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Related Concept Videos

Three-Phase Voltages01:30

Three-Phase Voltages

215
A three-phase generator produces three voltages that are equal in magnitude but have a phase difference of 120 degrees. This identical magnitude and equal phase separated voltages are known as the balanced voltages and help to minimize power loss while ensuring a steady delivery of energy to connected loads. As voltage sources in a three-phase system can be configured in a wye or a delta formation, the loads connected to these systems can also be arranged in either configuration. This...
215
Three-Phase Circuits01:22

Three-Phase Circuits

383
AC power distribution systems have three categories: single-phase, two-phase, and three-phase systems. The single-phase circuit, common in residential settings, typically employs a two-wire system connecting a single AC source to various loads. These circuits support standard household appliances operating at 120 volts (V) and 240 V, such as lamps, televisions, and microwaves. The first generators, Niagara Falls hydro plant installed in 1895, were two-phase and designed by Nikola Tesla. The...
383
The Delta-to-Delta Circuit01:17

The Delta-to-Delta Circuit

525
In a delta-delta configuration, the source and the load are connected in a delta manner, forming a closed loop that divides the network into three distinct phases. This configuration makes the phase voltages identical to line voltages. Assuming the sources are in positive sequence, the phase voltages can be expressed directly without having a neutral wire.
525
Power in a Three-Phase Circuit01:15

Power in a Three-Phase Circuit

283
Three-phase systems have two configurations: the wye and delta. A star configuration can be three or four wires; in a delta configuration, the components are connected in a closed loop. Instantaneous power refers to the power value at a precise moment, and in a balanced three-phase system, it is constant. This is because the sum of the instantaneous powers in the three phases remains steady over time, despite individual fluctuations, due to the symmetry and phase relationship. The total...
283
Generation of Three-Phase Voltage01:21

Generation of Three-Phase Voltage

349
A three-phase AC generator has a rotor with a rotating magnet placed within the stator mounted with the stationary three-phase winding to generate three-phase voltages via mutual induction. These windings are evenly distributed around the inner circumference of the stator and are arranged 120 electrical degrees apart. Three-phase stator windings consist of three separate coils or groups of coils, known as phases, each connected in Y (star) configuration or Delta configuration.
As the rotor...
349
Inductance: Single-Phase And Three-Phase Line01:28

Inductance: Single-Phase And Three-Phase Line

157
Understanding the inductance of transmission lines is crucial for efficient design and operation in electrical power systems. This discussion delves into the inductance characteristics of single-phase two-wire and three-phase three-wire transmission lines with equal phase spacing.
Single-Phase Two-Wire Line:
A single-phase line consists of two solid cylindrical conductors, denoted as x and y. Each conductor carries phasor currents ix and iy, respectively. Given that the sum of these currents is...
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Three-Phase Confusion Learning.

Filippo Caleca1, Simone Tibaldi2,3, Elisa Ercolessi2,3

  • 1Laboratoire de Physique, Centre Nationale de la Recherche Scientifique, École Normale Supérieure de Lyon, Université Lyon 1, 46 Allée d'Italie, F-69342 Lyon, France.

Entropy (Basel, Switzerland)
|February 26, 2025
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Summary
This summary is machine-generated.

This study generalizes the Learning by Confusion technique for quantum many-body systems with multiple phases. The enhanced method accurately identifies phase diagrams using ternary neural networks, proving machine learning

Keywords:
condensed matterneural networksquantum many-body physics

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Area of Science:

  • Quantum Many-Body Theory
  • Machine Learning Applications

Background:

  • Neural Networks (NNs) are increasingly used in quantum many-body theory.
  • Learning by Confusion (LbC) is an unbiased NN scheme for identifying equilibrium phase diagrams.
  • Existing LbC methods are limited to systems with two phases.

Purpose of the Study:

  • To generalize the Learning by Confusion scheme for quantum systems with more than two phases.
  • To adapt NNs for detecting systems exhibiting three or more phases.

Main Methods:

  • A generalized confusion scheme using a ternary Neural Network classifier.
  • Testing the method on free and interacting Kitaev chains.
  • Applying the method to the one-dimensional Extended Hubbard model.

Main Results:

  • The generalized LbC scheme successfully identified phase diagrams in multi-phase systems.
  • Achieved results consistent with previous studies.
  • Demonstrated the effectiveness of ternary classifiers for multi-phase detection.

Conclusions:

  • The generalized Learning by Confusion approach extends NN applications in quantum many-body physics.
  • This work highlights the utility of machine learning for complex quantum system analysis.
  • The method provides an unbiased route to discovering phase transitions.