Vorlesung: Method Course: Research Challenges in Biophysics - Details

Allgemeine Informationen

Veranstaltungsname	Vorlesung: Method Course: Research Challenges in Biophysics
Veranstaltungsnummer	PHM-0363
Semester	SS 2024
Aktuelle Anzahl der Teilnehmenden	7
erwartete Teilnehmendenanzahl	8
Heimat-Einrichtung	Lehrstuhl für Theoretische Physik II
Veranstaltungstyp	Vorlesung in der Kategorie Lehre
Art/Form	Method course
Veranstaltung findet in Präsenz statt / hat Präsenz-Bestandteile	Ja
Hauptunterrichtssprache	englisch
Weitere Unterrichtssprache(n)	deutsch
ECTS-Punkte	8

Lehrende

• Prof.Dr. Christoph Weber

Tutor/-innen

• Samuel Gomez
• Gaetano Granatelli

Räume und Zeiten

Keine Raumangabe

Studienbereiche

• Mathematisch-Naturwissenschaftlich-Technische Fakultät > Institut für Physik

Modulzuordnungen

• Physik Masterstudiengang Physik (ab WiSe 16/17), 16. Version (SS 2024) > Physikalischer Wahlbereich (ab WiSe 16/17) > PHM-0365 - Method Course: Research Challenges in Biophysics > Method Course: Research Challenges in Biophysics

Kommentar/Beschreibung

Students get exposed to exciting research challenges in the field of biophysics and statistical physics.
Topics range from :

- Phase separation kinetics of liquid mixtures
- Dynamics of simple fluids
- Kinetics of semi-dilute, elastic, and inelastic gases
- Self-propelled, aligning gases
- Motility-induced phase separation
- Long-range polar order in two-dimensional active systems
- Active Brownian motion
- Mixtures of hot and cold particles
- Stochastic chemical reaction kinetics at non-dilute conditions


Students will learn the following hard skills:

- fundamental non-equilibrium theories (hydrodynamic transport theories, kinetic theories, dynamic density functional theory, stochastic descriptions, and Ito’s stochastic calculus)
- coarse-graining methods (lattice-based, moment expansion, Mori-Zwanzig, …)
- analytical techniques (stability analysis, partial equilibria, multi-scale perturbation theories)
- simulations techniques (lattice gas automaton, Monte-Carlo, agent-based, stochastic particle dynamics, stochastic rotational dynamics, …),
- discretization methods (Gillespie, spectral method, finite differences, finite elements)
- programming in Python and/or C++

Students will learn the following soft skills:

- Students learn how to apply theoretical concepts from non-equilibrium thermodynamics
- They get trained to establish links between theoretical concepts and modern research problems
- They will build links between lecture and textbook knowledge and applied research question, providing excellent preparation for Master's and Ph.D. research in theoretical physics
- Students learn how to work in teams
- They get trained in autonomous working with scientific literature in English, improving written and spoken English during lectures and exercises,
- Students get stimulated to develop interdisciplinary thinking, and working