Computational fluid dynamics analysis and optimisation of polymerase chain reaction thermal flow systems

Hazim S. Hamad; N. Kapur; Z. Khatir; O. M. Querin; H. M. Thompson; Yongxing Wang; M. C.T. Wilson

doi:10.1016/j.applthermaleng.2020.116122

Computational fluid dynamics analysis and optimisation of polymerase chain reaction thermal flow systems

Hazim S. Hamad^*, N. Kapur, Z. Khatir, O. M. Querin, H. M. Thompson, Yongxing Wang, M. C.T. Wilson

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

10 Citations (SciVal)

Original language	English
Article number	116122
Journal	Applied Thermal Engineering
Volume	183
DOIs	https://doi.org/10.1016/j.applthermaleng.2020.116122
Publication status	Published (VoR) - 25 Jan 2021

Funding

The authors are grateful to the Ministry of Oil, Iraq, and British petroleum (BP), Rumaila Oil field Iraq, for sponsoring the work on this project. This work was undertaken on ARC4, part of the High Performance Computing facilities at the University of Leeds, UK.

Keywords

Computational fluid dynamics
Machine learning
Multi-objective optimisation
PCR

Access to Document

10.1016/j.applthermaleng.2020.116122

Cite this

@article{5b35d39f1e3f43ca9532be36f1cf85bb,

title = "Computational fluid dynamics analysis and optimisation of polymerase chain reaction thermal flow systems",

keywords = "Computational fluid dynamics, Machine learning, Multi-objective optimisation, PCR",

author = "Hamad, \{Hazim S.\} and N. Kapur and Z. Khatir and Querin, \{O. M.\} and Thompson, \{H. M.\} and Yongxing Wang and Wilson, \{M. C.T.\}",

note = "Funding Information: The authors are grateful to the Ministry of Oil, Iraq, and British petroleum (BP), Rumaila Oil field Iraq, for sponsoring the work on this project. This work was undertaken on ARC4, part of the High Performance Computing facilities at the University of Leeds, UK. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2021",

month = jan,

day = "25",

doi = "10.1016/j.applthermaleng.2020.116122",

language = "English",

volume = "183",

journal = "Applied Thermal Engineering",

issn = "1359-4311",

publisher = "Elsevier",

}

TY - JOUR

T1 - Computational fluid dynamics analysis and optimisation of polymerase chain reaction thermal flow systems

AU - Hamad, Hazim S.

AU - Kapur, N.

AU - Khatir, Z.

AU - Querin, O. M.

AU - Thompson, H. M.

AU - Wang, Yongxing

AU - Wilson, M. C.T.

N1 - Funding Information: The authors are grateful to the Ministry of Oil, Iraq, and British petroleum (BP), Rumaila Oil field Iraq, for sponsoring the work on this project. This work was undertaken on ARC4, part of the High Performance Computing facilities at the University of Leeds, UK. Publisher Copyright: © 2020 Elsevier Ltd

PY - 2021/1/25

Y1 - 2021/1/25

KW - Computational fluid dynamics

KW - Machine learning

KW - Multi-objective optimisation

KW - PCR

UR - https://www.scopus.com/pages/publications/85092747263

UR - https://www.scopus.com/inward/citedby.url?scp=85092747263&partnerID=8YFLogxK

U2 - 10.1016/j.applthermaleng.2020.116122

DO - 10.1016/j.applthermaleng.2020.116122

M3 - Article

AN - SCOPUS:85092747263

SN - 1359-4311

VL - 183

JO - Applied Thermal Engineering

JF - Applied Thermal Engineering

M1 - 116122

ER -

Computational fluid dynamics analysis and optimisation of polymerase chain reaction thermal flow systems

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this