309 citations · 3.4k across the 84 of their papers we have counts for
86 papers
Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach
Anna Braghetto, Enzo Orlandini, Marco Baiesi
Explainable and interpretable unsupervised machine learning helps understand the underlying structure of data. We introduce an ensemble analysis of machine learning models to conso…
Machine learning understands knotted polymers
Anna Braghetto, Sumanta Kundu, Marco Baiesi +1
Simulated configurations of flexible knotted rings confined inside a spherical cavity are fed into long-short term memory neural networks (LSTM NNs) designed to distinguish knot ty…
Topological Phases and Curvature-Driven Pattern Formation in Cholesteric Shells
Giuseppe Negro, Livio Nicola Carenza, Giuseppe Gonnella +2
We study the phase behaviour of cholesteric liquid crystal shells with different geometries. We compare the cases of tangential and no anchoring at the surface, focussing on the fo…
Brownian non-Gaussian diffusion of self-avoiding walks
Boris Marcone, Sankaran Nampoothiri, Enzo Orlandini +2
Three-dimensional Monte Carlo simulations provide a striking confirmation to a recent theoretical prediction: the Brownian non-Gaussian diffusion of critical self-avoiding walks. A…
Brownian non-Gaussian polymer diffusion and queing theory in the mean-field limit
Sankaran Nampoothiri, Enzo Orlandini, Flavio Seno +1
We link the Brownian non-Gaussian diffusion of a polymer center of mass to a microscopic cause: the polymerization/depolymerization phenomenon occurring when the polymer is in cont…
Polymers critical point originates Brownian non-Gaussian diffusion
Sankaran Nampoothiri, Enzo Orlandini, Flavio Seno +1
We demonstrate that size fluctuations close to polymers critical point originate the non-Gaussian diffusion of their center of mass. Static universal exponents and -- depen…