Check out new work by Agnish, Matt and co-workers. Active, persistent dynamics can mimic Hebbian “unlearning,” hinting that nonequilibrium physics offers a new route to sharpen associative recall in neural nets. go.aps.org/49O1yHO @uchichemistry.bsky.social

Yes, Congrats Anna !!!

Preprint 🚨! B cells form localized patterns in the immune synapse when mature, allowing improved affinity discrimination. How? We suggest a new mechanism using dynamic active forces and feedback! Read more @ arxiv.org/abs/2510.18771. Great colab with Shenshen Wang, Tom Chou and Tony Wong (UCLA).

This paper was a truly @uchichemistry.bsky.social team effort, jointly led by Shannon Lu, Matt Styles, and Frank Gao with me, Aaron Dinner, and @vaikuntsuri.bsky.social – along with a critical support cast. 12/12

Check out arxiv.org/abs/2507.07295 by Cal Floyd where we derived the new non-equilibrium thermodynamic constraint: Intuitively, it says that if we know a system's response at low drive, it will have the same sign at arbitrarily high drive— no matter how close or far from equilibrium !!

Very happy to share work by Cal Floyd now out in Nature Communications nature.com/articles/s41... . We show that the "expressivity" of biophysical decision making circuits is constrained in unexpected ways by non-equilibrium thermodynamics.

This is was a wonderful collaboration ! Hopefully many more ! :)

check out new work by Deb in collaboration with Martin, @squishycell.bsky.social , Aleks Walczak and Thierry Mora : arxiv.org/abs/2504.15107 o on how simple mechanosensitive agents can enable learning mechanisms

Check out new work by Jordan in collaboration with Aaron Dinner and Petia Vlahovska ! arxiv.org/abs/2503.24120 We consider minimal protocels under non-equilibrium growth conditions and extract low (2) dimensional rules to describe their shapes.

Very happy to share new work in collaboration with Sergey Semenov and coworkers. Lissa and Yuqing analyzed the waves in latent space and found a low dimensional representation of the waves. pubs.rsc.org/en/content/a...

Very excited to share a thread about our new preprint! It's a highly collaborative project, w key contributions from @josephlannan.bsky.social (in my lab) @bhamlalab.bsky.social (+ GS Luke Xu), Dinner Lab (+ PD Cal Floyd), Jerry Honts, Marshall lab (+ GS Connie Yan), and Suri Vaikuntanathan 1/13

We need to have a ‘code of conduct’ for reviewing manuscripts, like (1) if you say that something is not novel then provide the reference. (2) If you propose an experiment, state precisely to which claim it is crucial. (3) If you want to say something nasty then sign your name.

Check out new work by Cal on using Reinforcement Learning to control the dynamics of defects in an active nematic arxiv.org/abs/2411.09588

(Older post from the other side) Very happy to share work by Cal (w Aaron and Arvind Murugan ) arxiv.org/abs/2409.05827 ! We show how the expressivity/computational ability of non-equilibrium biological processes may expected to be fundamentally limited.

Check out new work arxiv.org/abs/2411.07233 by Alexandra, Agnish, Aditya and Cal on generative diffusion but with correlated or ``active" noise.

@chembiobryan.bsky.social ok I followed you and @krishnanyamuna.bsky.social