Ritobroto Sikdar
Login to view DISC.Ritobroto Sikdar is a materials chemistry researcher and educator, currently serving as a Sessional Instructor at Concordia University of Edmonton. His PhD work at the University of Alberta focused on solid-state synthesis and applying machine learning models in Python to discover new compounds for hydrogen storage applications.
His research involves developing predictive models that achieve 90% accuracy in identifying new Laves phases, streamlining traditional trial-and-error discovery methods.
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