I MPACT OF THE FILLER FRACTION IN NC S G. Baeza et al. Macromolecules 2013 Multi-scale filler structure in simplified industrial nanocomposite systems.

Slides:



Advertisements
Similar presentations
Nanolatex based nanocomposites: control of the filler structure and reinforcement. A. Banc 1 *, A-C. Genix 1, C. Dupas, M. Chirat 1, S.Caillol 2, and J.Oberdisse.
Advertisements

Metabolic theory and ecological scaling Geoffrey WestJames Brown Brian Enquist.
Nucleation and Nanoparticle Growth in Flame Aerosol Process by USAXS Nikhil Agashe, Greg Beaucage, Doug Kohls – Dept. of Chemical and Materials Engineering,
Approaches to Data Acquisition The LCA depends upon data acquisition Qualitative vs. Quantitative –While some quantitative analysis is appropriate, inappropriate.
 Product design optimization Process optimization Reduced experimentation Physical system Process model Product model Product Market need Multiscale Modeling.
Anatoly B. Kolomeisky Department of Chemistry MECHANISMS AND TOPOLOGY DETERMINATION OF COMPLEX NETWORKS FROM FIRST-PASSAGE THEORETICAL APPROACH.
Statistical Full-Chip Leakage Analysis Considering Junction Tunneling Leakage Tao Li Zhiping Yu Institute of Microelectronics Tsinghua University.
Scattering Experiments
Bridging the solution divide: comprehensive structural analyses of dynamic RNA, DNA, and protein assemblies by small-angle X-ray scattering By Rambo and.
1 Hadronic In-Situ Calibration of the ATLAS Detector N. Davidson The University of Melbourne.
Calculation of Similarity (Chernoff et al. 1999, 2000, 2001) 1. Observed Similarity = mean of 200 random sub- samples of larger population at size of smaller.
Homework Answers (1-2 Worksheet)
Measurement and Evolution of Online Social Networks Review of paper by Ophir Gaathon Analysis of Social Information Networks COMS , Spring 2011,
L. Karklin, S. Mazor, D.Joshi1, A. Balasinski2, and V. Axelrad3
NanotechnologyNanoscience Modeling and Simulation Develop models of nanomaterials processing and predict bulk properties of materials that contain nanomaterials.
Computational Lab in Physics: Final Project Monte Carlo Nuclear Collisions: Glauber Model.
Increased surface area on nanoparticles
1 Theoretical Physics Experimental Physics Equipment, Observation Gambling: Cards, Dice Fast PCs Random- number generators Monte- Carlo methods Experimental.
STRUCTURE PECULIARITIES OF α- CRYSTALLIN STUDIED BY SMALL ANGLE NEUTRON AND X-RAY SCATTERING T.N. Murugova 1, O.I. Ivankov 1,5, A.I. Kuklin 1,3, K.O. Muranov.
Generalized Indirect Fourier Transformation (GIFT) (see B. Weyerich, J. Brunner-Popela & O. Glatter, J. Appl. Cryst. (1999) 32, Small- angle scattering.
Generalized Indirect Fourier Transformation (GIFT) (see J. Brunner-Popela & O. Glatter, J. Appl. Cryst. (1997) 30, Small-angle scattering of interacting.
1 A Bayesian statistical method for particle identification in shower counters IX International Workshop on Advanced Computing and Analysis Techniques.
1 M.Sc. Project of Hanif Bayat Movahed The Phase Transitions of Semiflexible Hard Sphere Chain Liquids Supervisor: Prof. Don Sullivan.
FIG. 5.1 Multiple scattering is viewed as a random walk of the photon in diffusing wave spectroscopy (DWS)
Simulations of associating polymers under shear J. Billen, M. Wilson, A.R.C. Baljon San Diego State University Funded by:
Structure Formation, Melting and the Optical Properties of Gold/DNA Nanocomposites Sung Yong Park and David Stroud Department of Physics, Ohio State University,
A computational study of shear banding in reversible associating polymers J. Billen +, J. Stegen *, A.R.C. Baljon + + Department of Physics, San Diego.
利用小角度X光散射、動態光散射探討二氧化矽/聚環氧乙烷 懸浮液之結構與作用力
J. Ilavsky#, P. Jemian§, L. Clapp&, R. Schwartz&
Top/QCD program (b) Higher Order EW + QCD Fixed order vs resummed Normalization (and peak position) stabilised by higher orders; –summation of leading.
= Step 2: The denominator remains the same. Step 3: Simplify the sum,
MD (here)MD*EXP (kcal/mole)  (D) D (cm/s) 298K ENHANCED H ION TRANSPORT AND HYDRONIUM ION FORMATION T. S. Mahadevan.
Thermal Multiscale Modeling of Nanoparticle based Materials Sebastian Volz 1, Jean-Jacques Greffet 1 Denis Rochais 2, Gilberto Domingues 2 and Karl Joulain.
10.4 Addition and Subtraction: Like Denominators.
A PLATFORM FOR MORPHOLOGICAL DIVERSITY I LYA P OTAPOV T AMPERE U NIVERSITY OF T ECHNOLOGY S TOCHASTIC S TRUCTURAL P LANT M ODELS.
Date of download: 7/5/2016 Copyright © 2016 SPIE. All rights reserved. A graph of the structure factor at volume fractions fv=0.001, 0.2, and 0.5 as a.
. Atomistic simulations of field evaporation in atom probe tomography S. Parviainen, F. Djurabekova, K. Nordlund.
Mapping of lateral spread Displacement hazard, Weber County, Utah
Properties of Real Numbers
My Equations Booklet.
Simulation of feature profile evolution for thin film processes involving simultaneous deposition and etching Nathan Marchack, Calvin Pham, John Hoang.
Dynamical correlations & transport coefficients
ENERGY LOADING AND DECAY OF N2 VIBRATION
Date of download: 12/26/2017 Copyright © ASME. All rights reserved.
تقييس وجوده (ادر 202) الاستاذه : نوره الهلالي
Geometrical Properties of Gel and Fluid Clusters in DMPC/DSPC Bilayers: Monte Carlo Simulation Approach Using a Two-State Model  István P. Sugár, Ekaterina.
NanoBPM Status and Multibunch Mark Slater, Cambridge University
Dynamical correlations & transport coefficients
Dynamic Light Scattering from Light Absorbing Solutions
Objective- To find the opposite of a sum or difference.
Objective- To find the opposite of a sum or difference.
Nanotechnology تقانة الصغائر.
an is a short hand way of writing
Volume 94, Issue 2, Pages (January 2008)
Patrick M. Boyle et al. JACEP 2018;4:
Daniel A. Beard, Tamar Schlick  Structure 
Low-Resolution Structures of Proteins in Solution Retrieved from X-Ray Scattering with a Genetic Algorithm  P. Chacón, F. Morán, J.F. Díaz, E. Pantos,
10.4 Addition and Subtraction: Like Denominators
Fig. 2. IONP characterization.
Volume 104, Issue 5, Pages (March 2013)
Volume 23, Issue 11, Pages (June 2013)
Multiscale Modeling and Simulation of Nanoengineering:
Fig. 2 CL-DMD modeling of FKBP.
Networks of CR and NCR cells in reeler layer 1
Fig. 2 The glucose binding and charge-switch study.
Fig. 4 Electrical properties of GAP multilayer conductors and small-angle x-ray scattering analysis for the percolation network of Au NPs in a PU matrix.
Fig. 3 Load dependence of friction force and corresponding COF.
Fig. 5 TEM observation of moganite.
Fig. 2 NP characterization.
Presentation transcript:

