📢 Hot off the press The work has been Featured in Physics by American Physical Society and is also an Editor's suggestion from Physical Review Letters !! journals.aps.org/prl/abstract/1… Giorgio Nicoletti and Daniel M Busiello show that physical interactions and environmental changes are not always mixed up, but instead

Information theory helps disentangle internal interactions from noise in stochastic systems embedded in an external complex random environment Letter: go.aps.org/3kZeG2E Viewpoint: go.aps.org/3lkDPFt

I am super happy that my first PRL is out as an Editors' Suggestion + Physics Viewpoint! Together with Daniel M Busiello we show how to use information theory to disentangle internal interactions from the environmental changes in complex systems. journals.aps.org/prl/abstract/1…

With Giorgio Nicoletti, we show that environmental changes and internal interactions can be disentangled using information theory. Very pleased to see our work published on PRL! journals.aps.org/prl/abstract/1… Check also this great viewpoint in Physics: physics.aps.org/articles/v14/1…

#PRLtrending for the week of 2021-11-29 #physics #trending journals.aps.org/prl/abstract/1… journals.aps.org/prl/abstract/1… journals.aps.org/prl/abstract/1… journals.aps.org/prl/abstract/1…

It's out at last. We propose a model of ABC transporters that is thermodynamically consistent and fully reversible (yes, ABCs can even synthesise ATP from ADP as seen in experiments). And... 🥁🥁 ... 1/2 biorxiv.org/content/10.110…

Listen to the end. The final argument about science nails it.

New preprint out with Daniel M Busiello and Amos Maritan! We show that building effective low-dimensional models by minimizing the information loss leads to discontinuous transitions in the space of the optimal parameters arxiv.org/abs/2202.11067

Let me introduce our latest preprint: "The architecture of information processing in biological systems", a joint effort with Daniel M Busiello, Samir Suweis at Lab of Interdisciplinary Physics, @mat_bruzz, and Marco Dal Maschio! Link to the preprint and a thread👇 arxiv.org/abs/2301.12812

A novel theoretical framework unravels how processes in complex systems that occur at different timescales are coupled together at the functional level by sharing information. Read go.aps.org/3VUUxOy Giorgio Nicoletti Daniel M Busiello #openaccess #PRXcomplex #PRXjustpublished

Our latest work with Daniel M Busiello is out in Physical Review X! We combine ideas from multilayer networks, higher-order interactions, and information theory to study how stochastic processes are coupled across timescales Physical Review X A long 🧵 doi.org/10.1103/PhysRe…

Our latest work with Daniel M Busiello is out in Physical Review Letters! We combine information theory and stochastic thermodynamics to study how information can be efficiently transduced from hidden observables in noisy environments Physical Review Letters 🧵👇 journals.aps.org/prl/abstract/1…

Now published Physical Review Letters: Giorgio Nicoletti & Daniel M Busiello MPI-PKS Dresden combine information theory and stochastic thermodynamics to identify the fundamental principles behind the mechanisms used by living organisms to extract information from a noisy environment. doi.org/10.1103/PhysRe…