38 citations · 69 across the 4 of their papers we have counts for
4 papers
Universal Design Methodology for Printable Microstructural Materials via a New Deep Generative Learning Model: Application to a Piezocomposite
Mohammad Saber Hashemi, Khiem Nguyen, Levi Kirby +2
We devised a general heterogeneous microstructural design methodology applied to a specific material system, elasto-electro-active piezoelectric ceramic embedded plastics, which ha…
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…
A Supervised Machine Learning Approach for Accelerating the Design of Particulate Composites: Application to Thermal Conductivity
Mohammad Saber Hashemi, Masoud Safdari, Azadeh Sheidaei
A supervised machine learning (ML) based computational methodology for the design of particulate multifunctional composite materials with desired thermal conductivity (TC) is prese…
Optimum Design of Printable Tunable Stiffness Metamaterial for Bone Healing
Mohammad Saber Hashemi, Karl H. Kraus, Azadeh Sheidae
A tunable stiffness bone rod was designed, optimized, and 3D printed to address the common shortcomings of existing bone rods in the healing of long fractured bones. The common def…