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Jack Weatheritt
Observed names:
J. Weatheritt,
Weatheritt, Jack
Institution:
Ixico (United Kingdom)
Observed institutions:
General Electric (United States),
The University of Melbourne,
Ixico (United Kingdom),
General Electric (Italy),
University of Southampton
ORCID:
0000-0003-0658-4943
Observed ORCID:
0000-0003-0658-4943
OpenAlex ID:
A5064734404
A novel evolutionary algorithm applied to algebraic modifications of the RANS stress–strain relationship
2016
·
Jack Weatheritt
, Richard Sandberg
·
Journal of Computational Physics
·
348
RANS turbulence model development using CFD-driven machine learning
2020
·
Yaomin Zhao
, Harshal D. Akolekar
, et al.
·
Journal of Computational Physics
·
313
PDF
The development of algebraic stress models using a novel evolutionary algorithm
2017
·
J. Weatheritt
, R.D. Sandberg
·
International Journal of Heat and Fluid Flow
·
159
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
2018
·
H. D. Akolekar
, J. Weatheritt
, et al.
·
Journal of Turbomachinery
·
60
PDF
Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames
2018
·
Matthias Schoepplein
, Jack Weatheritt
, et al.
·
Journal of Computational Physics
·
56
Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot
2018
·
R. D. Sandberg
, R. Tan
, et al.
·
Journal of Turbomachinery
·
55
PDF
Data-driven scalar-flux model development with application to jet in cross flow
2019
·
Jack Weatheritt
, Yaomin Zhao
, et al.
·
International Journal of Heat and Mass Transfer
·
51
Machine Learning for Turbulence Model Development Using a High-Fidelity HPT Cascade Simulation
2017
·
Jack Weatheritt
, Richard Pichler
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
50
A Comparative Study of Contrasting Machine Learning Frameworks Applied to RANS Modeling of Jets in Crossflow
2017
·
Jack Weatheritt
, Richard D. Sandberg
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
31
PDF
Applying Machine Learnt Explicit Algebraic Stress and Scalar Flux Models to a Fundamental Trailing Edge Slot
2018
·
R. D. Sandberg
, R. Tan
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
23
Hybrid Reynolds-Averaged/Large-Eddy Simulation Methodology from Symbolic Regression: Formulation and Application
2017
·
Jack Weatheritt
, Richard D. Sandberg
·
AIAA Journal
·
22
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs
2018
·
Harshal D. Akolekar
, Jack Weatheritt
, et al.
·
ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT)
·
19
PDF
Improved Junction Body Flow Modeling Through Data-Driven Symbolic Regression
2019
·
Jack Weatheritt
, Richard David Sandberg
·
Journal of Ship Research
·
13
The development of data driven approaches to further turbulence closures
2015
·
Jack Weatheritt
·
ePrints Soton (University of Southampton)
·
9
A New Reynolds Stress Damping Function for Hybrid RANS/LES with an Evolved Functional Form
2015
·
J. Weatheritt
, R. D. Sandberg
·
WORLD SCIENTIFIC eBooks
·
8
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations
2020
·
Jack Weatheritt
, Daniel Rueckert
, et al.
·
Communications in computer and information science
·
5
Use of Symbolic Regression for construction of Reynolds-stress damping functions for Hybrid RANS/LES
2015
·
Jack Weatheritt
, Richard D. Sandberg
·
AIAA Aerospace Sciences Meeting
·
5
GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
2022
·
Saha, Rohit
, Fang, Mengyi
, et al.
·
arXiv (Cornell University)
·
2
PDF
Alzheimer's disease detection using explainable AI on PET images
2021
·
Jack Weatheritt
, Alessandro Palombit
, et al.
·
Alzheimer s & Dementia
·
2
A machine learning‐based quality control tool for functional MRI images
2023
·
Luis R Peraza
, Jack Weatheritt
, et al.
·
Alzheimer s & Dementia
·
1
PDF
Application of an Evolutionary Algorithm to LES Modelling of Turbulent Premixed Flames
2020
·
M. Schöpplein
, J. Weatheritt
, et al.
·
Springer eBooks
·
1
Reynolds Stress Structures in the Hybrid RANS/LES of a Planar Channel
2016
·
Jack Weatheritt
, Richard Sandberg
, et al.
·
Journal of Physics Conference Series
·
1
PDF
Trial Enrichment using Siamese Neural Networks and PET imaging
2022
·
Jack Weatheritt
, Luis R Peraza
, et al.
·
Alzheimer s & Dementia
PDF
Towards a fully automatic AI framework to calculate voxel‐wise atrophy in the human brain
2021
·
Michael Reinwald
, Richard Joules
, et al.
·
Alzheimer s & Dementia
PDF
Automatic brain extraction using deep learning
2021
·
Jack Weatheritt
, Barbara Brito Vega
, et al.
·
Alzheimer s & Dementia
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Works count:
25
Citation count:
1,234
H-index:
13
I10-index:
13
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