Jack Weatheritt

发表

Application of an evolutionary algorithm to LES modelling of turbulent premixed flames

Richard D. Sandberg, Markus Klein, M. Schöpplein, 2020 .

Turbulence Model Development using CFD-Driven Machine Learning

Richard D. Sandberg, Vittorio Michelassi, Jack Weatheritt, 2019 .

Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations

Daniel Rueckert, Robin Wolz, Jack Weatheritt, 2020, MIUA.

Hybrid Reynolds-Averaged/Large-Eddy Simulation Methodology from Symbolic Regression: Formulation and Application

Richard D. Sandberg, Jack Weatheritt, R. Sandberg, 2017 .

Data-driven scalar-flux model development with application to jet in cross flow

Richard D. Sandberg, Koichi Tanimoto, Jack Weatheritt, 2020 .

Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames

Markus Klein, Richard Sandberg, Jack Weatheritt, 2018, J. Comput. Phys..

The development of algebraic stress models using a novel evolutionary algorithm

Richard D. Sandberg, Jack Weatheritt, R. Sandberg, 2017 .

A novel evolutionary algorithm applied to algebraic modifications of the RANS stress-strain relationship

Richard Sandberg, Jack Weatheritt, R. Sandberg, 2016, J. Comput. Phys..

Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in LPTs

Richard D. Sandberg, Gregory M. Laskowski, Vittorio Michelassi, 2018, Volume 2C: Turbomachinery.

Use of symbolic regression for construction of reynolds-stress damping functions for hybrid RANS/LES

Richard D. Sandberg, Jack Weatheritt, R. Sandberg, 2015 .

The development of data driven approaches to further turbulence closures

Jack Weatheritt, 2015 .

A Comparative Study of Contrasting Machine Learning Frameworks Applied to RANS Modeling of Jets in Crossflow

Richard D. Sandberg, Julia Ling, Julien Bodart, 2017 .