Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Christopher C. Pain"'
Autor:
Teeratorn Kadeethum, Daniel O’Malley, Francesco Ballarin, Ida Ang, Jan N. Fuhg, Nikolaos Bouklas, Vinicius L. S. Silva, Pablo Salinas, Claire E. Heaney, Christopher C. Pain, Sanghyun Lee, Hari S. Viswanathan, Hongkyu Yoon
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract We propose the use of reduced order modeling (ROM) to reduce the computational cost and improve the convergence rate of nonlinear solvers of full order models (FOM) for solving partial differential equations. In this study, a novel ROM-assis
Externí odkaz:
https://doaj.org/article/5e08c471c24a40a0bf3159b2193bb9fa
Autor:
Gopinath Kalaiarasan, Prashant Kumar, Mamatha Tomson, Juan C. Zavala-Reyes, Alexandra E. Porter, Gloria Young, Mark A. Sephton, Hisham Abubakar-Waziri, Christopher C. Pain, Ian M. Adcock, Sharon Mumby, Claire Dilliway, Fangxing Fang, Rossella Arcucci, Kian Fan Chung
Publikováno v:
Atmosphere, Vol 15, Iss 1, p 45 (2023)
We estimated the particle number distributions (PNDs), particle number concentrations (PNCs), physicochemical characteristics, meteorological effects, and respiratory deposition doses (RDD) in the human respiratory tract for three different particle
Externí odkaz:
https://doaj.org/article/81d82593c8d8476992f16f5f8e97fa9c
Autor:
Claire E. Heaney, Xiangqi Liu, Hanna Go, Zef Wolffs, Pablo Salinas, Ionel M. Navon, Christopher C. Pain
Publikováno v:
Frontiers in Physics, Vol 10 (2022)
We present a data-driven or non-intrusive reduced-order model (NIROM) which is capable of making predictions for a significantly larger domain than the one used to generate the snapshots or training data. This development relies on the combination of
Externí odkaz:
https://doaj.org/article/e6275e24f7cb4b7b9ac656e5ce4fe7d4
Autor:
Prashant Kumar, Gopinath Kalaiarasan, Rajesh K. Bhagat, Sharon Mumby, Ian M. Adcock, Alexandra E. Porter, Emma Ransome, Hisham Abubakar-Waziri, Pankaj Bhavsar, Swasti Shishodia, Claire Dilliway, Fangxin Fang, Christopher C. Pain, Kian Fan Chung
Publikováno v:
Atmosphere, Vol 13, Iss 12, p 2067 (2022)
Indoor, airborne, transmission of SARS-CoV-2 is a key infection route. We monitored fourteen different indoor spaces in order to assess the risk of SARS-CoV-2 transmission. PM2.5 and CO2 concentrations were simultaneously monitored in order to unders
Externí odkaz:
https://doaj.org/article/2be60002b2fd43f3b7001d5c98a0fdb6
Autor:
Toby R. F. Phillips, Claire E. Heaney, Ellyess Benmoufok, Qingyang Li, Lily Hua, Alexandra E. Porter, Kian Fan Chung, Christopher C. Pain
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9209 (2022)
Regression modelling has always been a key process in unlocking the relationships between independent and dependent variables that are held within data. In recent years, machine learning has uncovered new insights in many fields, providing prediction
Externí odkaz:
https://doaj.org/article/bc20c8f786a04292881cdbdee7886cf6
Publikováno v:
Energies, Vol 15, Iss 14, p 5102 (2022)
This article presents a new approach for the efficient calculation of sensitivities in radiation dose estimates, subject to imprecisely known nuclear material cross-section data. The method is a combined application of adjoint-based models to perform
Externí odkaz:
https://doaj.org/article/39806592b437498b9771f743a6f0a5d3
Publikováno v:
Energies, Vol 14, Iss 5, p 1350 (2021)
Producing high-fidelity real-time simulations of neutron diffusion in a reactor is computationally extremely challenging, due, in part, to multiscale behaviour in energy and space. In many scientific fields, including nuclear modelling, the applicati
Externí odkaz:
https://doaj.org/article/2e10cc9179b7469e8335019ea61ed7cd
Publikováno v:
Energies, Vol 14, Iss 5, p 1369 (2021)
Solving the neutron transport equations is a demanding computational challenge. This paper combines reduced-order modelling with domain decomposition to develop an approach that can tackle such problems. The idea is to decompose the domain of a react
Externí odkaz:
https://doaj.org/article/26b7a8555c5d4937afd2fc30403b0fc7
Autor:
Prashant Kumar, Gopinath Kalaiarasan, Rajesh K. Bhagat, Sharon Mumby, Ian M. Adcock, Alexandra E. Porter, Emma Ransome, Hisham Abubakar-Waziri, Pankaj Bhavsar, Swasti Shishodia, Claire Dilliway, Fangxin Fang, Christopher C. Pain, Kian Fan Chung
Publikováno v:
Atmosphere; Volume 13; Issue 12; Pages: 2067
Peer reviewed: True
Funder: Leverhulme Trust
Indoor, airborne, transmission of SARS-CoV-2 is a key infection route. We monitored fourteen different indoor spaces in order to assess the risk of SARS-CoV-2 transmission. PM2.5 and CO2 concentr
Funder: Leverhulme Trust
Indoor, airborne, transmission of SARS-CoV-2 is a key infection route. We monitored fourteen different indoor spaces in order to assess the risk of SARS-CoV-2 transmission. PM2.5 and CO2 concentr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc706003d1e0b4d7e8b67cbe4f0035a
Publikováno v:
Journal of Scientific Computing. 94
We propose a novel use of generative adversarial networks (GANs) (i) to make predictions in time (PredGAN) and (ii) to assimilate measurements (DA-PredGAN). In the latter case, we take advantage of the natural adjoint-like properties of generative mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1f420f2a46514705eb056e7a02dd3e9
https://doi.org/10.1007/s10915-022-02078-1
https://doi.org/10.1007/s10915-022-02078-1