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ITP Seminars

If no changes are announced the seminars take place Tuesdays 2.00 pm until 4.00 pm in the conference hall in the H-building.

Wenn keine Änderungen angekündigt werden, finden die Seminare dienstags von 14.00 bis 16.00 Uhr im Konferenzsaal des H-Gebäudes statt.

Responsible:         Dr. Tyler S. Harmon   

December 2023

  • 12.12.2023 - A. Rawal, "Engineering a Family of Disordered Fiber Networks via a Unified Theory Approach"
  • 11.12.2023 - T. Hyman, "Biomolecular condensates and their implications for cell physiology and disease"

November 2023

  • 23.11.2023 - S. Jiang, "Breaking the Symmetry: from Janus Particles Assembly to In-Space Manufacturing"
  • 21.11.2023 - H. Yong, "The interplay between electrostatic and non-electrostatic interactions in the multivalent salt induced reentrant condensation of sparsely-charged polyelectrolytes"
  • 14.11.2023 - A. Nikoubashman, "Lessons learnt from coarse-grained molecular simulations of disordered proteins"
  • 07.11.2023 - D. Ryndyk, "Towards electro-mechanical molecular machines"

October 2023

  • 17.10.2023 - M. Ferrin,  "Mechanical regulation of endocytosis by protein condensate capillary forces"

July 2023

  • 11.07.2023 - T. S. Harmon, "Noise reduction with droplets of many components"

June 2023

  • 27.06.2023 - M. Lang, "Reversible networks and living polymers: insights from Monte Carlo simulations and mean field modeling"
  • 13.06.2023 - M. Werner, "Unsupervised learning of single chain conformation properties"

May 2023

  • 23.05.2023 - M. Grenzer, "Modeling of Photoinduced Grating Growth on Preoriented Azopolymer Films"
  • 09.05.2023 - R. Scholz, "Swelling and nanophase separation of amphiphilic star polymer networks" (via Zoom)

February 2023

  • 16.02.2023 - P. L. Muzzeddu,  Taxis of cargo-carrying microswimmers in traveling activity waves

January 2023

  • 24.01.2023 - C.-W. Li, Nanoparticle translocation through polymer brush decorated nanochannels: General principles
  • 10.01.2023 - M. Werner, Neural network based implicit solvent in the bond fluctuation model