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1)  Gibbs-Duhem equation
Gibbs-Duhem方程
1.
A hybrid model (GD-FFN) that combines Gibbs-Duhem equation (GD) and artificial neural networks (FFN) for vapor liquid equilibrium (VLE) calculation was presented.
提出了以Gibbs-Duhem方程为基架,引入前传网,由此将机理方程与神经网络这两种不同类的方法相集成,用以求解化工热力学的汽液相平衡问题,以克服经典的机理方法或单一神经元方法的欠缺与不足。
2.
In the light of estimation model for ternary excess properties, an approximate analytical procedure for ternary Gibbs-Duhem equation was proposed, and verification by previous ternary systems as Cd-Bi-Pb and Zn-In-Cd was also made.
本文借助三元过剩性质的估算模型,得到一种三元Gibbs-Duhem方程的近似解析法,并在Cd-Bi-Pb和Zn-In-Cd两个三元系中做了验证。
3.
A formula of partial molar percentage is obtained based on Gibbs-Duhem equation.
利用Gibbs-Duhem方程证明了偏摩尔自由能的一个计算公式。
2)  Gibbs-Helmholtz equation
Gibbs-Helmholtz方程
1.
Chemical reactions participated by ions and the applications of Gibbs-Helmholtz equation;
离子参与的化学反应与Gibbs-Helmholtz方程的应用
2.
In inorganic chemistry teaching material,approximate form of Gibbs-Helmholtz equation is often mentioned.
无机化学教材中,多处提到Gibbs-Helmholtz方程的近似形式,文章就如何掌握好问题的广度和深度,讲清近似估算和精确计算的差距以及合理近似的条件问题进行分析。
3)  Gibbs equations
Gibbs方程
1.
On the thermodynamics nature of the Gibbs equations and the physical meaning of the thermodynamic functions;
论Gibbs方程的热力学本性及热力学函数的物理意义
2.
Jia Shi-zhong and McGlashan M L put forward that Gibbs equations only to be suitable to close system,this article puts forward that they are also applicable to open system.
McGlashan的文章提出的Gibbs方程只对封闭系统成立的观点,论证了热力学基本方程对开放系统也成立。
4)  Gibbs Appell equation
Gibbs-Appell方程
1.
The author generalizes the Gibbs Appell equation to relativistic rotational variable mass system and obtains its Appell equation under generalized coordinates and quasi coordinates.
把 Gibss-Appell方程推广到相对论转动变质量系统 ,分别得到了这类系统在广义坐标下和准坐标下的Gibbs-Appell方
5)  Gibbs absorption equation
Gibbs吸附方程
6)  gibbs method
Gibbs方法
补充资料:Gibbs-Duhem equation
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性质:在多组分均相热力学系统中,表示温度、压力和组分之间变化关系的方程。即-SmdT+Vmdp-。式中Sm和Vm分别代表系统的摩尔熵和摩尔体积,xi为组分i的摩尔分数,μi为i组分的化学势。表示对系统中所有的组分进行加和。当系统的温度T和压力p保持不变时,吉布斯-杜亥姆方程变为下列形式:。此式说明,多组分系统的各化学势μi并非彼此无关,对二组分系统,知道μ1就可知μ2与变量x1或x2的关系。

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