Level of education
Bachelor's degree
ECTS
2 credits
Training structure
Faculty of Science
Description
General overview of the most commonly used calculation and modeling methods in the field of solid-state chemistry according to the spatial and temporal scales that can be studied with them:
(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.
Presentation of different calculation techniques: static and optimization calculations, molecular dynamics, and Monte Carlo.
The EU will offer lectures and practical classes. Two practical modeling assignments will be offered: modeling techniques in classical mechanics and quantum calculations.
CM: 11 a.m.
TD: 9 a.m.
Objectives
Students will learn about the main families of modeling techniques most commonly used in the field of solid-state chemistry and will know how to:
(a) What information can be obtained with each technique/method?
(b) Interpret the results of simple calculations in the context of a scientific publication.
Teaching hours
- Introduction to Modeling - TutorialTutorials9 a.m.
- Introduction to Modeling - LectureLecture11 a.m.
Mandatory prerequisites
Quantum mechanics, Newtonian physics, differential calculus.
Fick's laws (transport of matter).
Knowledge assessment
Final Exam
Syllabus
- Model definition, experimentation, and simulation.
- Modeling: major families, different scales that can be studied, and the methods suited to each. Added value of modeling compared to experimental data.
- Molecular mechanics:
o Force Fields: definition, different types of contributions to 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, intramolecular mode models. Different methods used to develop coarse-grained force fields. Critical interpretation 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 Program in Chemistry Secretariat
https://master-chimie.edu.umontpellier.fr/