(Computational Materials Science)
CdSMATERIALS AND NANOTECHNOLOGY
Codice311CC
CFU6
PeriodoPrimo semestre
LinguaInglese
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Moduli | Settore/i | Tipo | Ore | Docente/i | |
COMPUTATIONAL MATERIALS SCIENCE | ING-IND/22 | LEZIONI | 48 |
|
- Providing a basic theoretical ground for the comprehension of molecular modeling techniques currently used in the field of life and material sciences
- Developing competencies in some of the most common computational methodologies used in molecular sciences
- Developing computational skills through tutorials and exercises
- Stimulating the students to study a scientific problem of their interest suitable to be treated with molecular modeling methodologies
Knowledge will be assessed via:
- ongoing assignments
- final oral exam
After the completion of the course, the students will be able to:
- Demonstrate effective communication skills through scientific presentations and reports
- Demonstrate the capability of understanding the scientific literature.
Skills will be assessed via:
- ongoing group assignments
- final oral exam
After the completion of the course, the students will be able to:
- understand the main computational methodologies used to study molecular systems.
- suggest a scientific problem of their interest suitable to be treated with molecular modeling methodologies.
- develop basic computational skills in molecular modeling through computational exercises.
Behaviors will be assessed via:
- ongoing group assignments
- final oral exam
Prerequisites: Basic undergraduate courses in Physics, Chemistry, and Biology.
The teaching is based on lectures, exercises, and teamwork. Teaching material is provided through the class website on the institutional platform.
The aim of the course is to provide an overview of the theories and methodologies currently used in various fields of computational molecular sciences, ranging from biomedical sciences to material sciences. A special focus will be devoted to those models and algorithms related to molecular simulation techniques, including enhanced sampling and free energy methods. Such models will be illustrated along with relevant examples taken from recent literature concerning different molecular modeling applications.
Molecular Modelling: Principles and Applications (2nd Edition), Leach
Understanding Molecular Simulation, Second Edition: From Algorithms to Applications (Computational Science) 2nd Edition, Frenkel
Additional articles and reference material will be provided in class.
Contact the teacher for the didactical material and course information.