ABACUS Tool Suite and Bipolar Junction Transistors (Fall 2023)
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Abstract
In the fifth session, Dr. Klimeck will give a brief overview of ABACUS and demonstrate the Bipolar-Junction-Transistor-Lab. Students can experiment with npn and pnp BJTs in ideal textbook 1D geometries as well as realistic 2D geometries. Different experiments with variations in doping profiles, layer thicknesses, and material systems (Si, Ge, GaAs) can be explored. Bipolar-Junction-Transistor-Lab computes internal device quantities such as charge profiles, band edge profiles, and recombination rates at equilibrium and applied bias throughout the length of the device. It also computes the terminal currents in the form of a Gummel plot as well as common emitter output current. The transistor beta is explicitly computed as a function of collector current. Students can also explore intricate consequences of different minority carrier lifetimes. Bipolar-Junction-Transistor-Lab is powered by the industrial tool PADRE which was used at Bell Labs to design transistors.
Earlier versions of this presentation can be found here: Winter 2021, and Spring 2022
Bio
Dr. Gerhard Klimeck is a Chaired Professor of Electrical and Computer Engineering at Purdue University; Director of the Network for Computational Nanotechnology; Reilly Director of the Center for Predictive Materials and Devices. He helped to create nanoHUB.org, the largest virtual nanotechnology user facility serving over 2.0 million global users, annually. Dr. Klimeck is a fellow of the Institute of Physics (IOP), the American Physical Society (APS), the Institute of Electrical and Electronics Engineers (IEEE), the American Association for the Advancement of Science (AAAS), and the German Humboldt Foundation. He has published over 525 printed scientific articles; he has been recognized for his co-invention of a single-atom transistor, quantum mechanical modeling theory, and simulation tools. His NEMO5 software has been used since 2015 at Intel to design nano-scaled design transistors. He was recently awarded a top 100 by R&D for his nanoHUB work - Making simulation and data pervasive.
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