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1. Machine Learning Framework for Impurity Level Prediction in Semiconductors

   Online Presentations | 15 Dec 2020 | Contributor(s):: Arun Kumar Mannodi Kanakkithodi

   In this work, we perform screening of functional atomic impurities in Cd-chalcogenide semiconductors using high-throughput computations and machine learning.

2. Doping to Create a Semiconductor: Changing conductive properties through diffusion

   Teaching Materials | 14 Jan 2020 | Contributor(s):: Kaye Sheets, NNCI Nano

   In the semiconductor industry scientists take advantage of diffusion to “dope” or introduce atoms into a silicon wafer to change its conductive properties. The lesson simulates the diffusion of a gas phase substance (ammonia) into a solid substrate (gelatin)  and compares the...