Zobrazeno 1 - 10
of 60
pro vyhledávání: '"James C. Sutherland"'
Publikováno v:
Patterns, Vol 4, Iss 11, Pp 100859- (2023)
Summary: A fundamental hindrance to building data-driven reduced-order models (ROMs) is the poor topological quality of a low-dimensional data projection. This includes behavior such as overlapping, twisting, or large curvatures or uneven data densit
Externí odkaz:
https://doaj.org/article/7da5eaf651704eaa8db46920a5801965
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101447- (2023)
We describe an update to our open-source Python package, PCAfold, designed to help researchers generate, analyze and improve low-dimensional data manifolds. In the current version, PCAfold 2.0, we introduce novel tools and algorithms for assessing an
Externí odkaz:
https://doaj.org/article/de77343942f84f9ca4a3270a2eee7f7d
Autor:
Kamila Zdybał, Giuseppe D’Alessio, Antonio Attili, Axel Coussement, James C. Sutherland, Alessandro Parente
Publikováno v:
Applications in Energy and Combustion Science, Vol 14, Iss , Pp 100131- (2023)
In many reacting flow systems, the thermo-chemical state-space is known or assumed to evolve close to a low-dimensional manifold (LDM). Various approaches are available to obtain those manifolds and subsequently express the original high-dimensional
Externí odkaz:
https://doaj.org/article/86a28e52d99c4a1e8856408dcbbaf323
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-19 (2022)
Abstract In reduced-order modeling, complex systems that exhibit high state-space dimensionality are described and evolved using a small number of parameters. These parameters can be obtained in a data-driven way, where a high-dimensional dataset is
Externí odkaz:
https://doaj.org/article/d622383cf9634f2685221b84d4aad5fc
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100541- (2020)
The modified equation is a useful tool in the analysis of numerical methods for partial differential equations (PDEs). It gives insight into the stability, diffusion, and dispersion properties of a given numerical scheme. Its derivation, however, is
Externí odkaz:
https://doaj.org/article/f31eefe71ea24536b8d6fde61f79a193
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100630- (2020)
Many scientific disciplines rely on dimensionality reduction techniques for computationally less expensive handling of multivariate data sets. In particular, Principal Component Analysis (PCA) is a popular method that can be used to discover the unde
Externí odkaz:
https://doaj.org/article/35073de376564351857a8713d916c6f9
Autor:
Elizabeth Armstrong, Michael A. Hansen, Robert C. Knaus, Nathaniel A. Trask, John C. Hewson, James C. Sutherland
Publikováno v:
Combustion Science and Technology. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e3965c0d4eca78453ce102eedcf50c7
https://doi.org/10.1080/00102202.2022.2102908
https://doi.org/10.1080/00102202.2022.2102908
Publikováno v:
Combustion Science and Technology. :1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e00a64a86ab506c9115627ed8d6045c
https://doi.org/10.1080/00102202.2022.2028780
https://doi.org/10.1080/00102202.2022.2028780
Publikováno v:
Combustion Theory and Modelling. 25:646-668
Effective dimension reduction is a key factor in facilitating large-scale simulation of high-dimensional dynamical systems. The behaviour of low-dimensional surrogate models often relies on accurat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29bac2e761fbf82db6327fee808210b1
https://doi.org/10.1080/13647830.2021.1931715
https://doi.org/10.1080/13647830.2021.1931715
Publikováno v:
Molecular Simulation. 47:363-375
The many-body dissipative particle dynamics (mDPD) is a prominent mesoscopic multiphase model for fluid transport in mesoconfinement. However, it has been a long-standing challenge for mDPD (and ot...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ffdc50fb292c3953a2aa3fe48942eb
https://doi.org/10.1080/08927022.2021.1876233
https://doi.org/10.1080/08927022.2021.1876233