Jack Weatheritt

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 5

Top Topics

Brain Segmentation

Transfer Learning

Evolutionary Algorithm

Top Venues

J. Comput. Phys.

Publications

Rohit Saha, Mengyi Fang, Angeline Yasodhara, Kyryl Truskovskyi, Azin Asgarian, Daniel Homola, Raahil Shah, Frederik Dieleman, Jack Weatheritt, Thomas Rogers
GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief. CoRR (2022)
Yaomin Zhao, Harshal D. Akolekar, Jack Weatheritt, Vittorio Michelassi, Richard D. Sandberg
RANS turbulence model development using CFD-driven machine learning. J. Comput. Phys. 411 (2020)
Jack Weatheritt, Daniel Rueckert, Robin Wolz
Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations. MIUA (2020)
Matthias Schoepplein, Jack Weatheritt, Richard D. Sandberg, Mohsen Talei, Markus Klein
Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames. J. Comput. Phys. 374 (2018)
Jack Weatheritt, Richard D. Sandberg
A novel evolutionary algorithm applied to algebraic modifications of the RANS stress-strain relationship. J. Comput. Phys. 325 (2016)