Accuracy analysis of unstructured finite volume discretization schemes for diffusive fluxes A Jalali, M Sharbatdar, C Ollivier-Gooch Computers & Fluids 101, 220-232, 2014 | 83 | 2014 |
Anisotropic mesh adaptation: recovering quasi-structured meshes M Sharbatdar, C Ollivier Gooch 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and …, 2013 | 14 | 2013 |
A Newton–Krylov finite volume algorithm for the power-law non-Newtonian fluid flow using pseudo-compressibility technique A Nejat, A Jalali, M Sharbatdar Journal of non-newtonian fluid mechanics 166 (19-20), 1158-1172, 2011 | 14 | 2011 |
Adjoint-based functional correction for unstructured mesh finite volume methods M Sharbatdar, C Ollivier-Gooch Journal of Scientific Computing 76, 1-23, 2018 | 10 | 2018 |
An efficient implicit unstructured finite volume solver for generalised Newtonian fluids A Jalali, M Sharbatdar, C Ollivier-Gooch International Journal of Computational Fluid Dynamics, 2016 | 10 | 2016 |
Probabilistic CFD analysis on the flow field and performance of the FDA centrifugal blood pump R Mohammadi, MS Karimi, M Raisee, M Sharbatdar Applied Mathematical Modelling 109, 555-577, 2022 | 8 | 2022 |
Mesh adaptation using C1 interpolation of the solution in an unstructured finite volume solver M Sharbatdar, C Ollivier‐Gooch International Journal for Numerical Methods in Fluids 86 (10), 637-654, 2018 | 8 | 2018 |
Smoothed truncation error in functional error estimation and correction using adjoint methods in an unstructured finite volume solver M Sharbatdar, A Jalali, C Ollivier-Gooch Computers & Fluids 140, 406-421, 2016 | 7 | 2016 |
Comparison of truncation error estimators for defect correction and output error estimation in the unstructured mesh finite volume method M Sharbatdar, CF Ollivier Gooch 22nd AIAA Computational Fluid Dynamics Conference, 2748, 2015 | 6 | 2015 |
Eigenanalysis of truncation and discretization error on unstructured meshes M Sharbatdar, CF Ollivier Gooch 21st AIAA Computational Fluid Dynamics Conference, 3089, 2013 | 6 | 2013 |
The flow of Newtonian and power law fluids in elastic tubes A Nejat, A Jalali, M Sharbatdar J Non-Newtonian Fluid Mech 166, 1158-72, 2011 | 6 | 2011 |
Error estimation and mesh adaptation paradigm for unstructured mesh finite volume methods M Sharbatdar University of British Columbia, 2017 | 5 | 2017 |
A Newton–Krylov finite volume algorithm for the power-law non-Newtonian fluid flow using pseudocompressibility N Amir, J Alireza, S Mahkame J Non-Newtonian Fluid Mech 166, 1158-72, 2011 | 2 | 2011 |
A Newton-Krylov finite volume algorithm for power-law non-Newtonian fluid flows using pseudo-compressibility method A Nejat, M Sharbatdar, A Jalali 20th AIAA Computational Fluid Dynamics Conference, 3239, 2011 | 2 | 2011 |
Integration of Machine Learning and Structural Analysis for Predicting Peptide Antibiofilm Effects:Advancements in Drug Discovery for Biofilm-Related Infections MS Fatemeh Ebrahimi Tarki, Mahboobeh Zarrabi, Ahya Abdiali Iranian Journal of Pharmaceutical Research, 2023 | 1 | 2023 |
Machine-learning-based personal thermal comfort modeling for heat recovery using environmental parameters MS Mohammad Fattahi Sustainable Energy Technologies and Assessments 57, 2023 | 1 | 2023 |
Smooth Estimate of the Truncation Error For Unstructured Mesh Finite Volume Methods M Sharbatdar, C Ollivier-Gooch 6th European Conference on Computational Fluid Dynamics, Barcelona, Spain, 2014 | 1 | 2014 |
A Newton-Krylov Type Algorithm for an Incompressible Navier-Stokes Solver Using Pseudo Compressibility Technique A Nejat, A Jalali, M Sharbatdar Engineering Systems Design and Analysis 49187, 89-94, 2010 | 1 | 2010 |
Efficient diagnosis of psoriasis and lichen planus cutaneous diseases using deep learning approach A Eskandari, M Sharbatdar Scientific Reports 14 (1), 9715, 2024 | | 2024 |
Using machine learning algorithms for grasp strength recognition in rehabilitation planning T Boka, A Eskandari, SAA Moosavian, M Sharbatdar Results in Engineering 21, 101660, 2024 | | 2024 |