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Editorial
, Volume: 16( 4)

Statistical Thermodynamics

Stefan Paul *

*Correspondence:
Stefan Paul
Editorial Office,
Physcal Chemstry: An Indian Journal,
UK,
E-mail: [email protected]

Received:  July 10, 2021; Accepted: July 16, 2021; Published: July 26, 2021

Citation: Paul S. Statistical Thermodynamics. Phys Chem Ind J. 2021;16(4):147.

Abstract

Statistical thermodynamics is an important link between quantum theory and chemical thermodynamics, yet it is a difficult subject for students to grasp. Statistical thermodynamics is a theory that predicts the behaviour of macroscopic amounts of molecules using molecular attributes. While statistical thermodynamics predates quantum physics, current statistical thermodynamics presume that the quantized energy levels associated with a given system are known. The partition function, a temperature-dependent quantity, can be determined using these energy-level data.

Statistical thermodynamics is an important link between quantum theory and chemical thermodynamics, yet it is a difficult subject for students to grasp. Statistical thermodynamics is a theory that predicts the behaviour of macroscopic amounts of molecules using molecular attributes. While statistical thermodynamics predates quantum physics, current statistical thermodynamics presume that the quantized energy levels associated with a given system are known. The partition function, a temperature-dependent quantity, can be determined using these energy-level data. All of the system's thermodynamic properties can be computed using the partition function. The general challenge of forecasting reaction rates has also been tackled using statistical thermodynamics. Transition state theory, sometimes known as the theory of absolute reaction rates, is the name given to this application. We should be able to anticipate the rate of any response in principle. 

Statistical thermodynamics, of which Boltzman is one of the most well-known fathers, looks at the universe on a tiny, atomic size and seeks to understand phenomena that classical thermodynamics only looked at on a macroscopic basis. Statistical thermodynamics, unlike classical thermodynamics, requires additional assumptions for an adequate modelling of matter. The idea of temperature is given a molecular meaning (related to the average energy of a molecule in a piece of matter) by statistical thermodynamics, whereas the concept of entropy is simplified by its statistical meaning. A lot of unreasonable assumptions regarding protein sequences are made in the statistical thermodynamic treatment above. Residues are "equilibrated" across an MSA, which is one of the most unrealistic assumptions. This is definitely not the case; rather, these sequences all descend from a common ancestorf, with sequence differences resulting from selective pressure and genetic drift. A lot of unreasonable assumptions regarding protein sequences are made in the statistical thermodynamic treatment above. Residues are "equilibrated" across an MSA, which is one of the most unrealistic assumptions. This is definitely not the case; rather, these sequences all descend from a common ancestor, with sequence differences resulting from selective pressure and genetic drift. The solvation free energy is used in statistical thermodynamics to quantify the impact of the solvent on the stability and reactivity of the solute. This is the reversible work that occurs when a solute molecule is transferred from a dilute gas to a solution system of interest, and it corresponds to the free-energy change for turning on the intermolecular interaction of the solute with the solvent. The probability distribution is a function only of preserved attributes, which is a sufficient (but not necessary) requirement for statistical equilibrium with an isolated system (total energy, total particle numbers, etc.). There are a variety of equilibrium ensembles to explore, but only a few of them relate to thermodynamics.