output
20172024
most citedEpidemic Threshold in Continuous-Time Evolving Networks

75 citations

14 papers

math.NA2024★ 8 cited

A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs

Dimitrios G. Patsatzis, Lucia Russo, Constantinos Siettos

We present a physics-informed neural network (PINN) approach for the discovery of slow invariant manifolds (SIMs), for the most general class of fast/slow dynamical systems of ODEs…

cond-mat.supr-con2022★ 5 cited

Reversible Tuning of Superconductivity in Ion-Gated NbN Ultrathin Films by Self-Encapsulation with a High- Dielectric Layer

Erik Piatti, Marco Colangelo, Mattia Bartoli +4

Ionic gating is a powerful technique for tuning the physical properties of a material via electric field-induced charge doping, but is prone to introduce extrinsic disorder and und…

math.DS2022★ 8 cited

Designing Social Distancing Policies for the COVID-19 Pandemic: A probabilistic model predictive control approach

Antonis Armaou, Bryce Katch, Lucia Russo +1

The effective control of the COVID-19 pandemic is one the most challenging issues of nowadays. The design of optimal control policies is perplexed from a variety of social, politic…

physics.optics2021★ 13 cited

Divergent effects of laser irradiation on ensembles of nitrogen-vacancy centers in bulk and nano-diamonds: implications for biosensing

Domingo Olivares-Postigo, Federico Gorrini, Valeria Bitonto +4

Ensembles of negatively charged nitrogen vacancy centers (NV-) in diamond have been proposed for sensing of magnetic fields and paramagnetic agents, and as a source of spin-order f…

cs.ET2021★ 23 cited

On stimulating fungi with Cortisol

Mohammad Mahdi Dehshibi, Alessandro Chiolerio, Anna Nikolaidou +4

Fungi cells are capable of sensing extracellular cues through reception, transduction and response systems which allow them to communicate with their host and adapt to their enviro…

cond-mat.mtrl-sci2021★ 46 cited

First-Principles Calculations of Exciton Radiative Lifetimes in Monolayer Graphitic Carbon Nitride Nanosheets: Implications for Photocatalysis

Michele Re Fiorentin, Francesca Risplendi, Maurizia Palummo +1

In this work, we report on the exciton radiative lifetimes of graphitic carbon nitride monolayers in the triazine- (gCN-t) and heptazine-based (gCN-h) forms, as obt…