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Related Concept Videos

Machines01:19

Machines

563
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
563
Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
701
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
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Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
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Related Experiment Video

Updated: Jan 25, 2026

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography
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Annealing by simulating the coherent Ising machine.

Egor S Tiunov, Alexander E Ulanov, A I Lvovsky

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    |May 3, 2019
    PubMed
    Summary
    This summary is machine-generated.

    A new classical computer simulation method for the coherent Ising machine (CIM) offers superior speed and sample quality. This quantum-inspired approach handles complex Ising Hamiltonians, outperforming current methods.

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    Area of Science:

    • Quantum computing
    • Computational physics
    • Nonlinear optics

    Background:

    • The coherent Ising machine (CIM) utilizes optical parametric oscillators (OPOs) for sampling Ising Hamiltonian energy states.
    • Measurement-based optoelectronic feedforward facilitates spin interactions in CIMs, favoring lower-energy configurations.

    Purpose of the Study:

    • To develop an efficient classical simulation method for the coherent Ising machine.
    • To compare the simulation's performance against the CIM and noisy mean-field annealers.
    • To investigate the CIM's performance mechanisms and explore new quantum-inspired algorithms.

    Main Methods:

    • Developing an efficient classical simulation algorithm for CIMs.
    • Encoding spins in the amplitudes of pulsed modes within an OPO.
    • Implementing measurement-based optoelectronic feedforward for spin interaction.

    Main Results:

    • The classical simulation method outperforms the CIM and noisy mean-field annealer in sample quality and computational speed.
    • The simulation method successfully handles Ising Hamiltonians with arbitrary real-valued coupling strengths.
    • The study provides insights into the CIM's speed advantages and suggests new classical annealing algorithms.

    Conclusions:

    • Efficient classical simulation of CIMs is achievable, surpassing the hardware's performance.
    • This research paves the way for novel quantum-inspired classical algorithms.
    • The findings enhance understanding of quantum annealing and computational methods.