Maximum spreading and rebound of a droplet impacting onto a spherical surface at low Weber numbers A Bordbar, A Taassob, D Khojasteh, M Marengo, R Kamali Langmuir 34 (17), 5149-5158, 2018 | 90 | 2018 |
Slug flow in microchannels: numerical simulation and applications A Bordbar, A Taassob, A Zarnaghsh, R Kamali Journal of industrial and engineering chemistry 62, 26-39, 2018 | 61 | 2018 |
Monodisperse non-Newtonian micro-droplet generation in a co-flow device A Taassob, MKD Manshadi, A Bordbar, R Kamali Journal of the Brazilian Society of Mechanical Sciences and Engineering 39 …, 2017 | 42 | 2017 |
Diffusion and convection mixing of non‐Newtonian liquids in an optimized micromixer A Bordbar, A Taassob, R Kamali The Canadian Journal of Chemical Engineering 96 (8), 1829-1836, 2018 | 26 | 2018 |
High-viscosity liquid mixing in a slug-flow micromixer: a numerical study A Bordbar, S Kheirandish, A Taassob, R Kamali, A Ebrahimi Journal of Flow Chemistry 10, 449-459, 2020 | 21 | 2020 |
Investigation of rarefied gas flow through bended microchannels A Taassob, R Kamali, A Bordbar Vacuum 151, 197-204, 2018 | 19 | 2018 |
Thermal performance analysis of slug flow in square microchannels A Bordbar, R Kamali, A Taassob Heat Transfer Engineering 41 (1), 84-100, 2020 | 15 | 2020 |
A review of rarefied gas flow in irregular micro/nanochannels A Taassob, A Bordbar, S Kheirandish, A Zarnaghsh, R Kamali, AS Rana Journal of Micromechanics and Microengineering 31 (11), 113002, 2021 | 7 | 2021 |
Derived scalar statistics from multiscalar measurements via surrogate composition spaces A Taassob, T Echekki Combustion and Flame 250, 112641, 2023 | 3 | 2023 |
Neural deep operator networks representation of coherent ising machine dynamics A Taassob, D Venturelli, PA Lott Machine Learning with New Compute Paradigms, 2023 | 2 | 2023 |
Physics-Informed Neural Networks for Turbulent Combustion: Toward Extracting More Statistics and Closure from Point Multiscalar Measurements A Taassob, R Ranade, T Echekki Energy & Fuels 37 (22), 17484-17498, 2023 | 1 | 2023 |
Turbulent Combustion Closure via Physic-Informed Neural Networks and Multiscalar Measurements A Taassob, R Ranade, T Echekki 13th U.S. National Combustion Meeting, 2023 | 1 | 2023 |
A PINN-DeepONet framework for extracting turbulent combustion closure from multiscalar measurements A Taassob, A Kumar, KM Gitushi, R Ranade, T Echekki Computer Methods in Applied Mechanics and Engineering 429, 117163, 2024 | | 2024 |
Color morphing surfaces with effective chemical shielding AM Rather, S Vallabhuneni, AJ Pyrch, M Barrubeeah, S Pillai, A Taassob, ... Nature Communications 15 (1), 3735, 2024 | | 2024 |
On‐Demand, Contact‐Less and Loss‐Less Droplet Manipulation via Contact Electrification W Wang, H Vahabi, A Taassob, S Pillai, AK Kota Advanced Science 11 (10), 2308101, 2024 | | 2024 |
A Robust Turbulent Combustion Closure model via Deep Operator Network A Taassob, A Kumar, T Echekki, R Ranade Bulletin of the American Physical Society, 2023 | | 2023 |