Skip to main content Skip to navigation

Events in Physics

Show all calendar items

Alex Rautu & Andrew Goldsborough, Warwick

- Export as iCalendar
Location: PS1.28

Bending Elasticity Measurements for Fluctuating Vesicles (Alex)

The mechanical properties of lipid membranes have been extensively studied over the past few decades [1]. Their ability to bend under very low stress is one of the main mechanical properties of such soft materials. This softness is characterised by a very small value of the bending modulus (on the order of 10 kBT). As a result, a flaccid vesicle can attain many thermally allowed shapes at constant volume, which leads the thin-walled vesicles to fluctuate (the so-called flicker phenomenon) [1]. Measurements of these thermal excitations have been used to estimate the bending modulus of red blood cells and artificial vesicles [2][3][4]. Here, we re-examine this methodology and discuss some of its limitations; e.g., video-microscopy gives only partial information in the sense that it provides a two-dimensional view of the three-dimensionally fluctuating vesicle. In order to overcome this technical limitation, we develop two new possible methods for inferring mechanical information about membranes from the projected intensity of fluorescent quasi-spherical vesicles.

[1] U. Seifert, Adv. Phys. 46, 13 (1997), [2] J. F. Faucon et al., J. Phys. (Paris) 50, 2389 (1989), [3] J. Pécréaux et al., Eur. Phys. J. E 13, 277 (2004), [4] P. Méléard et al., Eur. Phys. J. E 34, 116 (2011)

_______________________________________

The Strong Disorder Renormalisation Group in the age of Tensor Networks (Andrew)

We have developed a tensor network method of performing the numerical strong disorder renormalisation group (SDRG) approach [1] to the random 1D spin-1/2 Heisenberg model. The numerical SDRG can be reformulated as a randomly branching binary tree tensor network (TTN). This knowledge then enables us to perform a variational update to the network to improve accuracy as well as efficiently calculate expectation values and entanglement entropy. Furthermore, I will discuss how the geometry of the network is related to the physical properties that the network can model.

[1] T. Hikihara, A. Furusaki, and M. Sigrist, Phys. Rev. B, vol. 60, p. 12116, 1999.

Show all calendar items

Academic Leave Diary

Click here

 

Physics Days

Event listing

Research Group Events

Theory

CFSA

Astronomy

Particle Physics

Complexity

CSC

Condensed Matter Physics

.

Open Funder Deadlines


UKRI - Daphne Jackson Fellowship

Diamond Studentships 2024

.

UKRI Deadlines

Due to the implementation of a new UKRI funding system (TFS) there will be a fixed quarterly deadlines for some grants which would previously have been on open calls, this is to allow necessary system amendments and updates.

The first deadline after implementation will be 28th September 2023 and applies to those calls listed below:

EPSRC New Investigator Award

EPSRC Network Grant

EPSRC Post Doctoral Fellowship

EPSRC Open Fellowship

EPSRC Open Plus Fellowship

EPSRC Working with overseas scientists

EPSRC Standard research grant

EPSRC Discipline hopping in ICT

EPSRC Overseas travel grant