Numerical Modeling of Nanoparticle Transport in Porous Media MATLAB/PYTHON Approach
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 166.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
17.06.2023
Verlag
Elsevier Science & Techn.Seitenzahl
430 (Printausgabe)
Dateigröße
42344 KB
Sprache
Englisch
EAN
9780323905121
Numerical Modeling of Nanoparticle Transport in Porous Media: MATLAB/PYTHON Approach focuses on modeling and numerical aspects of nanoparticle transport within single- and two-phase flow in porous media. The book discusses modeling development, dimensional analysis, numerical solutions and convergence analysis. Actual types of porous media have been considered, including heterogeneous, fractured, and anisotropic. Moreover, different interactions with nanoparticles are studied, such as magnetic nanoparticles, ferrofluids and polymers. Finally, several machine learning techniques are implemented to predict nanoparticle transport in porous media. This book provides a complete full reference in mathematical modeling and numerical aspects of nanoparticle transport in porous media.
It is an important reference source for engineers, mathematicians, and materials scientists who are looking to increase their understanding of modeling, simulation, and analysis at the nanoscale.
- Explains the major simulation models and numerical techniques used for predicting nanoscale transport phenomena
- Provides MATLAB codes for most of the numerical simulation and Python codes for machine learning calculations
- Uses examples and results to illustrate each model type to the reader
- Assesses major application areas for each model type
It is an important reference source for engineers, mathematicians, and materials scientists who are looking to increase their understanding of modeling, simulation, and analysis at the nanoscale.
- Explains the major simulation models and numerical techniques used for predicting nanoscale transport phenomena
- Provides MATLAB codes for most of the numerical simulation and Python codes for machine learning calculations
- Uses examples and results to illustrate each model type to the reader
- Assesses major application areas for each model type
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