Zobrazeno 1 - 10
of 998
pro vyhledávání: '"A. Montessori"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Active fluid droplets are relevant for development of bio-inspired soft materials, however their motion in heterogeneous surrounding environments remains challenging. The authors uncover the role of adhesion forces for a variety of dynamic regimes of
Externí odkaz:
https://doaj.org/article/3d20e9e152e94ee59b7d5948514d43fe
Autor:
A. Tiribocchi, A. Montessori, M. Lauricella, F. Bonaccorso, S. Succi, S. Aime, M. Milani, D. A. Weitz
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Multi-emulsion droplets may lead to improved designs of soft materials or drug formulations. Tiribocchi et al. show that in typical situations expected during microfluidic post-processing, the dynamical distribution of emulsified droplets is dictated
Externí odkaz:
https://doaj.org/article/d97a8a97b42541968e3683410a93faeb
Autor:
Durve, Mihir, Tucny, Jean-Michel, Orsini, Sibilla, Tiribocchi, Adriano, Montessori, Andrea, Lauricella, Marco, Camposeo, Andrea, Pisignano, Dario, Succi, Sauro
We introduce a two-step, fully reversible process designed to project the outer shape of a generic droplet onto a lower-dimensional space. The initial step involves representing the droplet's shape as a Fourier series. Subsequently, the Fourier coeff
Externí odkaz:
http://arxiv.org/abs/2407.04863
Over the last decade, the Lattice Boltzmann method has found major scope for the simulation of a large spectrum of problems in soft matter, from multiphase and multi-component microfluidic flows, to foams, emulsions, colloidal flows, to name but a fe
Externí odkaz:
http://arxiv.org/abs/2405.14551
Autor:
Durve, Mihir, Tucny, Jean-Michel, Bhamre, Deepesh, Tiribocchi, Adriano, Lauricella, Marco, Montessori, Andrea, Succi, Sauro
The shape of liquid droplets in air plays an important role in aerodynamic behavior and combustion dynamics of miniaturized propulsion systems such as microsatellites and small drones. Their precise manipulation can yield optimal efficiency in such s
Externí odkaz:
http://arxiv.org/abs/2403.15797
In this work an optimized multicomponent lattice Boltzmann (LB) model is deployed to simulate axisymmetric turbulent jets of a fluid evolving in a quiescent, immiscible environment over a wide range of dynamic regimes. The implementation of the multi
Externí odkaz:
http://arxiv.org/abs/2403.15773
Autor:
Succi, Sauro, Montessori, Andrea
We present a mathematical and computational framework to couple the Keldysh non equilibrium quantum transport formalism with a nanoscale lattice Boltzmann method for the computational design of quantum-engineered nanofluidic devices.
Comment: To
Comment: To
Externí odkaz:
http://arxiv.org/abs/2403.15768
Autor:
Guglielmo, Gianmarco, Montessori, Andrea, Tucny, Jean-Michel, La Rocca, Michele, Prestininzi, Pietro
Application of Neural Networks to river hydraulics is fledgling, despite the field suffering from data scarcity, a challenge for machine learning techniques. Consequently, many purely data-driven Neural Networks proved to lack predictive capabilities
Externí odkaz:
http://arxiv.org/abs/2403.08589
Publikováno v:
AIP Advances, Vol 10, Iss 9, Pp 095304-095304-9 (2020)
Bicontinuous interfacially jammed emulsion gels (“bijels”) represent a new class of soft materials made of a densely packed monolayer of solid particles sequestered at the interface of a bicontinuous fluid. Their mechanical properties are relevan
Externí odkaz:
https://doaj.org/article/7403b8379969415e8c4fa0e6b79135e9
Autor:
Montessori, Andrea, La Rocca, Michele, Amati, Giorgio, Lauricella, Marco, Tiribocchi, Adriano, Succi, Sauro
We present a highly-optimized thread-safe lattice Boltzmann model in which the non-equilibrium part of the distribution function is locally reconstructed via recursivity of Hermite polynomials. Such a procedure allows the explicit incorporation of no
Externí odkaz:
http://arxiv.org/abs/2401.17074