We developed a novel uncertainty-aware framework MatPhase to predict material phases of electrodes from low contrast SEM images.
Filter Research Highlights
Area of Research
Members and students of the Computational Urban Sciences group demonstrated a method for generating scenarios of urban neighborhood growth based on existing physical structures and placement of buildings in neighborhoods.
A web-based GUI for INTERSECT has been created which allows a user to configure an experiment on an electron microscope, setting such parameters as maximum number of steps for the machine learning algorithm to perform.
This work studies deformation of EV battery module under external mechanical loading and effect of inactive module components on module failure.