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Taylr Cawte
Taylr Cawte
Verified email at mail.utoronto.ca
Title
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Year
An overview of photocatalyst immobilization methods for air pollution remediation
D Wood, S Shaw, T Cawte, E Shanen, B Van Heyst
Chemical Engineering Journal 391, 123490, 2020
1152020
Ceramic water filters: a point-of-use water treatment technology to remove bacteria from drinking water in Longhai City, Fuijan Province
C Farrow, E McBean, G Huang, A Yang, Y Wu, Z Liu, Z Dai, T Cawte, ...
Journal of Environmental Informatics 32 (2), 63-68, 2018
532018
A 3D convolutional neural network accurately predicts the permeability of gas diffusion layer materials directly from image data
T Cawte, A Bazylak
Current Opinion in Electrochemistry 35, 101101, 2022
142022
Accurately predicting transport properties of porous fibrous materials by machine learning methods
T Cawte, A Bazylak
Electrochemical Science Advances 3 (1), e2100185, 2023
62023
Predicting optimal membrane hydration and ohmic losses in operating fuel cells with machine learning
J Paciocco, T Cawte, A Bazylak
Journal of Power Sources 573, 233119, 2023
22023
Structure and Transport Property Characterization of Gas Diffusion Layer Materials Using Machine Learning Methods
TM Cawte
University of Toronto (Canada), 2022
12022
A Supramolecular [π-radical]2 Unit Acts as a Ligand: Coordination of La and Ce by a Pancake-Bonded Pair
MB Mills, CA Michalowicz, E Song, AC Maahs, JA Newman, T Cawte, ...
Crystal Growth & Design 21 (10), 5897-5903, 2021
12021
Predicting through-Plane Porosity Profiles of Fibrous Porous Media from 2D Images with a Single-Input Multi-Output Convolutional Neural Network
TM Cawte, A Bazylak
Electrochemical Society Meeting Abstracts 239, 966-966, 2021
2021
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