Maryam Aliakbari

Predicting high-fidelity multiphysics data from low-fidelity fluid flow and transport solvers using physics-informed neural networks

Maryam Aliakbari, Mostafa Mahmoudi, Péter Vadász et al. · International Journal of Heat and Fluid Flow · 2022 · 71 citations

High-fidelity Multiphysics Data, Transport Solvers, Engineering +9

Multi-nationality epoxy adhesives on trial for future nanocomposite developments

Maryam Aliakbari, Omid Moini Jazani, Majid Sohrabian et al. · Progress in Organic Coatings · 2019 · 66 citations

Materials Science, Engineering, Adhesive Material +4

Epoxy adhesives toughened with waste tire powder, nanoclay, and phenolic resin for metal-polymer lap-joint applications

Maryam Aliakbari, Omid Moini Jazani, Majid Sohrabian · Progress in Organic Coatings · 2019 · 51 citations

Materials Science, Waste Tire Powder, Metal-polymer Lap-joint Applications +6

Differential effect of polyvinylpyrrolidone-coated superparamagnetic iron oxide nanoparticles on BT-474 human breast cancer cell viability

Maryam Aliakbari, Elham Mohammadian, Abolghasem Esmaeili et al. · Toxicology in Vitro · 2018 · 29 citations

Materials Science, Magnetism, Nanoparticles +10

Ensemble physics informed neural networks: A framework to improve inverse transport modeling in heterogeneous domains

Maryam Aliakbari, Mohammadreza Soltany Sadrabadi, Péter Vadász et al. · Physics of Fluids · 2023 · 18 citations

Engineering, Machine Learning, Machine Learning Tool +22