Mathematical modeling and computational simulation of phase separation in ternary mixtures

Computational Biology: Development in the Field of Medicine

10.31487/sr.blog.31 ◽

2021 ◽

Keyword(s):

Mathematical Modeling ◽

Computational Biology ◽

Social Systems ◽

Computational Simulation ◽

Analytical Data ◽

Theoretical Methods ◽

Simulation Techniques

Computational biology involves the development and application of analytical-data and theoretical methods, computational simulation techniques, and mathematical modeling to the study of biological, behavioral, ecological, and social systems.

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Phase separation in polymer solutions. I. Liquid-liquid phase separation of PPO poly (2, 6-dimethyl 1, 4-phenylene oxide) in binary mixtures with toluene and ternary mixtures with toluene and ethyl alcohol

Journal of Polymer Science Part C Polymer Symposia ◽

10.1002/polc.5070380108 ◽

2007 ◽

Vol 38 (1) ◽

pp. 73-86 ◽

Cited By ~ 12

Author(s):

P. T. Van Emmerik ◽

C. A. Smolders

Keyword(s):

Phase Separation ◽

Liquid Phase ◽

Binary Mixtures ◽

Ethyl Alcohol ◽

Polymer Solutions ◽

Liquid Phase Separation ◽

Ternary Mixtures ◽

Phenylene Oxide ◽

Liquid Liquid Phase Separation

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Physicochemical and mathematical modeling of phase separation processes in decane-(R4N)2[Nd(NO3)5]-aliphatic alcohol ternary liquid systems

Theoretical Foundations of Chemical Engineering ◽

10.1134/s004057951004038x ◽

2010 ◽

Vol 44 (4) ◽

pp. 574-579

Author(s):

A. K. Pyartman ◽

V. A. Keskinov ◽

P. V. Zaytsev ◽

N. A. Charykov ◽

V. V. Belova

Keyword(s):

Mathematical Modeling ◽

Phase Separation ◽

Aliphatic Alcohol ◽

Separation Processes ◽

Ternary Liquid Systems ◽

Liquid Systems

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Autocorrelation functions for phase separation in ternary mixtures

Physical Review E ◽

10.1103/physreve.70.051501 ◽

2004 ◽

Vol 70 (5) ◽

Cited By ~ 6

Author(s):

Sanjay Puri ◽

Deepak Kumar

Keyword(s):

Phase Separation ◽

Ternary Mixtures ◽

Autocorrelation Functions

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Numerical experiments of phase separation in ternary mixtures

Mathematics and Computers in Simulation ◽

10.1016/s0378-4754(99)00153-6 ◽

2000 ◽

Vol 52 (1) ◽

pp. 41-51 ◽

Cited By ~ 14

Author(s):

M.I.M. Copetti

Keyword(s):

Phase Separation ◽

Numerical Experiments ◽

Ternary Mixtures

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Prospects and expectations of ehealth services in north-lima from mathematical modeling and computational simulation

2015 Second International Conference on eDemocracy & eGovernment (ICEDEG) ◽

10.1109/icedeg.2015.7114467 ◽

2015 ◽

Cited By ~ 4

Author(s):

Huber Nieto-Chaupis

Keyword(s):

Mathematical Modeling ◽

Computational Simulation ◽

Ehealth Services

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The Mathematical Modeling and Computational Simulation for Error-Prone PCR

Bioinformatics ◽

10.4018/978-1-4666-3604-0.ch042 ◽

2013 ◽

pp. 798-804

Author(s):

Lixin Luo ◽

Fang Zhu ◽

Si Deng

Keyword(s):

Mathematical Modeling ◽

Enzyme Activity ◽

Quantitative Analysis ◽

Industrial Production ◽

Computational Simulation ◽

Catalytic Efficiency ◽

Computational Method ◽

Mathematical Principle ◽

Replication Process ◽

Modelling Error

Many enzymes have been widely used in industrial production, for they have higher catalytic efficiency and catalytic specificity than the traditional catalysts. Therefore, the performance of enzymes has attracted wide attention. However, due to various factors, enzymes often cannot show their greatest catalytic efficiency and the strongest catalytic ability in industrial production. In order to improve the enzyme activity and specificity, people become increasingly interested in the transformation and modification of existing enzymes. For the structure modification of proteinase, this chapter introduces a computational method for modelling error-prone PCR. Error-prone PCR is a DNA replication process that intentionally introduces copying errors by imposing mutagenic reaction condition. We then conclude about the mathematical principle of error-prone PCR which may be applied to the quantitative analysis of directed evolution in future studies.

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