NANS1004 Computational Nanosciences (2 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
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
Study materials
Material produced by other students and material given at the lectures.
Completion methods
Method 1
Method 2
Teaching (2 cr)
Lectures, compulsory attendance (one absence allowed, the following absences require extra work)
Project work, interview of a specialist and oral presentation
Smaller written tasks like self-assessment
Teaching
3/29–5/30/2022 Lectures
Independent study (2 cr)
Independent studying of methods
Project work, interview of a specialist and video presentation
Comprehesive written task