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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...
Thermodynamic Background01:18

Thermodynamic Background

The law of mass action states that "the rate of a chemical reaction is directly proportional to the product of the molar concentrations of the reactants." It means that the more 'active mass' or 'concentration' of the reactants present, the faster the reaction will proceed.In a chemical reaction, there are forward and reverse reactions. The forward reaction is the process where the reactants combine to form products. The reverse reaction is the process where the products break down to form the...
Thermochemical Equations02:55

Thermochemical Equations

For a chemical reaction (the system) carried out at constant pressure – with the only work done caused by expansion or contraction – the enthalpy of reaction (also called the heat of reaction, ΔHrxn) is equal to the heat exchanged with the surroundings (qp).
Second Law of Thermodynamics02:49

Second Law of Thermodynamics

In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
Second Law of Thermodynamics00:53

Second Law of Thermodynamics

The Second Law of Thermodynamics states that entropy, or the amount of disorder in a system, increases each time energy is transferred or transformed. Each energy transfer results in a certain amount of energy that is lost—usually in the form of heat—that increases the disorder of the surroundings. This can also be demonstrated in a classic food web. Herbivores harvest chemical energy from plants and release heat and carbon dioxide into the environment. Carnivores harvest the chemical energy...
Thermodynamics: Chemical Potential and Activity01:10

Thermodynamics: Chemical Potential and Activity

The effective concentration of a species in a solution can be expressed precisely in terms of its activity. Activity considers the effect of electrolytes present in the vicinity of the species of interest and depends on the ionic strength of the solution. The activity of a species is expressed as the product of molar concentration and the activity coefficient of the species.
The thermodynamic equilibrium constant is more accurately defined in terms of activity rather than concentration.

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Updated: Jul 12, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

化学プロセス設計のための分子熱力学

J M Prausnitz

    Science (New York, N.Y.)
    |August 24, 1979
    PubMed
    まとめ

    化学エンジニアは,プロセス設計のために正確な液体混合物均衡データが必要です. 分子熱力学は,完全な特徴づけがあまりにもコストのかかる,または時間がかかる場合,限られた実験データを用いて推定技術を提供します.

    科学分野:

    • 化学工学は化学工学というものです.
    • 熱力学は熱力学である.
    • 物理化学 物理化学

    背景:

    • 化学プロセスの設計は,流体混合物の正確な均衡データに依存しています.
    • これらのデータの実験的決定は,しばしば資源密集 (コストと時間) である.

    研究 の 目的:

    • 化学プロセス設計における推定技術の必要性を強調する.
    • これらのテクニックの基礎科学として分子熱力学を導入する.

    主な方法:

    • 分子熱力学を用いて,古典的熱力学と統計的熱力学を組み合わせる.
    • 分子物理学と物理化学の原理を統合する.
    • 限られた実験データに基づいた合理的な推定技術を使用する.

    主要な成果:

    • 流体混合物の均衡を予測するための基礎として,確立された分子熱力学.
    • 化学工学におけるこれらの原理の実践的応用を実証した.

    結論:

    • 分子熱力学は,効率的な化学プロセス設計に不可欠です.
    • 分子熱力学から派生した推定技術は,実験的な限界を克服します.

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    関連する実験動画

    Last Updated: Jul 12, 2026

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
    06:37

    Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

    Published on: September 17, 2021

    Submillisecond Conformational Changes in Proteins Resolved by Photothermal Beam Deflection
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    Submillisecond Conformational Changes in Proteins Resolved by Photothermal Beam Deflection

    Published on: February 18, 2014

    Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions
    09:15

    Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions

    Published on: November 21, 2017