9 citations · 9 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025
Predicting void nucleation in microstructure with convolutional neural networks
Abhijith Thoopul Anantharanga, Jackson Plummer, Saryu Fensin +1
Void nucleation in ductile materials subjected to high strain-rate loading remains a critical yet elusive phenomenon to understand. Traditional methods to understand void nucleatio…
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…