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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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physics.comp-ph2020★ 38 cited

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…

physics.app-ph2020★ 28 cited

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…