activity
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

collaborators
Showing 2022Show all

1 paper · 1 filter

cond-mat.mtrl-sci2022★ 9 cited

Linking Properties to Microstructure in Liquid Metal Embedded Elastomers via Machine Learning

Abhijith Thoopul Anantharanga, Mohammad Saber Hashemi, Azadeh Sheidaei

Liquid metals (LM) are embedded in an elastomer matrix to obtain soft composites with unique thermal, dielectric, and mechanical properties. They have applications in soft robotics…