NANS1004 Computational Nanosciences (2–4 cr)
Description
Viewpoints to computational research (material systems, methods, analysis, processes, computational infrastructure, practical aspects)
Overview of various computational methods (many-body methods, density-functional theory, tight-binding model, classical force fields, discretized continuum)
Suitability of different methods to investigate nanomaterial properties
Computational research at NanoScience Center of Jyväskylä
- Solving a computational nanoscience problem in practice
- Using one computational nanoscience method and a related software in a suitable computational environment
- Visualizing and summarizing results
- Preparing and presenting a report
Learning outcomes
At the end of this course, students are able to
relate computational research to purely experimental and theoretical research,
name the most common computational methods of nanoscience research,
describe the basic principles behind the methods,
differentiate and classify different methods of computational nanoscience with respect to their central approximations, quantum-mechanical characters, computational efficiencies and use,
give a presentation about one topic related to computational nanoscience,
justifiably choose the most appropriate computational methods once given the material system and the properties under investigation,
in future independently deepen their methodological knowledge on computational nanoscience.
- solve a computational nanoscience problem in practice,
- use one computational method with a related software in a suitable computational environment/infrastructure,
- make a report about the results and explain the results.
Study materials
Material produced by other students and material given at the lectures.
Completion methods
Method 1
Method 2
Lecture part (2 cr)
Active participation to the lectures, interview of a specialist, preparing and giving a presentation, writing a self-assessment, other tasks during lectures
Teaching
3/25–5/18/2025 Lectures
Independent computational project (2 cr)
Participation to the guided sessions, independent working with the given computational project, preparing a report about results and presenting them