Jove
Visualize
联系我们

相关概念视频

The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

42.3K
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.
42.3K
Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

140
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
140
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

629
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
629
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

54
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
54
Singularity Functions for Shear01:26

Singularity Functions for Shear

131
In structural analysis, singularity functions are crucial in simplifying the representation of shear forces in beams under discontinuous loading. These functions describe discontinuous  variations in shear force across a beam with varying loads by using a single mathematical expression, regardless of the complexity of the loading conditions. The singularity functions are derived from creating a free-body diagram of the beam and then making conceptual cuts at specific points to examine the...
131
Quantifying Work02:30

Quantifying Work

19.4K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system. 
19.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Experimental memory control in continuous-variable optical quantum reservoir computing.

Nature photonics·2026
Same author

Hardware friendly deep reservoir computing.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Speedup of an all-optical delay-based reservoir computer via input rate increase and bandwidth enhancement.

Chaos (Woodbury, N.Y.)·2025
Same author

Identifying Ordinal Similarities at Different Temporal Scales.

Entropy (Basel, Switzerland)·2025
Same author

Neural networks with quantum states of light.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2024
Same author

Neural network learning with photonics and for photonic circuit design.

Nanophotonics (Berlin, Germany)·2024
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jul 1, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

544

挤压作为时间序列处理在量子储库计算中的资源.

Jorge García-Beni, Gian Luca Giorgi, Miguel C Soriano

    Optics express
    |March 5, 2024
    PubMed
    概括
    此摘要是机器生成的。

    量子挤压增强了神经形态机器学习的时间序列处理. 多模式挤压通过增加对噪声的强度来提高储存器计算内存和性能.

    更多相关视频

    Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
    09:23

    Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

    Published on: May 30, 2014

    14.5K
    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
    05:39

    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

    Published on: August 2, 2019

    9.6K

    相关实验视频

    Last Updated: Jul 1, 2025

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
    05:30

    Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

    Published on: September 8, 2023

    544
    Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
    09:23

    Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

    Published on: May 30, 2014

    14.5K
    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
    05:39

    Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform

    Published on: August 2, 2019

    9.6K

    科学领域:

    • 量子物理学的量子物理学
    • 机器学习 机器学习
    • 光学计算是指光学计算

    背景情况:

    • 挤压是一种量子资源,用于计量学,密码学和计算.
    • 多模式设置中的纠与挤压有关.
    • 神经形态机器学习利用神经科学的原则来实现人工智能.

    研究的目的:

    • 研究量子挤压对神经形态机器学习对时间序列处理的影响.
    • 分析压缩在光子储库计算架构中的作用.
    • 了解压缩如何影响现实,杂的实验条件下的性能.

    主要方法:

    • 被认为是一个基于循环的光子架构,用于水库计算.
    • 分析了Hamiltonian与主动和被动合项.
    • 评估了挤压对水库内存和对噪声的强度的影响.

    主要成果:

    • 量子挤压可以是有害的或有益的,这取决于模型 (理想与现实).
    • 多模式挤压显著增强了水库的可访问的内存.
    • 随着挤压的增加,在基准时间任务中观察到更好的性能.
    • 挤压增强了储的强度,以读取噪声.

    结论:

    • 量子挤压为改善神经形态系统中的时间序列处理提供了一条途径.
    • 压缩所提供的增强的内存和噪声强度是性能增长的关键.
    • 这项研究突出了量子资源在先进机器学习应用中的潜力.