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Entropy02:39

Entropy

32.0K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
32.0K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

3.4K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
3.4K
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

20.0K
A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.
20.0K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

21.9K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
21.9K
The Second Law of Thermodynamics01:14

The Second Law of Thermodynamics

5.9K
In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Scientists refer to the measure of randomness or disorder within a system as entropy. High entropy means high disorder and low energy. To better understand entropy, think of a student’s bedroom. If no energy or work were put into it, the room would quickly become messy. It would exist in a very disordered state, one of high entropy. Energy must be...
5.9K
Entropy and Solvation02:05

Entropy and Solvation

7.4K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
7.4K

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Related Experiment Video

Updated: Oct 16, 2025

Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

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Information Entropy in Chemistry: An Overview.

Denis Sh Sabirov1, Igor S Shepelevich1,2

  • 1Laboratory of Mathematical Chemistry, Institute of Petrochemistry and Catalysis, Russian Academy of Sciences, 450075 Ufa, Russia.

Entropy (Basel, Switzerland)
|October 23, 2021
PubMed
Summary

Information entropy quantifies molecular structures and signals. This concept is key for digitalizing chemistry, enabling advances in crystal engineering and structural informatics.

Keywords:
chemical structureelectronic structureinformation entropymolecular complexitymolecular ensemble

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Area of Science:

  • Chemistry
  • Informatics
  • Structural Chemistry

Background:

  • Information entropy is a fundamental concept with broad applications.
  • Its utility extends to quantifying complex chemical and electronic structures.

Purpose of the Study:

  • To review the basic applications of information entropy in chemistry.
  • To highlight recent advances and interdisciplinary potential.

Main Methods:

  • Review of existing literature on information entropy in chemical contexts.
  • Analysis of applications in molecular structure, signal processing, and crystal studies.

Main Results:

  • Information entropy effectively quantifies molecular and electronic structures.
  • It is applicable to signal processing, crystal structures, and molecular ensembles.
  • Recent advances show its role in digitalizing chemical reactions and crystal engineering.

Conclusions:

  • Information entropy is a central concept in interdisciplinary chemical informatics.
  • It facilitates a digital rethinking of structural chemistry principles.
  • Future applications include chemico-information synthesis and advanced crystal engineering.