Your browser does not support JavaScript!

Home    Collections    Type of Work    Post-graduate theses  

Post-graduate theses

Current Record: 4602 of 6540

Back to Results Previous page
Next page
Add to Basket
[Add to Basket]
Identifier 000412825
Title Stochastic and deterministic parametrization of coarse graining models for molecular systems
Alternative Title Στοχαστική και ντετερμινιστική παραμετροποίηση μοντέλων αδροποίησης για μοριακά συστήματα
Author Χαζηράκης, Αντώνιος
Thesis advisor Χαρμανδάρης, Βαγγέλης
Reviewer Ζουράρης, Γεώργιος
Καλλιγιανάκη, Ευαγγελία
Abstract Molecular dynamics (MD) simulations study the physical movement of atoms, providing valuable insight for a variety of physical systems. Despite of the modern advances to the available computational resources, the length and time scales of the physical systems un- der study are still limited. The only remedy is the use of mathematical methods in order to reduce the dimensionality of the physical system under study. The most often used methodology for doing that is Coarse Graining (CG). Coarse graining methodologies have both mathematical as well as computational and numerical challenges. We experi- ment with three different methods of coarse graining, the Iterative Boltzmann Inversion (IBI) method, the Force Matching (FM or MSCG) method and the Relative Entropy (RE) method, for a variety of physical systems and compare the results. The IBI method finds the CG potential that reproduces the atomistic pair correlation function. The FM method finds the CG potential that minimizes the mean distance between the atomistic and the CG forces. The RE method finds the potential that minimizes the difference between the atomistic and CG coordinate probability distributions. The numerical treat- ment of the IBI and FM methods is deterministic, although it involves calculation of expectations. The RE method not only involves calculation of expectations, but also performs minimization using the stochastic Robins-Monro scheme.
Language English
Issue date 2017-11-24
Collection   School/Department--School of Sciences and Engineering--Department of Mathematics and Applied Mathematics--Post-graduate theses
  Type of Work--Post-graduate theses
Permanent Link https://elocus.lib.uoc.gr//dlib/d/a/8/metadata-dlib-1512034410-566669-5277.tkl Bookmark and Share
Views 681

Digital Documents
No preview available

Download document
View document
Views : 28