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Related Concept Videos

Thermodynamic Processes01:25

Thermodynamic Processes

A thermodynamic process is a path through a sequence of states that takes a system from an initial state to a final state. In a cyclic process, the system returns to its initial state, so the changes in state properties and state functions (ΔT, Δp, ΔV, ΔU, ΔH) over one complete cycle are zero. However, heat and work transfers can still occur during the cycle, and the net heat and net work over the cycle need not be zero.A reversible process occurs when the system is infinitesimally close to...
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Maxwell's thermodynamic relations are very useful in solving problems in thermodynamics. Each of Maxwell's relations relates a partial differential between quantities that can be hard to measure experimentally to a partial differential between quantities that can be easily measured. These relations are a set of equations derivable from the symmetry of the second derivatives and the thermodynamic potentials.
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The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
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Thermodynamic systems undergoing phase transitions or temperature changes experience energy transfer in the form of heat (q) and work (w). For a reversible phase change at constant temperature (T) and pressure (p), the process involves no chemical reaction but results in energy exchange between distinct phases.The heat transferred during this process corresponds to the latent heat of transition, which is the amount of heat energy absorbed or released by a substance when it changes from one...

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Differential Scanning Calorimetry &#8212; A Method for Assessing the Thermal Stability and Conformation of Protein Antigen
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Differential Scanning Calorimetry — A Method for Assessing the Thermal Stability and Conformation of Protein Antigen

Published on: March 4, 2017

Information and classical thermodynamic transformations.

Daniel J Graham1, Miriam Kim

  • 1Department of Chemistry, Loyola University Chicago, Chicago, IL 60626, USA. dgraha1@luc.edu

The Journal of Physical Chemistry. B
|August 6, 2008
PubMed
Summary
This summary is machine-generated.

This study quantifies information in thermodynamic transformations like heating and cooling using Shannon information. It explores how information relates to system properties and heat engine algorithms.

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Area of Science:

  • Thermodynamics
  • Information Theory
  • Statistical Mechanics

Background:

  • Classical thermodynamics describes macroscopic systems, but the role of information in transformations is not fully quantified.
  • Understanding information's role can enhance the design and efficiency of thermodynamic processes.
  • Existing models often focus on equilibrium states, leaving uncertainty in extended systems less explored.

Purpose of the Study:

  • To investigate the relationship between information and classical thermodynamic transformations.
  • To develop a method for quantifying information associated with heating, cooling, expansion, and compression.
  • To explore the significance of information in thermodynamic systems, including critical point behavior and heat engine algorithms.

Main Methods:

  • Illustrated the probabilistic aspect of reversible thermodynamic transformations.
  • Presented a quantitative method for measuring information in processes like heating and cooling.
  • Applied these methods to a single-component van der Waals fluid.

Main Results:

  • Quantified the information content of specific thermodynamic transformations.
  • Demonstrated applications for a van der Waals fluid, highlighting significance in dimension, resolution, and critical point behavior.
  • Showcased the utility of Shannon information for quantifying uncertainty in extended loci of points.

Conclusions:

  • Shannon information provides a valuable tool for quantifying uncertainty in thermodynamic systems beyond equilibrium states.
  • The study establishes a framework for understanding information's role in classical thermodynamic transformations.
  • Findings have implications for the design of efficient heat engines and understanding complex system behaviors.