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Related Concept Videos

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

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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?
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Ampere's Law: Problem-Solving01:31

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Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
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Energy Stored in a Capacitor: Problem Solving01:26

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In 1749, Benjamin Franklin coined the word battery for a series of capacitors connected to store energy. Capacitors store electric potential energy that can be released over a short time. This property means capacitors have a wide range of applications.
Capacitor-discharge ignition is a type of ignition system commonly found in small engines where the energy released from a capacitor ignites an induction coil that, in turn, fires the spark plug.
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Potential Energy00:52

Potential Energy

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The energy stored by a structure and location of matter in space is called potential energy. For instance, raising a kettlebell changes its spatial location and increases its potential energy. Similarly, a stretched rubber band contains potential energy which, under certain conditions, can be converted into other forms of energy, such as kinetic energy.
Chemical bonds that form attractive forces between atoms also contain potential energy, called chemical energy. When a chemical reaction...
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Potential Energy01:09

Potential Energy

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A conservative force, such as a gravitational or elastic force, gives the body the capacity to do work. This capacity, measured as the potential energy, depends on the body's location or “position” relative to a fixed reference position or datum. The gravitational potential energy is considered zero at the reference point. Suppose a body is located at some vertical distance above a fixed horizontal reference or datum. In that case, the weight of the body has positive gravitational potential...
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The Quantum-Mechanical Model of an Atom02:45

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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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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Harnessing Quantum Computing for Energy Materials: Opportunities and Challenges.

Seongmin Kim1, In-Saeng Suh1, Travis S Humble2

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

ACS Energy Letters
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This summary is machine-generated.

Quantum computing (QC) offers a new approach to developing advanced energy materials, overcoming classical method limitations. Combining QC with classical methods can accelerate the design and simulation of efficient, sustainable energy materials.

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Area of Science:

  • Materials Science
  • Quantum Computing
  • Computational Chemistry

Background:

  • Classical computational methods are vital for energy materials development but struggle with complex, high-dimensional systems.
  • High-performance materials are crucial for energy efficiency, sustainability, and cost reduction.
  • Quantum computing (QC) presents a novel paradigm for tackling intractable computational problems.

Purpose of the Study:

  • To explore the potential of quantum computing (QC) in advancing energy materials research.
  • To identify challenges and opportunities in applying QC to complex material systems.
  • To present hybrid quantum-classical approaches for energy materials design and simulation.

Main Methods:

  • Review of current limitations in classical computational materials science.
  • Discussion of quantum computing principles (superposition, entanglement) for materials simulation.
  • Case studies of hybrid quantum-classical algorithms for energy materials.

Main Results:

  • QC offers a path to overcome scaling and time-complexity issues in materials modeling.
  • Hybrid approaches can leverage QC's power for practical energy material design.
  • Error-corrected, fault-tolerant QC promises predictive accuracy and quantum advantage.

Conclusions:

  • Quantum computing holds significant promise for revolutionizing energy materials discovery.
  • Hybrid quantum-classical methods are key to near-term applications.
  • Future fault-tolerant QC will enable unprecedented breakthroughs in materials science.