Course detail
Chemical Structure Modeling
FSI-TSMAcad. year: 2017/2018
The course is focused on acquiring basic knowledge in the field of computational chemistry in amount suitable for study of some engineering disciplines, e.g. nanotechnology. The course is oriented on obtaining practical skills in using chemical modelling software. Students will learn how a molecular geometry is represented in a computer and how the energy is calculated. At the end, students will learn how to use one of the commonly used modelling software packages.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
- compulsory co-requisite
Organic and Macromolecular Chemistry
Basic literature
Leach, A. Molecular Modelling: Principles and Applications, 2nd ed.; Prentice Hall: Harlow England; New York, 2001.
Manuály programů Gaussian (http://www.gaussian.com/) a AMBER (http://ambermd.org/)
Recommended reading
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Quantum Mechanics (introduction, Born-Oppenheimer approximation, potential energy surface concept, brief overview of methods and software packages)
3. Potential Energy Hypersurface (meaning, optimization methods, searching of local and global minima and transition states, calculation of thermodynamic properties)
4. Molecular Mechanics (force fields, long range interactions, solvent modelling, periodic boundary conditions, and overview of force fields)
5. Molecular Dynamics (time evolution of system, equations of motion, maintaining temperature and pressure, system properties, brief overview of software)
6. Special Methods (Monte Carlo simulations, coarse-grain models)
Computer-assisted exercise
Teacher / Lecturer
Syllabus