New preprint https://t.co/SPbLaGER9M with Daniel Bruns and Jörg Rottler on connected networks and mechanical loss in amorphous solids! Support: @SBQMI_UBC@UBC@LIGO@Alliance_Can
What do Tetris, LIGO, Mirrors, and Amorphous Solids have in common? They are all connected... Connected Network Model for the Mechanical Loss of Amorphous Materials published in PNAS https://t.co/FnIVvwIPNA
New preprint out today: “Information Thermodynamics of Cellular Ion Pumps”. Led by talented undergraduate student Julián Jiménez-Paz, and working with @DavidASivak, we explore the thermodynamics of cellular ion pumps like the sodium-potassium pump.
Fun new paper by Callum @SFUPhysics, on energetically efficient multi-parameter driving of our favorite molecular motor (shout out F1!).
https://t.co/knY9Nejdo8
Supported by @NSERC_CRSNG@TIPS_SPIIE
Congratulations to Dean's Convocation Medal recipient from @SFU_Science, Matthew Leighton. Thesis Title: Stochastic Thermodynamics of Multicomponent Molecular Machines https://t.co/XifxheEHN3 #MySFUGrad
Interested in coarse-graining, irreversibility, or neural activity in the hippocampus?
If so, check out our new preprint exploring how maximizing the irreversibility preserved from microscopic dynamics leads to interpretable coarse-grained descriptions of biological systems!
Now out in @AnnualReviews of Physical Chemistry: @DavidASivak and I review recent work studying flows of free energy into, out of, and within molecular machines. These nanoscale protein machines convert energy within cells of all living organisms with remarkable efficiencies.
MERRY SCIENTIFIC CHRISTMAS
your present is this barbershop-inspired 7-part 7-song medley of my favourite Christmas songs with Added Empiricism
The First Nobel
Science Night
Single Cells
..AND MANY MORE
i spent hundreds of hours over the past two months arranging, singing, mixing, filming and editing this, including a 24-hour-straight work session on Christmas Eve, to get it out by Christmas
I like it a lot. the ending gives me shivers
Very excited to share our new paper out in PRL today (as an Editors’ Suggestion)! We unify thermodynamic geometry 🔥 and optimal transport 🥖 providing a coherent picture for optimal minimal-work protocols for arbitrary driving strengths 💪 and speeds ⏱️ ! https://t.co/FHm69Ts7yv
Fluctuation relations beyond physics: my group's latest numerical experiment finds Crooks in the UNO card game!
https://t.co/jXs0Wn7T03
(Aka what happens when you let your students be creative)
Out in @PhysRevE:
https://t.co/4CmyOj6B02
@SFUPhysics PhD student @MattLeighton5 remarkably generalizes his previous work on entropy-production bounds
https://t.co/rEpRKKC6WN
to position-dependent diffusion, underdamped dynamics, and non-multipartite dynamics
Very excited for this work led by Sam Bryant to be published, and with excellent viewpoint by @artemyte. We ask: Why does biology need to spend so much energy processing information?
Out in @PhysRevLett:
https://t.co/ZbLCGJuP8e
When can a Maxwell demon output more energy than it takes to run it? When the environment is out of equilibrium!
Great work from postdoc Jannik and collaborator Susanne @uhmanoa on a clear, intuitive demonstration of the information-theoretic costs associated with feedback control
Astronauts on the International Space Station continue to participate in the CARDIOBREATH study led by Dr. Blaber at @SFU. The study uses the Canadian Bio-Monitor to examine the impact of space flight on astronauts’ hearts & lungs.
Info: https://t.co/qbOBOYCQfH
Photo: CSA/NASA
Physics grad students, postdocs, staff & faculty joined with BPK students and postdocs for a march to the #SFU#SupportOurScience walkout today. We’re loving the creative signs!
Out today in @PhysRevLett: “Inferring Subsystem Efficiencies in Bipartite Molecular Machines”, with @DavidASivak@SFUPhysics. Check out the paper: https://t.co/sc0Rgy3b6B, or a synopsis in @PhysicsMagazine by @CSRDay: https://t.co/n9MRetkWY5 (1/7)