A Data-Driven Approach to Full-Field Damage and Failure Pattern Prediction in Microstructure-Dependent Composites using Deep Learning. - Reza Sepasdar; Anuj Karpatne; Maryam Shakiba (CoRR, 2021)

A simple and efficient rainfall-runoff model based on supervised brain emotional learning. - Sara Parvinizadeh; Mohammad Zakermoshfegh; Maryam Shakiba (Neural Comput. Appl., 2022)

Performance evaluation of deep learning approaches for predicting mechanical fields in composites. - Marwa Yacouti; Maryam Shakiba (Eng. Comput., 2024)

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model. - Zeping Chen; Marwa Yacouti; Maryam Shakiba; Jian-Xun Wang 001; Tengfei Luo; Vikas Varshney (CoRR, 2025)