Friederike Schmid

Dr. Friederike Schmid


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 May 2017 in Journal of Chemical Theory and Computation
Verified
Journal Article
Closed access
GJGerhard Jung
Gerhard Jung
MHMartin Hanke
Martin Hanke
FSFriederike Schmid
Friederike Schmid

13 May 2021 in The Journal of Physical Chemistry B
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Journal Article
Open access
VKViktor Klippenstein
Viktor Klippenstein
MTMadhusmita Tripathy
Madhusmita Tripathy
GJGerhard Jung
Gerhard Jung
FSFriederike Schmid
Friederike Schmid
NVNico van der Vegt
Nico van der Vegt
Preserving the correct dynamics at the coarse-grained (CG) level is a pressing problem in the development of systematic CG models in soft matter simulation. Starting from the seminal idea of simple time-scale mapping, there have been many efforts over the years toward establishing a meticulous connection between the CG and fine-grained (FG) dynamics based on fundamental statistical mechanics approaches. One of the most successful attempts in this context has been the development of CG models based on the Mori–Zwanzig (MZ) theory, where the resulting equation of motion has the form of a generalized Langevin equation (GLE) and closely preserves the underlying FG dynamics. In this Review, we describe some of the recent studies in this regard. We focus on the construction and simulation of dynamically consistent systematic CG models based on the GLE, both in the simple Markovian limit and the non-Markovian case. Some recent studies of physical effects of memory are also discussed. The Review is aimed at summarizing recent developments in the field while highlighting the major challenges and possible future directions.

14 November 2022 in ACS Polymers Au
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Journal Article
Open access
FSFriederike Schmid
Friederike Schmid

4 March 2013 in Proceedings of the National Academy of Sciences
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Journal Article
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SMSebastian Meinhardt
Sebastian Meinhardt
RVRichard L. C. Vink
Richard L. C. Vink
FSFriederike Schmid
Friederike Schmid
According to the lipid raft hypothesis, biological lipid membranes are laterally heterogeneous and filled with nanoscale ordered “raft” domains, which are believed to play an important role for the organization of proteins in membranes. However, the mechanisms stabilizing such small rafts are not clear, and even their existence is sometimes questioned. Here, we report the observation of raft-like structures in a coarse-grained molecular model for multicomponent lipid bilayers. On small scales, our membranes demix into a liquid ordered ( lo ) phase and a liquid disordered ( ld ) phase. On large scales, phase separation is suppressed and gives way to a microemulsion-type state that contains nanometer-sized lo domains in an ld environment. Furthermore, we introduce a mechanism that generates rafts of finite size by a coupling between monolayer curvature and local composition. We show that mismatch between the spontaneous curvatures of monolayers in the lo and ld phases induces elastic interactions, which reduce the line tension between the lo and ld phases and can stabilize raft domains with a characteristic size of the order of a few nanometers. Our findings suggest that rafts in multicomponent bilayers might be closely related to the modulated ripple phase in one-component bilayers.

11 December 2020 in Soft Matter
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Journal Article
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AJAmir Jangizehi
Amir Jangizehi
FSFriederike Schmid
Friederike Schmid
PBPol Besenius
Pol Besenius
KKKurt Kremer
Kurt Kremer
Sebastian SeiffertSebastian Seiffert
Sebastian Seiffert
Defect engineering is a success story in crystalline hard matter; this review summarizes its parallels in amorphous soft matter.

5 January 2017 in Nanoscale
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Journal Article
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GSGiovanni Settanni
Giovanni Settanni
JZJiajia Zhou
Jiajia Zhou
TSTongchuan Suo
Tongchuan Suo
SSSusanne Schöttler
Susanne Schöttler
KLKatharina Landfester
Katharina Landfester
VMVolker Mailänder
Volker Mailänder
The affinity of protein surface amino acids for poly(ethylene glycol) is used to build a quantitative model of protein adsorption on PEGylated nanoparticles.