AGGREGATION OF NANOPARTICLES IN 1D The C-S-H gel. RAQUEL GONZALEZ Low dimensional curse 22 February 2009.

Slides:



Advertisements
Similar presentations
Gelation Routes in Colloidal Systems Emanuela Zaccarelli Dipartimento di Fisica & SOFT Complex Dynamics in Structured Systems Università La Sapienza, Roma.
Advertisements

Molecular dynamics modeling of thermal and mechanical properties Alejandro Strachan School of Materials Engineering Purdue University
Transfer FAS UAS SAINT-PETERSBURG STATE UNIVERSITY COMPUTATIONAL PHYSICS Introduction Physical basis Molecular dynamics Temperature and thermostat Numerical.
Lecture 13: Conformational Sampling: MC and MD Dr. Ronald M. Levy Contributions from Mike Andrec and Daniel Weinstock Statistical Thermodynamics.
Reference Concrete Sidney Mindess J. Francis Young Prentice-Hall, Inc Chapters 3 and 4.
PC Cement Hydration PCC consists of binder and aggregates. Aggregates are typically used in two factions: fines and coarse. The binder phase normally.
Micromechanics Contribution to the Analysis of Diffusion Properties Evolution in Cement-Based Materials Undergoing Carbonation Processes Journées Scientifiques.
Incorporation of physical and chemical properties of fly ash in modeling hydration of ternary cementitious binders Graduate Assistant: Prasanth Tanikella.
Incorporating Solvent Effects Into Molecular Dynamics: Potentials of Mean Force (PMF) and Stochastic Dynamics Eva ZurekSection 6.8 of M.M.
 2D-to-3D Deformation Gradient:  In-plane stretch: 2D Green-Lagrange Strain Tensor:  Bending: 2D Curvature Tensor:  2 nd Piola-Kirchoff Stress and.
Applications of Mathematics in Chemistry
Coherency Sensitive Hashing (CSH) Simon Korman and Shai Avidan Dept. of Electrical Engineering Tel Aviv University ICCV2011 | 13th International Conference.
Cluster Phases, Gels and Yukawa Glasses in charged colloid-polymer mixtures. 6th Liquid Matter Conference In collaboration with S. Mossa, P. Tartaglia,
END-FUNCTIONALIZED TRIBLOCK COPOLYMERS AS A ROBUST TEMPLATE FOR ASSEMBLY OF NANOPARTICLES Rastko Sknepnek, 1 Joshua Anderson, 1 Monica Lamm, 2 Joerg Schmalian,
Faceting Transition of Gold Nano Materials Yanting Wang Advisors: Prof. Stephen Teitel, Prof. Christoph Dellago May 22, 2003 Department of Physics and.
Continuous Time Monte Carlo and Driven Vortices in a Periodic Potential V. Gotcheva, Yanting Wang, Albert Wang and S. Teitel University of Rochester Lattice.
Fractals Joceline Lega Department of Mathematics University of Arizona.
Joo Chul Yoon with Prof. Scott T. Dunham Electrical Engineering University of Washington Molecular Dynamics Simulations.
Compressive behavior and buckling response of carbon nanotubes (CNTs) Aswath Narayanan R Dianyun Zhang.
Science and Technology of Nano Materials
Algorithms and Software for Large-Scale Simulation of Reactive Systems _______________________________ Ananth Grama Coordinated Systems Lab Purdue University.
Optical and Structural Properties of Gold/DNA Nanocomposites Sung Yong Park and David Stroud, Physics Dep’t, Ohio State (DMR ) A gold/DNA composite.
CAREER: Gold Nanoparticles with Single Copy of Functional Groups: Synthesis and Study Qun Huo, University of Central Florida, DMR Chemical synthesis.
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Network Wei-Peng Chen, Jennifer C. Hou, Lui Sha.
Basic Research Program Multiscale Modeling of the Structure of Materials for Adaptive Protection 28 April 2009 Dr. Mei Chandler Geotechnical and Structures.
Study on Effective Thermal Conduction of the Nanoparticle Suspension Calvin Hong Li Department of Mechanical, Aerospace & Nuclear Engineering Rensselaer.
Computational issues in Carbon nanotube simulation Ashok Srinivasan Department of Computer Science Florida State University.
Molecular Dynamics Simulation Solid-Liquid Phase Diagram of Argon ZCE 111 Computational Physics Semester Project by Gan Sik Hong (105513) Hwang Hsien Shiung.
Light microscopy for real-time characterization of colloids and nanoparticles Ivan V. Fedosov, Saratov State University, Saratov, Russia Boris N. Khlebtsov,
Molecular Dynamics Study of Solidification in the Aluminum-Silicon System Supervisor: Dr. Jeffrey J Hoyt Peyman Saidi Winter 2013.
