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相关概念视频

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

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. Schrödinger...

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在超级时代的全原子生物分子模拟.

Thomas L Beck1, Paolo Carloni2,3, Dilipkumar N Asthagiri1

  • 1National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States.

Journal of chemical theory and computation
|February 21, 2024
PubMed
概括

超级计算机和AI/ML能够进行大规模的生物分子模拟,彻底改变我们对生物过程的理解. 未来的研究将专注于优化资源和解决原子级模拟中的重大挑战问题.

科学领域:

  • 计算生物学是一种计算生物学.
  • 生物物理学的生物物理.
  • 人工智能的人工智能是人工智能.

背景情况:

  • 超级计算机正在使生物分子运动的动态模拟成为可能.
  • 人工智能和机器学习 (AI/ML) 技术对于这些模拟至关重要.
  • 这些进步允许在前所未有的长度和时间尺度上进行建模.

研究的目的:

  • 报告在CECAM研讨会上讨论的大规模生物分子模拟的重大进展.
  • 突出现有能力和未来可能的生物领域的超大规模计算.
  • 为未来的研究确定挑战和重大挑战问题.

主要方法:

  • 专注于原子层次的模拟.
  • 利用超级计算机的超级计算能力.
  • 应用AI/ML技术. 在AI/ML技术的应用.

主要成果:

  • 展示了当前大规模生物分子模拟的例子.
  • 讨论了通过超级计算实现的未来可能性.
  • 确定了优化资源使用的挑战.

结论:

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  • 超大规模计算和AI/ML将彻底改变生物分子模拟.
  • 克服资源优化挑战是关键.
  • 现在有几个大挑战问题可以通过新的计算机架构来解决.