activity
19992026
most citedMetachronal wave and hydrodynamic interaction for deterministic switching rowers

97 citations · 664 across the 32 of their papers we have counts for

collaborators

32 papers

cond-mat.stat-mech2026

Alternative routes to universal diversity scaling in component systems: from proteomes to large language models

Andrea Mazzolini, Leonardo Agasso, Filippo Valle +3

Remarkably common statistical laws characterize the diversity scaling and its fluctuations across a wide range of complex "component systems". These regularities are often interpre…

q-bio.OT2025★ 2 cited

The Hands-On Growth Laws Theory Cookbook

Rossana Droghetti, Mattia Corigliano, Ludovico Calabrese +6

This tutorial covers the emerging field of coarse-grained cellular growth modeling, and aims to bridge the gap between theoretical foundations and practical application. By adoptin…

cond-mat.dis-nn2019★ 20 cited

Counting the learnable functions of structured data

Pietro Rotondo, Marco Cosentino Lagomarsino, Marco Gherardi

Cover's function counting theorem is a milestone in the theory of artificial neural networks. It provides an answer to the fundamental question of determining how many binary assig…

physics.soc-ph2018★ 34 cited

Zipf and Heaps laws from dependency structures in component systems

Andrea Mazzolini, Jacopo Grilli, Eleonora De Lazzari +3

Complex natural and technological systems can be considered, on a coarse-grained level, as assemblies of elementary components: for example, genomes as sets of genes, or texts as s…

q-bio.GN2017★ 22 cited

Statistics of shared components in complex component systems

Andrea Mazzolini, Marco Gherardi, Michele Caselle +2

Many complex systems are modular. Such systems can be represented as "component systems", i.e., sets of elementary components, such as LEGO bricks in LEGO sets. The bricks found in…

q-bio.GN2017★ 19 cited

Cell-to-cell variability and robustness in S-phase duration from genome replication kinetics

Qing Zhang, Federico Bassetti, Marco Gherardi +1

Genome replication, a key process for a cell, relies on stochastic initiation by replication origins, causing a variability of replication timing from cell to cell. While stochasti…