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Effects of Temperature on Free Energy02:11

Effects of Temperature on Free Energy

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The spontaneity of a process depends upon the temperature of the system. Phase transitions, for example, will proceed spontaneously in one direction or the other depending upon the temperature of the substance in question. Likewise, some chemical reactions can also exhibit temperature-dependent spontaneities. To illustrate this concept, the equation relating free energy change to the enthalpy and entropy changes for the process is considered:
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Carrier Transport01:21

Carrier Transport

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The generation of electrical current in semiconductors is fundamentally driven by two mechanisms: drift and diffusion. These processes are essential for the functionality and performance of semiconductor-based devices.
Drift Current:
The drift of charge carriers is started by an external electric field (E). Charged particles, such as electrons and holes, experience an acceleration between collisions with lattice atoms. For electrons, this results in a drift velocity (vd) given by:
535
Effect of Temperature Change on Reaction Rate02:28

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The Arrhenius equation,
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Le Chatelier's Principle: Changing Temperature02:19

Le Chatelier's Principle: Changing Temperature

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Consistent with the law of mass action, an equilibrium stressed by a change in concentration will shift to re-establish equilibrium without any change in the value of the equilibrium constant, K. When an equilibrium shifts in response to a temperature change, however, it is re-established with a different relative composition that exhibits a different value for the equilibrium constant.
To understand this phenomenon, consider the elementary reaction:
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What is an Electrochemical Gradient?01:26

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Adenosine triphosphate, or ATP, is considered the primary energy source in cells. However, energy can also be stored in the electrochemical gradient of an ion across the plasma membrane, which is determined by two factors: its chemical and electrical gradients.
The chemical gradient relies on differences in the abundance of a substance on the outside versus the inside of a cell and flows from areas of high to low ion concentration. In contrast, the electrical gradient revolves around an...
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Theory of Metallic Conduction01:17

Theory of Metallic Conduction

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The conduction of free electrons inside a conductor is best described by quantum mechanics. However, a classical model makes predictions close to the results of quantum mechanics. It is called the theory of metallic conduction.
In this theory, Newton's second law of motion is used to determine the acceleration of an electron in the presence of an applied electric field. Then, its velocity is expressed via this acceleration.
An electron moves through the crystal, containing positive ions,...
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Scalable Quantum Integrated Circuits on Superconducting Two-Dimensional Electron Gas Platform
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Effect of temperature gradient on quantum transport.

Amartya Bose1, Peter L Walters2,3

  • 1Department of Chemistry, Princeton University, Princeton, New Jersey 08544, USA. amartyab@princeton.edu.

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Temperature profiles can control quantum transport in 1D systems. The multisite tensor network path integral (MS-TNPI) method reveals temperature

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Area of Science:

  • Computational Physics
  • Quantum Dynamics
  • Condensed Matter Physics

Background:

  • Quantum transport in one-dimensional systems is often studied at uniform temperatures.
  • Spatial temperature variations offer a potential control mechanism for quantum transport.
  • The multisite tensor network path integral (MS-TNPI) method is a recent advancement for simulating quantum dynamics.

Purpose of the Study:

  • To investigate the impact of externally imposed temperature profiles on excitonic transport.
  • To explore the use of temperature gradients as a quantum control parameter.
  • To apply the MS-TNPI method to study non-equilibrium quantum dynamics in 1D systems.

Main Methods:

  • Simulation of one-dimensional Frenkel chains coupled with local vibrations.
  • Application of the multisite tensor network path integral (MS-TNPI) method.
  • Imposition of non-uniform, externally controlled temperature profiles.

Main Results:

  • Demonstrated the effectiveness of MS-TNPI for simulating quantum dynamics in extended 1D systems.
  • Revealed significant non-equilibrium effects of temperature profiles on excitonic transport.
  • Showcased temperature gradients as a viable tool for controlling quantum transport phenomena.

Conclusions:

  • Temperature is a crucial factor not only for modeling laser excitation heating but also for quantum control.
  • Spatially varying temperature profiles can effectively steer excitonic transport in 1D quantum systems.
  • The MS-TNPI method provides a powerful framework for studying temperature-dependent quantum dynamics.