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Ongoing Faculty Engagements

Ongoing Faculty Engagements

Over 80,000 nanoHUB users have studied nano-scale phenomena in formalized classroom settings through through modeling and simulation. Faculty members typically assign homework or projects to be performed by students in their classes. Students can learn the teaching concepts through simple to use apps that focus on ease of use and delivery of modeling results. No software installation is needed and the learning curve to use these apps is not steep at all.

Recent economic needs have re-kindled national and global interest in semiconductor devices and created an urgent need for more semiconductor device engineers and architects. Current students will need to be trained in the fundamentals of semiconductor devices to meet this growing semiconductor demand. Dr. Klimeck will introduce the tools found in the ABACUS tool suite in nanoHUB. He developed these tools to teach his standard semiconductor device class at Purdue University. These tools include simulations of: crystal structures and lattices, bandstructure and band models, bulk semiconductors, PN Junctions, Bipolar Junction Transistors, MOS Capacitors, and MOSFETs. The ABACUS tool suite is very popular, and has been used by over 15,000 users and in over 350 classes globally. The ABACUS group page highlights various features and animations.

The objective of this recitation series is to enable faculty to enhance existing or new semiconductor classes with interactive simulations. Simulations and animations can immerse students into “what if?” scenarios and engage them in more active forms of learning, including explorations used in homework assignments and design projects.

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This series of workshops introduces participants to important concepts and techniques in data science and machine learning in the context engineering and physical sciences applications. All workshops include hands-on activities, where participants apply the techniques to solve real problems using online resources at nanoHUB, no need to install any software.

Target audience: The workshops are designed for students, researchers, and industrial practitioners interested in exploring data science in a hands-on manner. The offerings assume little prior experience with machine learning and minimal programming experience. The Spring 2020 series contains introductory material.

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This is a closed group for faculty members who are teaching courses on the fundamentals of semiconductor devices, and is a place where faculty members can share assignments, lecture notes and other course material as well as hold discussions about teaching the course topics in a private environment that is not accessible to students.
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