160 likes | 270 Views
A Model of the Chemical Kinetics Exhibited by a Telechelic Polymer. Mark Wilson . Acknowledgements: Dr. Arlette Baljon Department of Physics, San Diego State University Dr. Avinoam Rabinovitch Department of Physics, Ben Gurion University of the Negev, Israel Joris Billen
E N D
A Model of the Chemical Kinetics Exhibited by a Telechelic Polymer Mark Wilson Acknowledgements: Dr. Arlette Baljon Department of Physics, San Diego State University Dr. Avinoam Rabinovitch Department of Physics, Ben Gurion University of the Negev, Israel Joris Billen PhD. Candidate, Department of Computational Science, SDSU
Overview • System of interest • Chemical kinetic model • Analytic solution • Stochastic simulation • Conclusions
General Polymeric Properties System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Fluid-like Micelle forming Transient network Concentration Temperature
Telechelic Polymer Simulation System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions • Implementation: Dr. Arlette Baljon, Department of Physics, Computational Biophysics group, SDSU • Polymeric chains • Functionalized end groups • Define aggregates • MD/MC simulation • Rich dynamics in equilibrium • Units of temperature
Aggregate Distribution System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions
Chemical Kinetic Model System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Assume simple reactions occur: Association Disassociation + Master equation:
Chemical Kinetic Model System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Track frequency of reactions occurring Using the master equation, solve for time averaged rates
Analytic Solution System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions System of coupled ODE’s Multiple solutions
Stochastic Simulation System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions • Gillespie stochastic algorithm • Probabilistic MC model • Based upon the given state of the system Aggregation probability density function – derived by Gillespie Aggregation probability frequency Probability at time that species and will aggregate/disassociate inside volume within Probability an aggregation event will take place in the interval regardless of its type
Stochastic Simulation System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Gillespie Algorithm • Calculate probabilities of each specific reaction occurring • Choose 2 random numbers: • Compute • integer satisfying • Update distribution and time
Stochastic Simulation Results System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Performed 10,000 reactions, averaged 500 simulations
Conclusions System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Development of kinetic model resulting in master equation Found solutions to master equation one physically real equilibrium solution spiraling, attractive eigenvalues Stochastic simulation Achieve known polymer distribution Simulation appears to be independent of initial conditions
Chemical Kinetic Model System of Interest Kinetic Model Analytic Solution Stochastic Simulation Conclusions Assume simple reactions occur: + Disassociation Association Master equation: