Universität Wien
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260035 VU Multi-scale modeling of biomolecular systems (2025W)

5.00 ECTS (3.00 SWS), SPL 26 - Physik
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 02.10. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 09.10. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 16.10. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 23.10. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 30.10. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 06.11. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 13.11. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 20.11. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 27.11. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 04.12. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 11.12. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 18.12. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 08.01. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 15.01. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02
  • Thursday 22.01. 11:30 - 14:00 Seminarraum 18 Kolingasse 14-16, OG02

Information

Aims, contents and method of the course

Multiscale modeling techniques offer powerful tools to bridge across multiple scales, aimed at linking the emerging macroscopic behavior to the underlying microscale structure and mechanisms. In this course, we discuss the theoretical foundations and numerical applications of multiscale modeling for biomolecular systems, from the atomistic level up to the macroscopic continuum scale, with a focus on scale-bridging methodologies (including, among others, derivation of coarse-grained interactions for proteins, homogenization methods, and multiscale constitutive modeling).

Course Objectives:
- Understand the key principles and methodologies in computational modeling of biomolecular systems.
- Develop an understanding of how models at different scales can be integrated to study complex biomolecular phenomena.
- Learn to critically assess the strengths and limitations of computational models in biomolecular research.

Methods:
Weekly lectures with active participation of the students. Additional homework and relevant papers to read will be assigned. In the end of the course, students will select a pertinent research paper to study and present to their colleagues.

Assessment and permitted materials


The assessment will be done based on one graded homework (50% of the total grade) and a final presentation of a scientific paper from a multiscale modling topic in front of the colleagues during the last lectures (50% of the total grade). The graded homework will be assigned after about half of the semester and the presentation paper will be chosen by the student from a given selection.

Minimum requirements and assessment criteria

Minimum requirement: Active participation in the regular lecture meetings, submission of the graded homework and a final presentation of sufficient quality and depth of understanding. In numbers: 50% of the total points

Mark key:
100 - 89 points: mark 1
88 - 76 points: mark 2
75 - 63 points: mark 3
62 - 50 points: mark 4
< 50 points: fail

Examination topics

Topic of the presentation paper.

Reading list

- Liu, Wing Kam, Karpov, Eduard G., and Park. Harold S., Nano Mechanics and
Materials: Theory, Multiscale Methods and Applications. John Wiley & Sons, Ltd, 2006.
- Wang, Yong, and Zhou, Ruhong., A Practical Guide to Recent Advances in Multiscale Modeling and Simulation of Biomolecules. AIP Publishing LLC, 2023.

Association in the course directory

M-VAF A 2, M-VAF B, PM-SPEC

Last modified: Tu 21.10.2025 13:47