collaborators

7 papers

cond-mat.mtrl-sci2026

Structural Chart of Copper-Silver Nanoalloys through machine learning

Manoj Settem, Emanuele Telari, Antonio Tinti +2

Nanoalloys (or alloy nanoparticles) are an important class of materials that are promising for their functional properties. However, designing synthesis protocols to control their…

cond-mat.soft2024

Molecular origin of slippery behaviour in tethered liquid layers

Fabio Rasera, Isaac J. Gresham, Antonio Tinti +2

Slippery covalently attached liquid surfaces (SCALS) are a family of nanothin polymer layers with remarkably low static droplet friction, characterised by a low contact angle hyste…

physics.comp-ph2024

Inherent structural descriptors via machine learning

Emanuele Telari, Antonio Tinti, Manoj Settem +10

Finding proper collective variables for complex systems and processes is one of the most challenging tasks in simulations, which limits the interpretation of experimental and simul…

cond-mat.soft2024

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…

cond-mat.soft2024

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.soft2024

The surface tension of Martini 3 water mixtures

Lorenzo Iannetti, Sonia Cambiaso, Fabio Rasera +4

The Martini model, a coarse-grained forcefield for biomolecular simulations, has experienced a vast increase in popularity in the past decade. Its building-block approach balances…