diffusion coefficient in molecular dynamics Search Results


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Molecular Dynamics Inc virtual molecular dynamics plugins membplugin/density profile tool/diffusion coefficient tool
Virtual Molecular Dynamics Plugins Membplugin/Density Profile Tool/Diffusion Coefficient Tool, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc zn 2+ diffusion coefficient
Zn 2+ Diffusion Coefficient, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc diffusion coefficient in molecular dynamics
Parameter space plots showing changes in the diffusion <t>coefficient</t> and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.
Diffusion Coefficient In Molecular Dynamics, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc li+ diffusion coefficient
Parameter space plots showing changes in the diffusion <t>coefficient</t> and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.
Li+ Diffusion Coefficient, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc binary mutual diffusion coefficients
Parameter space plots showing changes in the diffusion <t>coefficient</t> and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.
Binary Mutual Diffusion Coefficients, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc self-diffusivity coefficients from molecular dynamics simulations
Parameter space plots showing changes in the diffusion <t>coefficient</t> and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.
Self Diffusivity Coefficients From Molecular Dynamics Simulations, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc diffusion coefficients of cl
Parameter space plots showing changes in the diffusion <t>coefficient</t> and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.
Diffusion Coefficients Of Cl, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc rotational diffusion coefficient of a carbon nanotube in fluid
Parameter space plots showing changes in the diffusion <t>coefficient</t> and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.
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Molecular Dynamics Inc dynamics (md) schematics of calculation of the effective diffusion coefficient
Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion <t>coefficient.</t> (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [µg/µm2]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; Dbulk is diffusion coefficient far from surface).
Dynamics (Md) Schematics Of Calculation Of The Effective Diffusion Coefficient, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc anisotropic parallel self-diffusion coefficients near the calcite surface
Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion <t>coefficient.</t> (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [µg/µm2]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; Dbulk is diffusion coefficient far from surface).
Anisotropic Parallel Self Diffusion Coefficients Near The Calcite Surface, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc diffusion coefficients calculations
Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion <t>coefficient.</t> (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [µg/µm2]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; Dbulk is diffusion coefficient far from surface).
Diffusion Coefficients Calculations, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc dynamics simulated diffusion coefficient of methane in water
Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion <t>coefficient.</t> (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [µg/µm2]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; Dbulk is diffusion coefficient far from surface).
Dynamics Simulated Diffusion Coefficient Of Methane In Water, supplied by Molecular Dynamics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Parameter space plots showing changes in the diffusion coefficient and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.

Journal: Scientific Reports

Article Title: Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations

doi: 10.1038/s41598-020-71820-2

Figure Lengend Snippet: Parameter space plots showing changes in the diffusion coefficient and bead velocities with respect to σ and γ (obeying the following conditions: \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\upsigma }^{2}=2\upgamma {\mathrm{k}}_{\mathrm{B}}\mathrm{T}$$\end{document} σ 2 = 2 γ k B T ) as well as values of the exponent s (from the weight function of dissipative and random forces), at three values of the conservative repulsion force coefficient. Sub-plots show the diffusion coefficients in real units after time scale calibration based on the average velocities of DPD and coarse-grained MD water beads. The red horizontal line at the sub-plots shows the value of the diffusion coefficient of the target MD system.

Article Snippet: The diffusivity of the simulated system was calculated using the standard equation for the diffusion coefficient in molecular dynamics .

Techniques: Diffusion-based Assay

Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [µg/µm2]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; Dbulk is diffusion coefficient far from surface).

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [µg/µm2]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; Dbulk is diffusion coefficient far from surface).

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay

Mass release curve for diffusion of glucose molecules through porous medium with silica spheres as solids [47]. (a) Larger porosity. (b) Small porosity of 15% and complex geometry of pores. (c) Scaling functions for glucose-silica interaction; diffusion coefficient is D(h,c)=f Dbulk, where h is distance from solid surface and f is the scaling function. (d) Mass release curves for several porosities. (e) Equivalent diffusion coefficient in terms of concentration. Model size: 125,000 3D finite elements, 132,651 nodes.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Mass release curve for diffusion of glucose molecules through porous medium with silica spheres as solids [47]. (a) Larger porosity. (b) Small porosity of 15% and complex geometry of pores. (c) Scaling functions for glucose-silica interaction; diffusion coefficient is D(h,c)=f Dbulk, where h is distance from solid surface and f is the scaling function. (d) Mass release curves for several porosities. (e) Equivalent diffusion coefficient in terms of concentration. Model size: 125,000 3D finite elements, 132,651 nodes.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay, Concentration Assay

Agarose polymer gel model-2, with flux in x direction (AA) due to prescribed concentration difference between left and right boundary of the model (according to Ref. [47]). (a) Distribution of concentration at time t=1s, microstructural model; zero-values correspond to fibers. (b) Distribution of concentration and mass flux-x along line AA, microstructural (full line) and continuum (dashed) solution. (c) Distribution of concentration and mass flux-y along line BB, microstructural (full line) and continuum (dashed) solution. (d) Mass flux-x distribution at time t= 1s. Molecule of 6.25nm, linear dependence of bulk diffusion coefficient within gel.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Agarose polymer gel model-2, with flux in x direction (AA) due to prescribed concentration difference between left and right boundary of the model (according to Ref. [47]). (a) Distribution of concentration at time t=1s, microstructural model; zero-values correspond to fibers. (b) Distribution of concentration and mass flux-x along line AA, microstructural (full line) and continuum (dashed) solution. (c) Distribution of concentration and mass flux-y along line BB, microstructural (full line) and continuum (dashed) solution. (d) Mass flux-x distribution at time t= 1s. Molecule of 6.25nm, linear dependence of bulk diffusion coefficient within gel.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Polymer, Concentration Assay, Diffusion-based Assay

