Vaikuntanathan Lab
@suri_lab
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Theoretical Chemistry group @UChiChemistry. Working on non-equilibrium statistical mechanics, biophysics, and materials.
Chicago, IL
Joined November 2019
Very happy to share new work by Cal (w Aaron and @murugan_chicago ) ! We show how the expressivity/computational ability of non-equilibrium biological processes may expected to be fundamentally limited.
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Check out new work by Deb in collaboration with Martin, Margaret Gardel, Aleks Walczak and Thierry Mora : on how simple mechanosensitive agents can enable learning mechanisms.
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We infer the minimal two dimensional equation from simulations using stochastic thermodynamics
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Check out new work by Jordan in collaboration with Aaron Dinner and @PVlahovska ! We consider minimal protocels under non-equilibrium growth conditions and extract low (2) dimensional rules to describe their shapes.
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Check out Jordan’s talk at the APS today on using thermodynamics to infer low dimensional growth laws for membranes !
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Check out Daiki’s talk today on the interplay between chemical reactions and muticomponent phase separation ( with connections to gated neural networks)
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Check out Anish's talk at the APS today on the interplay between memory capacity, learning, and finite resources !.
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RT @DSI_UChicago: In tomorrow’s entry of the @AI_and_Science Schmidt Fellows Speaker Series, @suri_lab discusses recent work with diffusion….
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RT @ML_Chem: Chemical waves in reaction-diffusion networks of small organic molecules #machinelearning #compchem
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Very happy to share new work in collaboration with @LabSemenov (and coworkers). Lissa and Yuqing analyzed the waves in latent space and found a low dimensional representation of the waves.
Check out our recent paper on chemical waves.Great job by Arpita @PaikarArpita , Xiuxiu, Suri team @suri_lab , Agota team, and all coauthors!.
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Check out new work by Cal on using Reinforcement Learning to control the dynamics of defects in an active nematic
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In some cases, adding these ``active" degrees of freedom helps with generative properties
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RT @realadityanandy: Check out our new work taking ideas from active matter and applying them to generative diffusion!.
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Check out new work by Alexandra, Agnish, Aditya and Cal on generative diffusion but with correlated or ``active" noise.
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We also speculate about how these ideas might be realizable
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Starting with a Hopfield like model we use numerical inference schemes to suggest that some non-equilibrium dynamics generate steady states with connectivity similar to those generated with so called ``Unlearning" schemes (example .
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Check out new work by Agnish and Matt Du on a potential connection between steady states generated by a class of non-equilibrium dynamics and ``Unlearning".
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RT @GiulioBiroli: Statistical Physics rocks! .2016, 2021, and (now!) 2024 Nobel prizes highlight the beauty, and the impact of this discipl….
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