Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Guillaume Balarac"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)
Abstract The use of machine learning to build subgrid parametrizations for climate models is receiving growing attention. State‐of‐the‐art strategies address the problem as a supervised learning task and optimize algorithms that predict subgrid
Externí odkaz:
https://doaj.org/article/7888d97061b64596a2f253884b51874e
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107851- (2022)
Microencapsulation technologies have experienced much growth over the past decades and are commonly used for food, cosmetic, pharmaceutical and biomedical applications. Certain application fields impose stricter requirements on the polymer capsules.
Externí odkaz:
https://doaj.org/article/0ec4094d89c74914ba56d2aefe49480f
Autor:
Matei Badalan, Lucie Adisson, Arthur Boldron, Jean-Luc Achard, Giovanni Ghigliotti, Guillaume Balarac, Frédéric Bottausci
Publikováno v:
Comptes Rendus. Mécanique. 351:83-102
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d25a060b388468e8300c2ebe9419b32
https://doi.org/10.5802/crmeca.154
https://doi.org/10.5802/crmeca.154
Publikováno v:
Industrial & Engineering Chemistry Research. 61:10891-10914
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4adc7670c0d45c4c5cd870d52575971
https://doi.org/10.1021/acs.iecr.2c01089
https://doi.org/10.1021/acs.iecr.2c01089
Autor:
Serge Meynet, Alexis Barge, Vincent Moureau, Guillaume Balarac, Ghislain Lartigue, Abdellah Hadjadj
Publikováno v:
Journal of Turbomachinery. 145
In the last decade, progresses in additive manufacturing (AM) have paved the way for optimized heat exchangers whose disruptive design will heavily rely on predictive numerical simulations. However, due to typical roughness induced by AM, current wal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63eb31bf18f64261ad7fa1482a7ce904
https://doi.org/10.1115/1.4062245
https://doi.org/10.1115/1.4062245
Autor:
Serge Meynet, Alexis Barge, Vincent Moureau, Guillaume Balarac, Ghislain Lartigue, Abdellah Hadjadj
Publikováno v:
Volume 6B: Heat Transfer — General Interest/Additive Manufacturing Impacts on Heat Transfer; Internal Air Systems; Internal Cooling.
In the last decade, progresses in additive manufacturing (AM) have paved the way for optimized heat exchangers whose disruptive design will heavily rely on predictive numerical simulations. However, due to typical roughness induced by AM, current wal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aae238250e65e12bdd12cd8178dcc0a
https://doi.org/10.1115/gt2022-80946
https://doi.org/10.1115/gt2022-80946
Autor:
Adrien Grenouilloux, Guillaume Balarac, Julien Leparoux, Vincent Moureau, Ghislain Lartigue, Pierre Bénard, Renaud Mercier, Paul Ferrey
Publikováno v:
Volume 10C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions.
Static and dynamic feature-based mesh adaptation have gained momentum during the last decade as they allow to refine areas to capture specific flow features. These methods do not always guaranty that the budget of the kinetic energy of the mean field
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7075956fb7d4f8d950085e21624bee64
https://doi.org/10.1115/gt2022-80315
https://doi.org/10.1115/gt2022-80315
Autor:
Alexis Barge, Serge Meynet, Vincent Moureau, Guillaume Balarac, Abdellah Hadjadj, Ghislain Lartigue
Publikováno v:
International Conference on Fluid Flow, Heat and Mass Transfer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb8a334f7755a1ef876f06d484bf010f
https://doi.org/10.11159/ffhmt22.164
https://doi.org/10.11159/ffhmt22.164
Autor:
Pedro Véras, Olivier Métais, Guillaume Balarac, Didier Georges, Antoine Bombenger, Claire Ségoufin
Publikováno v:
Computers & Fluids. 254:105792
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2a0bb2106b4467cf7c80960f7eacb5a
https://doi.org/10.1016/j.compfluid.2023.105792
https://doi.org/10.1016/j.compfluid.2023.105792
Machine learning techniques are now ubiquitous in the geophysical science community. They have been applied in particular to the prediction of subgrid-scale parametrizations using data that describes small scale dynamics from large scale states. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::072dec5ce40ba7d44552520d49616db1
https://doi.org/10.5194/egusphere-egu22-3977
https://doi.org/10.5194/egusphere-egu22-3977
