Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Adriano Tiribocchi"'
Autor:
Antonio Lamura, Adriano Tiribocchi
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3008 (2021)
The phase separation of a two-dimensional active binary mixture is studied under the action of an applied shear through numerical simulations. It is highlighted how the strength of the external flow modifies the initial shape of growing domains. The
Externí odkaz:
https://doaj.org/article/e28cc45e7df043e0808a3f74e59cd609
Publikováno v:
Fluids, Vol 3, Iss 3, p 47 (2018)
The dynamics of a quasi two-dimensional isotropic droplet in a cholesteric liquid crystal medium under symmetric shear flow is studied by lattice Boltzmann simulations. We consider a geometry in which the flow direction is along the axis of the chole
Externí odkaz:
https://doaj.org/article/c6c896330c824627979c0481985f21ce
Autor:
Marco Lauricella, Letizia Chiodo, Fabio Bonaccorso, Mihir Durve, Andrea Montessori, Adriano Tiribocchi, Alessandro Loppini, Simonetta Filippi null, Sauro Succi
Publikováno v:
Communications in Computational Physics. 33:57-76
Physiological solvent flows surround biological structures triggering therein collective motions. Notable examples are virus/host-cell interactions and solvent-mediated allosteric regulation. The present work describes a multiscale approach joining t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e132fec3b02cff900bc78e89c8f9307
https://doi.org/10.4208/cicp.oa-2022-0046
https://doi.org/10.4208/cicp.oa-2022-0046
Autor:
Mihir Durve, Sibilla Orsini, Adriano Tiribocchi, Andrea Montessori, Jean-Michel Tucny, Marco Lauricella, Andrea Camposeo, Dario Pisignano, Sauro Succi
Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art object detector algorithm You Only Look Once (YOLO) and the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b4bab24e96ea248742647b4d8f52f23
http://arxiv.org/abs/2301.08189
http://arxiv.org/abs/2301.08189
Autor:
Sauro Succi, Fabio Bonaccorso, Mihir Durve, Marco Lauricella, Andrea Montessori, Adriano Tiribocchi
Publikováno v:
Springer INdAM Series ISBN: 9789811964619
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48dc883fc81cce1208605f7055656fc4
https://doi.org/10.1007/978-981-19-6462-6_19
https://doi.org/10.1007/978-981-19-6462-6_19
Autor:
Marco Lauricella, Michał Bogdan, Andrea Montessori, Jan Guzowski, Fabio Bonaccorso, Adriano Tiribocchi, Sauro Succi
Publikováno v:
Langmuir 37 (2021): 9026–9033. doi:10.1021/acs.langmuir.1c01026
info:cnr-pdr/source/autori:Montessori A.; Tiribocchi A.; Bogdan M.; Bonaccorso F.; Lauricella M.; Guzowski J.; Succi S./titolo:Translocation Dynamics of High-Internal Phase Double Emulsions in Narrow Channels/doi:10.1021%2Facs.langmuir.1c01026/rivista:Langmuir/anno:2021/pagina_da:9026/pagina_a:9033/intervallo_pagine:9026–9033/volume:37
Langmuir
info:cnr-pdr/source/autori:Montessori A.; Tiribocchi A.; Bogdan M.; Bonaccorso F.; Lauricella M.; Guzowski J.; Succi S./titolo:Translocation Dynamics of High-Internal Phase Double Emulsions in Narrow Channels/doi:10.1021%2Facs.langmuir.1c01026/rivista:Langmuir/anno:2021/pagina_da:9026/pagina_a:9033/intervallo_pagine:9026–9033/volume:37
Langmuir
We numerically study the translocation dynamics of double emulsion drops with multiple close-packed inner droplets within constrictions. Such liquid architectures, which we refer to as HIPdEs (high-internal phase double emulsions), consist of a terna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22bade38ac744051154e5fd9bc8e2270
https://doi.org/10.1021/acs.langmuir.1c01026
https://doi.org/10.1021/acs.langmuir.1c01026
Autor:
Adriano Tiribocchi, Andrea Montessori, Giorgio Amati, Massimo Bernaschi, Fabio Bonaccorso, Sergio Orlandini, Sauro Succi, Marco Lauricella
Publikováno v:
The Journal of Chemical Physics. 158:104101
A GPU-accelerated version of the lattice Boltzmann method for efficient simulation of soft materials is introduced. Unlike standard approaches, this method reconstructs the distribution functions from available hydrodynamic variables (density, moment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57db7d43c29cecf262af2457159fa4dc
https://doi.org/10.1063/5.0139850
https://doi.org/10.1063/5.0139850
Active fluid droplets are a class of soft materials exhibiting autonomous motion sustained by an energy supply. Such systems have been shown to capture motility regimes typical of biological cells and are ideal candidates as building-block for the fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00cdd81214cc9d2539950198dc7db174
https://doi.org/10.21203/rs.3.rs-1590608/v1
https://doi.org/10.21203/rs.3.rs-1590608/v1
In this perspective we take stock of the current state of the art of computational models for droplets microfluidics and we suggest some strategies which may open the way to the full-scale simulation of microfluidic phenomena with interfaces, from ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77e23fddaae43cb194a736f48f88ab3
https://hdl.handle.net/11590/433674
https://hdl.handle.net/11590/433674
Autor:
Mihir Durve, Adriano Tiribocchi, Fabio Bonaccorso, Andrea Montessori, Marco Lauricella, Michał Bogdan, Jan Guzowski, Sauro Succi
Deep neural networks are rapidly emerging as data analysis tools, often outperforming the conventional techniques used in complex microfluidic systems. One fundamental analysis frequently desired in microfluidic experiments is counting and tracking t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e73cee119e630228d8c73f375c543e0e
https://hdl.handle.net/11590/433669
https://hdl.handle.net/11590/433669