Agarose polymer gel model-3. (a) Mass release curves. (b) Equivalent diffusion coefficient.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Agarose polymer gel model-3. (a) Mass release curves. (b) Equivalent diffusion coefficient.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Polymer, Diffusion-based Assay

Reference volume for a typical composition of tissue. The domain includes extracellular space, cell membranes and cell interior. Boundary conditions: Concentrations at inlet outlet are increased from zero to 1M with small concentration gradient, while there is no flux though lateral surfaces. (a) Concentration field in the RV and graph of concentration along a line AB. (b) Mass release curve. (c) Diffusion coefficient for the equivalent homogenous continuum. Model size: 34,000 2D finite elements, 1684 fictitious 1D element, 34,281 nodes.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Reference volume for a typical composition of tissue. The domain includes extracellular space, cell membranes and cell interior. Boundary conditions: Concentrations at inlet outlet are increased from zero to 1M with small concentration gradient, while there is no flux though lateral surfaces. (a) Concentration field in the RV and graph of concentration along a line AB. (b) Mass release curve. (c) Diffusion coefficient for the equivalent homogenous continuum. Model size: 34,000 2D finite elements, 1684 fictitious 1D element, 34,281 nodes.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Concentration Assay, Diffusion-based Assay

Extracellular space of skin. (a) Fibrous structure according to [60]. (b) A simplified RV model. (c) Diffusion coefficient for free diffusion in the liquid (Dbulk) and equivalent diffusion coefficient. Model size: 125,000 3D finite elements, 132,651 nodes.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Extracellular space of skin. (a) Fibrous structure according to [60]. (b) A simplified RV model. (c) Diffusion coefficient for free diffusion in the liquid (Dbulk) and equivalent diffusion coefficient. Model size: 125,000 3D finite elements, 132,651 nodes.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay

(a) Collagen presence in reference volumes RV1-RV5. (b) Computed field of diffusion coefficient for protein. Model size: minimum size model RV1-48,474 2D elements, 952 fictitious 1D elements, 49,665 nodes; maximum size model RV2-196,048 2D elements, 3,846 fictitious 1D elements, 200,769 nodes.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: (a) Collagen presence in reference volumes RV1-RV5. (b) Computed field of diffusion coefficient for protein. Model size: minimum size model RV1-48,474 2D elements, 952 fictitious 1D elements, 49,665 nodes; maximum size model RV2-196,048 2D elements, 3,846 fictitious 1D elements, 200,769 nodes.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay

 Diffusion coefficient  [µm 2 /s] calculated from collagen content, and partitioning coefficient used for RV modeling. D 255 - diffusion in water-like media, aka nominal, and D 180 - diffusion across fibers.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Diffusion coefficient [µm 2 /s] calculated from collagen content, and partitioning coefficient used for RV modeling. D 255 - diffusion in water-like media, aka nominal, and D 180 - diffusion across fibers.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay, Membrane

Equivalent  diffusion coefficient  for each RV obtained using mass release curves

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Equivalent diffusion coefficient for each RV obtained using mass release curves

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay

Diffusion coefficient field for protein molecule, in [µm2/s]. (a) X-direction (DXmax = 19.2, DXmin = 5.4). (b) Y-direction (DYmax = 17.5, DYmin = 8.7). Model size: 35,418 2D elements, 35,418 nodes.

Journal: Computers in biology and medicine

Article Title: Mass release curves as the constitutive curves for modeling diffusive transport within biological tissue

doi: 10.1016/j.compbiomed.2016.06.026

Figure Lengend Snippet: Diffusion coefficient field for protein molecule, in [µm2/s]. (a) X-direction (DXmax = 19.2, DXmin = 5.4). (b) Y-direction (DYmax = 17.5, DYmin = 8.7). Model size: 35,418 2D elements, 35,418 nodes.

Article Snippet: From follows that the tangent to a mass release curve (normalized with respect to the area) geometrically determines the mass flux at a considered time, J i = ( dm dt ) i = tan α (2) and then, for a given gradient ( dc / dx ) i , D i = ( dm / dt ) i ( dc / dx ) i , no sum on i (3) Note that dm has dimension mass/(unit area) and dt is time (in seconds), hence tan α is the mass flux in eq. (2) , in, say [ μg / μm 2 s ]. fig ft0 fig mode=article f1 fig/graphic|fig/alternatives/graphic mode="anchored" m1 Open in a separate window caption a7 Mass release curves at a point of a continuum determined computationally. (a) Composite medium and small (reference volume RV) around a point P. (b) Schematics of microstructure and FE model for diffusion, with boundary conditions. (c) Molecular dynamics (MD) schematics of calculation of the effective diffusion coefficient. (d) Mass release curves obtained using FE model of RV, normalized to the inlet/outlet surface area, in, say, [ μg / μm 2 ]. (e) Change of diffusion coefficient with the distance from solid surface for three concentrations (distance is of nanometer size; D bulk is diffusion coefficient far from surface).

Techniques: Diffusion-based Assay