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20202024
most citedA Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity

38 citations · 78 across the 6 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

eess.IV2023

Predicting Bone Degradation Using Vision Transformer and Synthetic Cellular Microstructures Dataset

Mohammad Saber Hashemi, Azadeh Sheidaei

Bone degradation, especially for astronauts in microgravity conditions, is crucial for space exploration missions since the lower applied external forces accelerate the diminution…

cond-mat.mtrl-sci2023

A peridynamic-informed deep learning model for brittle damage prediction

Roozbeh Eghbalpoor, Azadeh Sheidaei

In this study, a novel approach that combines the principles of peridynamic (PD) theory with PINN is presented to predict quasi-static damage and crack propagation in brittle mater…