Level of Education
4-year college degree
ECTS
2 credits
Training Structure
College of Sciences
Description
An overview of the most commonly used computational and modeling methods in the field of solid-state chemistry, categorized by the spatial and temporal scales that can be studied using these methods:
(1) Quantum calculations (Hartree-Fock, post-Hartree-Fock methods, DFT),
(2) Force-field-based modeling (atomistic and coarse-grained),
(3) Hybrid QMMM and AACG modeling.
Overview of various computational techniques: static and optimization calculations, molecular dynamics, and Monte Carlo simulations.
The EU will include lectures and lab sessions. Two modeling lab assignments will be offered: modeling techniques in classical mechanics and quantum calculations.
CM: 11:00 a.m.
TD: 9:00 a.m.
Objectives
Students will become familiar with the major categories of modeling techniques most commonly used in the field of solid-state chemistry and will be able to:
(a) What information can be obtained using each technique or method?
(b) Interpret the results of simple calculations in the context of a scientific publication.
Class Hours
- Introduction to Modeling - TutorialTutorials9:00 a.m.
- Introduction to Modeling - LectureLecture11:00 a.m.
Mandatory Prerequisites
Quantum mechanics, Newtonian physics, differential calculus.
Fick's laws (mass transport).
Knowledge Assessment
Final Exam
Course Outline
- Definition of models, experiments, and simulations.
- Modeling: the major categories, the different scales that can be studied, and the appropriate methods for each. The added value of modeling compared to experimental data.
- Molecular mechanics:
o Force Fields: definition, the different types of contributions to the classical potential, parameters: which ones and how to find them.
o Different resolutions: atomistic and coarse-grained. Examples of force fields for both resolutions. Different types of van der Waals interactions, charge models, and intramolecular mode models. The various methods used to develop coarse-grained force fields. Critical analysis of model choices.
- Modeling techniques: molecular dynamics and Monte Carlo.
- Introduction to sampling acceleration techniques.
- Introduction to Hybrid Modeling: QMMM and AACG Methods.
- Quantum mechanics.
Additional Information
Administrative contact(s):
Master's in Chemistry Office
https://master-chimie.edu.umontpellier.fr/