Joining instructions were sent out on May 30th
Professor Judith Armitage (University of Oxford)
Dr Tom Montenegro-Johnson (University of Birmingham)
Dr Adam Townsend (Durham University)
Dr Elizabeth Murphy (Stockholm University)
Dr Lloyd Fung (University of Cambridge)
Dr Smitha Maretvadakethope (University of Liverpool)
09:15-09:30 Welcome
09:30-10:30 Session with Professor Judith Armitage
10:30-10:45 Break
10:45-11:45 Session with Dr Elizabeth Murphy
11:45-12:00 Break
12:00-13:00 Session with Dr Lloyd Fung
13:00-14:00 Lunch break
14:00-15:00 Session with Dr Tom Montenegro-Johnson
15:00-15:15 Break
15:15-16:15 Session with Dr Adam Townsend
16:15:16:30 Break
16:30-17:30 Session with Dr Smitha Maretvadakethope
17:30-17:40 Closing
The majority of bacterial species swim in liquid or glide on surfaces, but are too small to spatially sense gradients and are constantly buffeted by their environment. They have to bias their random pattern of movement to move towards an optimum environment.
I will discuss how bacteria sense changes in their environment to modify patterns of movement and how they use a molecular memory to respond to small percentage changes over 6 orders of magnitude background concentration. I will also describe how when swimming Pseudomonas encounter a surface they “decide” whether to stay and form a biofilm or crawl over the surface as a spreading colony. If I have time I will touch on what we know about gliding motility.
An introduction to biofouling at the macro scale- the effects of biofouling on hydrodynamics in engineered and ecological contexts.
Duality of suspension
Strategies to model swimmer suspension
The Smoluchowski equation and the Doi-Saintillan-Shelley Model
Ways to reduce the Smoluchowski equation
Pedley and Kessler Model
Generalised Taylor Dispersion model
The local approximation model
Interested in numerical modelling on the micron scale, but don't know what hydrodynamic models are out there? This is the session for you! In this session you will be introduced to a range of different methods, such as resistive force theory, regularized Stokeslets, the Rotne-Prager-Yamakawa method, etc. The aim of this session is to bridge the gap between theories and methods to help you decide what is the best approach for you.
Shortly after starting my maths PhD, I came up against a numerical problem that required writing some code. I had some programming experience (as a hobby, making daft websites and that sort of thing) but was surprised at how little of it was transferrable to computing specifically for science. In the ten years since, as I’ve worked my way through a bunch of scientific computing problems related mostly to fluid dynamics, I’ve picked up a bunch of tips which I think I would have liked to have known from the beginning. This talk modestly aims to fill that gap! I will include honest reflections on a bunch of tools that the audience might be using, or might want to use. For the novice, I hope to provide a broad sense of the landscape and a bunch of tips on where to start. For the expert, I hope to provide little bits of experience which boosted my productivity and might boost yours.
The Microscope made the microscale world visible. Mathematics made the microscale world quantifiable. Now, recent advances in manufacturing have made the microscale world engineerable. This capability rasies the question, "to what extent can we create swimming microscale robots that can perform useful work"?
This workshop will cover a description of the physics of microscale swimming, a discussion on the forms of propulsion employed by current microbot designs, an assesment of current bottlenecks and unresolved questions, concluding with a perspective on future research directions.