activity
20042026
most citedLiving clusters and crystals from low density suspensions of active colloids

161 citations · 1.1k across the 39 of their papers we have counts for

collaborators

43 papers

cond-mat.soft2026

Colloidal layer deposition with a controllable number of layers and compositional order

Akshaya Kumar Jena, Aashima Aashima, Pritam Kumar Jana +1

We design a system with a binary suspension of colloids and a surface that triggers the self-assembly of crystallites with a finite thickness. The proposed design allows controllin…

cs.LG2026

Equilibrium Propagation for Non-Conservative Systems

Antonino Emanuele Scurria, Dimitri Vanden Abeele, Bortolo Matteo Mognetti +1

Equilibrium Propagation (EP) is a physics-inspired learning algorithm that uses stationary states of a dynamical system both for inference and learning. In its original formulation…

cond-mat.stat-mech2025

Evolutionary chemical learning in dimerization networks

Alexei V. Tkachenko, Bortolo Matteo Mognetti, Sergei Maslov

We present a framework for chemical learning based on Competitive Dimerization Networks (CDNs) - systems in which multiple molecular species, e.g., proteins, DNA oligomers, or RNA…

quant-ph2024★ 3 cited

Equilibrium Propagation: the Quantum and the Thermal Cases

Serge Massar, Bortolo Matteo Mognetti

Equilibrium propagation is a recently introduced method to use and train artificial neural networks in which the network is at the minimum (more generally extremum) of an energy fu…

physics.bio-ph2023★ 1 cited

Chemotactic crawling of multivalent vesicles along ligand-density gradients

Hannah Sleath, Bortolo Mognetti, Yuval Elani +1

Living cells are capable of interacting with their environments in a variety of ways, including cell signalling, adhesion, and directed motion. These behaviours are often mediated…

cond-mat.soft2022★ 16 cited

Sliding across a surface: particles with fixed and mobile ligands

Janna Lowensohn, Laurie Stevens, Daniel Goldstein +1

A quantitative model of the mobility of functionalized particles at the interface is pivotal to understanding important systems in biology and nanotechnology. In this work, we inve…