69 citations · 69 across the 3 of their papers we have counts for
3 papers
stat.ML2018★ 69 cited
A comparative study of feature selection methods for stress hotspot classification in materials
Ankita Mangal, Elizabeth A. Holm
The first step in constructing a machine learning model is defining the features of the data set that can be used for optimal learning. In this work we discuss feature selection me…
cond-mat.mtrl-sci2018
Applied Machine Learning to Predict Stress Hotspots II: Hexagonal close packed materials
Ankita Mangal, Elizabeth A. Holm
Stress hotspots are regions of stress concentrations that form under deformation in polycrystalline materials. We use a machine learning approach to study the effect of preferred s…
cond-mat.mtrl-sci2017
Applied Machine Learning to Predict Stress Hotspots I: Face Centered Cubic Materials
Ankita Mangal, Elizabeth A. Holm
We investigate the formation of stress hotspots in polycrystalline materials under uniaxial tensile deformation by integrating full field crystal plasticity based deformation model…