Force Fields and Numerical Solutions Christian Hedegaard Jensen - within Molecular Dynamics.
Binary Stochastic Fields: Theory and Application to Modeling of Two-Phase Random Media Steve Koutsourelakis University of Innsbruck George Deodatis Columbia.
First-Principles study of Thermal and Elastic Properties of Al 2 O 3 Bin Xu and Jianjun Dong, Physics Department, Auburn University, Auburn, AL
Test Architecture Design and Optimization for Three- Dimensional SoCs Li Jiang, Lin Huang and Qiang Xu CUhk Reliable Computing Laboratry Department of.
7. Lecture SS 2005Optimization, Energy Landscapes, Protein Folding1 V7: Diffusional association of proteins and Brownian dynamics simulations Brownian.
Molecular dynamics simulation of strongly coupled QCD plasmas Peter Hartmann 1 Molecular dynamics simulation of strongly coupled QCD plasmas Péter Hartmann.
Structure Formation, Melting and the Optical Properties of Gold/DNA Nanocomposites Sung Yong Park and David Stroud Department of Physics, Ohio State University,
  Satyendra Prakash Pal DEPARTMENT OF PHYSICAL SCIENCES
Capillary force between particles: Force mediated by a fluid interface Interactions between Particles with an Undulated Contact Line at a Fluid Interface:
Dynamical self-consistent field theory for kinetics of structure formation in dense polymeric systems Douglas J. Grzetic CAP Congress 2014 Advisor: Robert.
Molecular Modelling - Lecture 2 Techniques for Conformational Sampling Uses CHARMM force field Written in C++
Controlled Self-assembly of Colloidal Cobalt Nanocrystals Yuping Bao, Michael Beerman and Kannan M. Krishnan Cobalt Nanocrystals Synthesis BF TEM image.
Exploiting geometry to generate anisotropic interactions at the nanoscale and self-assembly of living clusters Angelo Cacciuto, Columbia University, DMR.
Pattern Formation via BLAG Mike Parks & Saad Khairallah.
1 NANOTECHNOLOGY IN CONSTRUCTION NANOTECHNOLOGY IN CONSTRUCTION Guided by, Prof.G. Krishnan sir Presented by Rahna meem Roll no:42.
Thermodynamics Phases (states) of Matter & Latent Heat States of Matter.
COLLOIDAL SILICA. AGENDA Colloidal silica chemistry -Physical characteristics -Types Colloidal silica manufacturing -Evaporator -Grow/UF -UltraXol Colloidal.
SEPARATION OF CHIRAL NANOTUBES WITH AN OPPOSITE HANDEDNESS BY OLIGOPEPTIDE ADSORPTION: A MOLECULAR DYNAMICS STUDY Giuseppina Raffaini Dipartimento di Chimica,
On the understanding of self-assembly of anisotropic colloidal particles using computer simulation methods Nikoletta Pakalidou1✣ and Carlos Avendaño1 1.
Computational Techniques for Efficient Carbon Nanotube Simulation
X. Wang, K. Wang, J. Han, P. Taylor
Made By: Mukul Srivastava Roll No. : (36) Section : A2
University of Leicester
Seminar On NANO CONCRETE
Adapted from Nanosense
On the understanding of self-assembly of anisotropic colloidal particles using computer simulation methods Nikoletta Pakalidou1✣ and Carlos Avendaño1 1.
DFT simulations of Li-ion conductor Li2(OH)Cl
Koen E. Merkus, Menno W.J. Prins, Cornelis Storm  Biophysical Journal 
Simulation of Self-Assembly of Ampiphiles Using Molecular Dynamics
CHAPTER 19: FIGURE 19C.4 PHYSICAL CHEMISTRY: THERMODYNAMICS, STRUCTURE, AND CHANGE 10E | PETER ATKINS | JULIO DE PAULA ©2014 W. H. FREEMAN AND.
Nanotechnology تقانة الصغائر.
Colloids Painted Black and White: Rotational Diffusion of MOON particles Steve Granick, Dept. of Materials Science and Engineering, University of Illinois.
Volume 110, Issue 3, Pages (February 2016)
Brownian Dynamics Simulation of DNA Condensation
Instructor: Yuntian Zhu
Computational Techniques for Efficient Carbon Nanotube Simulation
化工学院第七届国际交流月系列讲座 邀请人:王文俊 化学工程与生物工程学院 化学工程联合国家重点实验室(浙江大学)
Nat. Rev. Mater. doi: /natrevmats
Volume 110, Issue 3, Pages (February 2016)
Table 1. Geometric properties of steel tubes used
Presentation transcript:

AGGREGATION OF NANOPARTICLES IN 1D The C-S-H gel. RAQUEL GONZALEZ Low dimensional curse 22 February 2009

Introduction - The cement based materials. C-S-H gel: - Structural models - Colloidal models Aggregation - Brownian Cluster Dynamics: -Isotropic interactions -Non-isotropic interactions Preliminar results Conclusions and perspectives OUTLINE

INTRODUCTION

Wide range of properties Improving our life NANOPARTICLES

Can it be nano??