I MPACT OF THE FILLER FRACTION IN NC S G. Baeza et al. Macromolecules 2013 Multi-scale filler structure in simplified industrial nanocomposite systems silica/SBR studied by SAXS and TEM Structural Analysis 1

M ULTISCALE S TRUCTURE beadsaggregates network q -2.4 Artist view Tridimensionnal network built up from aggregates made of nanoparticles R bead  10 nm R agg  40 nm  si  (Quantitative Model) -Densification of the silica network -Aggregates remain similar d branch  120 nm

analysis G LOBAL V IEW : 3- LEVEL O RGANIZATION High-q : Bead form factor q si  R si (R 0 = 8.55 nm  = 27%) Medium-q : q agg  R agg (35 – 40 nm) Interactions Between Aggregates Low-q : q branch  Network branches (lateral dimension  150 nm), compatible with fractal aggregates (d  2.4). The network becomes denser and denser with  si  Artist view: network built up from Aggregates made of nanoparticles beadaggregatenetwork 3

Q UANTITATIVE ANALYSIS : A GGREGATE R ADIUS Subtraction of the fractal law Morphology of an aggregate R agg  si  q agg Kratky Plots allow to extract R agg Distribution Hypothesis q agg 4 d  2.4

Q UANTITATIVE MODEL Scattering law linking structure and form (polydisperse case) 1) D ETERMINATION OF N agg distribution Working hypothesis Calculation *Oberdisse, J.; Deme, B. Macromolecules 2002, 35 (11), * 5 R agg distribution

Semi-Empiric law from simulation Hard-Sphere Potential (PY like)  agg  Q UANTITATIVE MODEL Scattering law linking structure and form (polydisperse case) 2) D ETERMINATION OF S inter (q) app  Monte Carlo Simulation of polydisperse aggregates  Estimation of  agg : TEM  fract Same Working hypothesis 6 S app (q) depends on local  si in the branches =  agg inter

S ELF C ONSISTENT M ODEL  Final determination of  Results: decreases slightly  constant !  increases slightly  si (nm)   N agg 8.4%v %v % % I(q) is read Experimental I(q) = f(  )  saxs