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다중규모 모사 Multiscale simulation for process development [Ch. 2]

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다중규모 모사

Multiscale simulation for process development

[Ch. 2]

in Computational multiscale modeling of fluids and solids by M.O. Steinhauser

Major: Interdisciplinary program of the integrated biotechnology

Graduate school of bio- & information technology Youngil Lim (N110), Lab. FACS

Youngil Lim (N110), Lab. FACS phone: +82 31 670 5207 (direct) phone: +82 31 670 5207 (direct)

Fax: +82 31 670 5445, mobile phone: +82 10 7665 5207 Fax: +82 31 670 5445, mobile phone: +82 10 7665 5207 Email:

Email: [email protected][email protected], homepage:, homepage:   http://facs.maru.nethttp://facs.maru.net

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+Time and space

+Four-dimensional space-time

+Isaac Newton’s Principia (1687): physical

modeling of the world (calculus: differential equation with time and space)

+Max Planck’s Quantum theory (1900):

+Einstein’s Principle of general relativity (1916)

Ch. 2. Multiscale computational material science

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Ch. 2.2 Material science in the scale

Earth D

atom

 1 Å

Atom Galaxy

D

earth

=13,000 km =1.3 10

17

Å

D

galaxy

=100, 000 light years

1.0 10

31

Å

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Ch. 2.2 Material science on multiscale

Fig. 2.1 (p32, Steinhauser, 2007).

Reducing Degree of Freedom

Instruments:

+ TEM (Transmission Electron Microscope) - resolution = 0.2nm

+ SEM (Scanning Electron Microscope) - resolution = 10nm

Length: 12 orders of magnitude (100 ~ 1012 )

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Ch. 2.3 Modeling

Fig. 2.6 (p38, Steinhauser, 2007).

Fig. 2.6. Galilei’s method (1638) of using experiments to test idealizations of theories which in turn are based on abstract mathematical principles

Model equation:

+ Newton’s classical mechanics (continuum-based modeling) - macroscopic state variables = T, P, V, S, F, G, , ij

- state variables are expressed as functions of x, y, z, and t.

+ Quantum theory (discrete atom modeling):

- position (r), momentum of molecules

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Ch. 2.4.2 Structure property paradigm

Microscopic structure determines macroscopic properties

Table 2.1 (p47, Steinhauser, 2007).

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Ch. 2.4.4 Numerical modeling and simulation

Fig. 2.9 (p56, Steinhauser, 2007).

Microscopic structure

determines macroscopic properties

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Ch. 2.4.5 Unification of physical theories

Fig. 2.10 (p57, Steinhauser, 2007).

Einstein (1916)

Newton (1687)

Reductionism in physics

Dirac (1931)

Plank (1900)

4 fundamental forces:

- weak interaction on quarks

- strong interaction on atomic nuclei

- electron-magnetic interaction on charged particles - gravitational interaction between astronomic objects

- Which force is the weakest ?

- First-principles = electro-magnetic + gravity forces

- ab initio = quantum theory

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Application of MSS (multi-scale simulation) to p-xylene SMB process development

1. Ustinov and Do (2004), Application of density functional theory (DFT) to analysis of energetic

heterogeneity and pore size distribution of activated

carbons, Langmuir, 20, p3791-3797.

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