simulations of chain-like quantum systems.
  • Demonstrate how tensor train format representations mitigate the curse of dimensionality.
  • Provide tools for classical and quantum-classical dynamics, alongside visualization capabilities.

Main Methods:

  • Utilizes the tensor train (matrix product) format for Hamiltonian operators and state vectors.
  • Builds upon the Scikit_tt Python toolbox for efficient TT format operations.
  • Employs solvers for eigenvalue problems and linear differential equations for Schrödinger equations.

Main Results:

  • Tensor-train ranks of state vectors show marginal dependence on chain length (N).
  • Computational effort scales slightly more than linearly with N, effectively mitigating the curse of dimensionality.
  • WaveTrain supports full quantum mechanics, classical, and mixed quantum-classical dynamics.

Conclusions:

  • WaveTrain offers an efficient and scalable solution for simulating chain-like quantum systems.
  • The software facilitates the study of phenomena like excitonic energy transport.
  • Version 1.0 is freely available, with ongoing development and demonstration examples provided.