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An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation

An optimal scaling to computationally tractable dimensionless models: study of latex particles morphology formation
Authors: Simone Rusconi; Denys Dutykh; Arghir Zarnescu; Dmitri Sokolovski; Elena V. Akhmatskaya;

An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation

Abstract

In modelling of chemical, physical or biological systems it may occur that the coefficients, multiplying various terms in the equation of interest, differ greatly in magnitude, if a particular system of units is used. Such is, for instance, the case of the Population Balance Equations (PBE) proposed to model the Latex Particles Morphology formation. The obvious way out of this difficulty is the use of dimensionless scaled quantities, although often the scaling procedure is not unique. In this paper, we introduce a conceptually new general approach, called Optimal Scaling (OS). The method is tested on the known examples from classical and quantum mechanics, and applied to the Latex Particles Morphology model, where it allows us to reduce the variation of the relevant coefficients from 49 to just 4 orders of magnitudes. The PBE are then solved by a novel Generalised Method Of Characteristics, and the OS is shown to help reduce numerical error, and avoid unphysical behaviour of the solution. Although inspired by a particular application, the proposed scaling algorithm is expected find application in a wide range of chemical, physical and biological problems.

29 pages, 7 figures, 5 tables, 34 references, 3 appendices. Other author's papers can be downloaded at http://www.denys-dutykh.com/

Countries
Spain, France
Keywords

8220Wt, Multi-phase polymers, FOS: Computer and information sciences, [PHYS.PHYS.PHYS-CLASS-PH]Physics [physics]/Physics [physics]/Classical Physics [physics.class-ph], Generalised Method Of Characteristics PACS: 8105Zx, 82.20.Wt, population balance equations, FOS: Physical sciences, Schrödinger equation, [MATH.MATH-CA]Mathematics [math]/Classical Analysis and ODEs [math.CA], Applied Physics (physics.app-ph), Population Balance Equations, 510, [PHYS.PHYS.PHYS-COMP-PH]Physics [physics]/Physics [physics]/Computational Physics [physics.comp-ph], Computational Engineering, Finance, and Science (cs.CE), Dynamics of a system of particles, including celestial mechanics, Physics - Chemical Physics, [MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP], Computer Science - Computational Engineering, Finance, and Science, Chemical Physics (physics.chem-ph), Generalised Method Of Characteristics, 8710Ed, Variable mass, rockets, Mathematical modeling or simulation for problems pertaining to mechanics of particles and systems, Liquid crystals, [PHYS.PHYS.PHYS-ATM-PH]Physics [physics]/Physics [physics]/Atomic and Molecular Clusters [physics.atm-clus], multi-phase polymers, Physics - Applied Physics, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], dimensionless models, Computational Physics (physics.comp-ph), Dimensionless models, [CHIM.POLY]Chemical Sciences/Polymers, generalised method of characteristics, Closed and approximate solutions to the Schrödinger, Dirac, Klein-Gordon and other equations of quantum mechanics, 87.10.Ed, non-dimensionalization, [PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph], 81.05.Zx, Nondimensionalization, nondimensionalization, Physics - Computational Physics, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
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