activity
20142026
most citedHierarchical macro-nanoporous metals for leakage-free high-thermal conductivity shape-stabilized phase change materials

100 citations · 564 across the 24 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cond-mat.mes-hall2023

Voltage controlled iontronic switches: a computational method to predict electrowetting in hydrophobically gated nanopores

Gonçalo Paulo, Alberto Gubbiotti, Giovanni Di Muccio +1

Reliable and controllable switches are crucial in nanofluidics and iontronics. Ion channels in nature serve as a rich source of inspiration due to their intricate mechanisms modula…

cond-mat.soft2023★ 9 cited

Bubbles enable volumetric negative compressibility in metastable elastocapillary systems

Davide Caprini, Francesco Battista, Pawel Zajdel +11

Although coveted in applications, few materials expand when subject to compression or contract under decompression, i.e., exhibit the negative compressibility phenomenon. A key ste…

cond-mat.soft2023★ 13 cited

What keeps nanopores boiling

Alberto Giacomello

The liquid to vapour transition can occur at unexpected conditions in nanopores, opening the door to fundamental questions and new technologies. The physics of boiling in confineme…

cond-mat.mtrl-sci2023★ 24 cited

Structural transformations in Cu, Ag, and Au metal nanoclusters

Manoj Settem, Cesare Roncaglia, Riccardo Ferrando +1

Finite-temperature structures of Cu, Ag, and Au metal nanoclusters are calculated in the entire temperature range from 0 K to melting using a computational methodology that we prop…

cond-mat.mtrl-sci2023

Charting nanocluster structures via convolutional neural networks

Emanuele Telari, Antonio Tinti, Manoj Settem +3

A general method to obtain a representation of the structural landscape of nanoparticles in terms of a limited number of variables is proposed. The method is applied to a large dat…

cond-mat.mes-hall2023★ 70 cited

Hydrophobically gated memristive nanopores for neuromorphic applications

Gonçalo Paulo, Ke Sun, Giovanni di Muccio +6

Brain-inspired computing has the potential to revolutionise the current von Neumann architecture, advancing machine learning applications. Signal transmission in the brain relies o…

cond-mat.soft2023★ 9 cited

An atomistically informed multiscale approach to the intrusion and extrusion of water in hydrophobic nanopores

Gonçalo Paulo, Alberto Gubbiotti, Alberto Giacomello

Understanding intrusion and extrusion in nanoporous materials is a challenging multiscale problem of utmost importance for applications ranging from energy storage and dissipation…

cond-mat.soft2023★ 13 cited

Local grafting heterogeneities control water intrusion and extrusion in nanopores

Sonia Cambiaso, Fabio Rasera, Antonio Tinti +4

Hydrophobic nanoporous materials can be intruded by water only by exerting an external action, typically increasing pressure. For some materials, water extrudes when the pressure i…