Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sylvie Antoun"'
Publikováno v:
International Journal of Thermofluids, Vol 12, Iss , Pp 100114- (2021)
An enhanced Molecular Dynamics (MD) approach, synergistically combined with a fine-tuned Force Field (FF) model, is introduced to predict the behavior and thermophysical properties of cationic alumina (γ-Al2O3) nanoparticles (NPs) dispersed in water
Externí odkaz:
https://doaj.org/article/a0809d4a97634d3d86900164c10bf66c
Autor:
Seth Dworkin, Wey H. Leong, jun wang, Aggrey Mwesigye, Sylvie Antoun, Ayman M. Bayomy, Saunak Shukla
To avoid the catastrophic results of climate change, a major shift towards clean, sustainable and renewable energy technologies is inevitable. Since buildings are capable of on-site thermal energy generation and exhibiting predictive patterns of heat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f69fb6b4bcc835969510b2b042c06a3
https://doi.org/10.32920/22661605
https://doi.org/10.32920/22661605
The use of nano phase change material in thermal energy storage applications appears promising, but the often-poor performance and the lack of understanding of the heat transfer mechanisms interconnectedness remains a challenge and hinders their wide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c296eaf59c4728114deaa36322e5b1c2
https://doi.org/10.32920/22657372.v1
https://doi.org/10.32920/22657372.v1
Publikováno v:
Renewable Energy. 174:43-54
To avoid the catastrophic results of climate change, a major shift towards clean, sustainable and renewable energy technologies is inevitable. Since buildings are capable of on-site thermal energy generation and exhibiting predictive patterns of heat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::586aa6b9de824c147ff7a4124de6466c
https://doi.org/10.1016/j.renene.2021.04.075
https://doi.org/10.1016/j.renene.2021.04.075
Publikováno v:
Proceedings of the IGSHPA Research Track 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92f4ba12f83805485b6df478a93daa3e
https://doi.org/10.22488/okstate.22.000035
https://doi.org/10.22488/okstate.22.000035
Computational Fluid Dynamics Modelling Of Cough Droplet Trajectories And Mask Material Effectiveness
Publikováno v:
Progress in Canadian Mechanical Engineering. Volume 4.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0c9e25399e72ee58de4538f6d1adf28
https://doi.org/10.32393/csme.2021.183
https://doi.org/10.32393/csme.2021.183
Autor:
Sylvie Antoun
This thesis introduces an enhanced Molecular Dynamics (MD) approach, blended with fine-tuned Force Field (FF) models to reflect more realistic experimental conditions and achieve a precise representation of the atomic interactions in complex systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d6d4c7e34158354cc83fd007f55570e
https://doi.org/10.32920/ryerson.14663139.v1
https://doi.org/10.32920/ryerson.14663139.v1
Publikováno v:
Indoor and Built Environment. :1420326X2210987
To understand the exact transmission routes of SARS-CoV-2 and to explore effects of time, space and indoor environment on the dynamics of droplets and aerosols, rigorous testing and observation must be conducted. In the current work, the spatial and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5539104d144fc7ee4f6041b1c796f125
https://doi.org/10.1177/1420326x221098753
https://doi.org/10.1177/1420326x221098753
Publikováno v:
Progress in Canadian Mechanical Engineering. Volume 3.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dde75f2a4a8344de4a7d1c1974216fe0
https://doi.org/10.32393/csme.2020.1189
https://doi.org/10.32393/csme.2020.1189
Publikováno v:
Progress in Canadian Mechanical Engineering. Volume 3.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c147cf1f9abc38c7250f2b7e552cd2cc
https://doi.org/10.32393/csme.2020.95
https://doi.org/10.32393/csme.2020.95