Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Marco Lauricella"'
Publikováno v:
Polymers, Vol 14, Iss 21, p 4529 (2022)
The radical polymerization process of acrylate compounds is, nowadays, numerically investigated using classical force fields and reactive molecular dynamics, with the aim to probe the gel-point transition as a function of the initial radical concentr
Externí odkaz:
https://doaj.org/article/7d2380ff695a431b89e1cda08699b59e
Publikováno v:
Energies, Vol 14, Iss 6, p 1554 (2021)
Thermal and mechanical energy storage is pivotal for the effective exploitation of renewable energy sources, thus fostering the transition to a sustainable economy. Hydrogen-based systems are among the most promising solutions for electrical energy s
Externí odkaz:
https://doaj.org/article/b62cc03de72048eaae348fe715a5d4a3
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
Autor:
Marco Lauricella, Lorenzo Fagiano
Publikováno v:
IEEE Transactions on Control Systems Technology. :1-12
Publikováno v:
The Journal of Chemical Physics. 158
Clathrate hydrates are crystalline inclusion compounds wherein a water framework encages small guest atoms/molecules within its cavities. Among the others, methane clathrates are the largest fossil fuel resource still available. They can also be used
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
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
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