CEMENT BASED MATERIALS

C-S-H GEL

STRUCTURAL MODEL CalciumSiliconOxygenHydrogen Silicate chain Ca-O layer

5 nm sized Rounded particles Single Basic Building Block COLLOIDAL MODELS LD C-S-H HD C-S-H Basic Building Block JENNINGS MODEL

Drawbacks: Link between structural models and colloidal models Inner and Outer product 3D 1D TEM images

AGGREGATION

Existence of Inner and Outer product Two type of forces: Isotropic: V d W Directional AGGREGATION IN C-S-H GEL a b Geometrical restrictions!!

BROWNIAN CLUSTER DYNAMICS WITH ISOTROPIC INTERACTIONS

Stochastic processes Brownian Dynamics DESPLACEMENT PROPORTIONAL TO TIME

BROWNIAN CLUSTER DYNAMICS APPROACH clusters are built by forming randomly rigid bonds between neighboring particles with a probability P = 1- exp(u/kT) monomers/clusters move with no bond breaking nor overlap clusters are rebuilt at each time step Algorithm: V(r) Square well potential r 0 1 u a b

Thermodinamic relation E1 E nl Ea ∆E=E1-Enl α β

ISOTROPIC INTERACTIONS: DLCA AND RLCA LIMITS Depending on the probability α that particles form a bond at each collision. α = 1α → 0DLCARLCA (b) [11]

BROWNIAN CLUSTER DYNAMICS WITH NON ISOTROPIC INTERACTIONS

ANISOTROPIC SYSTEM directional interaction + isotropic interaction rotational +translational diffusion

ANISOTROPIC SYSTEM θ the interaction takes place Ω Ω

PRELIMINAR RESULTS

Isotropic interactions p= 0.37 AMORFUS 3D [9]

Non isotropic interactions: α1=1 β1=0.331 α2=1 β2=0 CRYSTALINE 1D [9]

CONCLUSIONS AND PERSPECTIVES

The method allows passing from a 3D structure to a 1D structure as we can see in the results. In cementitious materials there are two types of systems, the Inner and the Outer product, which correspond with the aggregation of particles in 1D or 3D. These preliminary results point out that the Basic Building Blocks are not a unique “black” particle they must be have something inside which makes them different. Some MD calculations point out that for similar morphology there are different structures formed.

CSH aggregation My work

[1] J.H. Liao, K.J. Chen, L.N. Xu, C.W. Ge, J. Wang, L. Huang, N. Gu, Appl. Phys. A, 76 (2003)541. [2] H.F.W. Taylor, “Cement chemistry”, Ed.Thomas Telford, 2nd Edition (1998). [3] E. Bonaccorsi, S. Merlino and H.F.W. Taylor, “The crystal structure of jennite, Ca9Si6O18(OH)6·8H2O”, Cement and Concrete Research, 34 (9) (2004). [4] E. Bonaccorsi, S. Merlino and A.R. Kampf, “The Crystal Structure of tobermorite 14 Å (plombierite), a C–S–H phase”, Journal of the American Ceramic Society, 88 (3) (2005). [5] H.M. Jennings, “A model for the microstructure of calcium silicate hydrate in cement paste”, Cement and Concrete Research, 30 (1) (2000). [6] A.J. Allen, R.C. Oberthur, D. Pearson, P.Schofield, C.R. Wilding, Development of the fine porosity and gel structure of hydrating cement systems, Phil mag B 56 (1987) [7] H.F. Taylor, proposed structure for calcium silicate hydrate gel, J Am Ceram Soc 69(6) (1986) [8] E. Allen, J. Henshaw, P. Smith,” A Review of Particle Agglomeration”, Issue1, (2001) [9] J.C. Gimel “Static and dynamical study of aggregating processes using a novel simulation technique: The Brownian Cluster Dynamics” (2007) [10] J. S Dolado, “A molecular Dynamics study of cementitious calcium silicate hydrate gels” Ceram.Soc. 90, 3938 (2007). [11] D.A. Weitz and J.S. Huang. Self similar structures and the kinetics of aggregation of gold colloids. Kinetic of aggregation and gelation. F.Family and D.P.Landau, Elsevier Science publishers, 19, (1984) REFERENCES