Tags: semiconductors

Resources (1-20 of 57)

  1. Essential Physics of the Ultimate MOSFET and the Next 20 Years of Semiconductor Technology

    18 Mar 2024 | | Contributor(s):: Mark Lundstrom

    My goal in this talk is to discuss the operation of these devices in a simple but physically sound way. A broader goal of my talk is to discuss how semiconductor technology will meet the insatiable appetite that artificial intelligence has for more computing, more memory, and faster communication.

  2. Semiconductors and Sustainability

    05 Jan 2024 | | Contributor(s):: John Howater

  3. ABACUS Tool Suite (Fall 2023)

    19 Oct 2023 | | Contributor(s):: Gerhard Klimeck

    The objective of the recitation series is to enable faculty to enhance existing or new semiconductor classes with interactive simulations.

  4. ECE 606: Solid State Devices I

    20 Jul 2023 | | Contributor(s):: Gerhard Klimeck

    This course provides the graduate-level introduction to understand, analyze, characterize and design the operation of semiconductor devices such as transistors, diodes, solar cells, light-emitting devices, and more.The material will primarily appeal to electrical engineering students whose...

  5. ECE 606 L2.1: Materials - Typical Semiconducting Materials

    20 Jul 2023 | | Contributor(s):: Gerhard Klimeck

  6. ECE 606 L2.2: Materials - Typical Applications of Elemental and Compound Semiconductors

    20 Jul 2023 | | Contributor(s):: Gerhard Klimeck

  7. One Trillion by 2030

    19 Apr 2023 | | Contributor(s):: Keyvan Esfarjani

    Purdue alumni Keyvan Esfarjani, Intel Corporation Executive Vice President and Chief Global Operations Officer, discusses the semiconductor industry’s evolution to the Trillion Era.

  8. Power Diode Lab

    21 Nov 2022 | | Contributor(s):: Jing Guo, Ning Yang

    Calculate the critical breakdown electric field, break down voltage, depletion region thickness, and specific on resistance of power diodes.

  9. 2D Material Carrier Concentration Lab

    15 Nov 2022 | | Contributor(s):: Jing Guo, Ning Yang

    Simulate density of states, carrier statistics, and carrier concentrations in two-dimensional semiconductors and graphene

  10. Alternative Hitachi SEM Techniques

    17 May 2022 |

    Robert Passeri, Hitachi engineer, discusses STEM and low kV imaging techniques with the Hitachi SEM S4800.

  11. nanoHUB.org: Immersive Online Semiconductor Education and Workforce Development with Broad Academic Adoption

    02 Feb 2022 | | Contributor(s):: Gerhard Klimeck, Daniel Mejia, Alejandro Strachan, Lynn Zentner, Michael Zentner

    Over 150,000 nanoHUB users have run over 7 million simulations in browsers. Most nanoHUB apps deal with semiconductor device and materials modeling. These apps provide very simple and intuitive interfaces to community codes that are hard to install, operate, and to maintain even for experts. As...

  12. Recitation Series for Semiconductor Education

    08 Dec 2021 | | Contributor(s):: Gerhard Klimeck

    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...

  13. OctopusPY: Tool for Calculating Effective Mass from Octopus DFT Bandstructures

    16 Aug 2021 | | Contributor(s):: Olivia M. Pavlic, Austin D. Fatt, Gregory T. Forcherio, Timothy A. Morgan, Jonathan Schuster

    OctopusPY is a Python package supporting manipulation and analytic processing of electronic band structure data generated by the density functional theory (DFT) software Octopus. In particular, this package imports Octopus-calculated band structure for a given material and...

  14. Machine Learning Framework for Impurity Level Prediction in Semiconductors

    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.

  15. Machine Learning Defect Behavior in Semiconductors

    10 Nov 2020 | | Contributor(s):: Arun Kumar Mannodi Kanakkithodi, Rushik Desai (editor)

    Develop machine learning models to predict defect formation energies in chalcogenides

  16. E3S Theme III: Nanophotonics eBook

    01 Sep 2020 | | Contributor(s):: Center for Energy Efficient Electronics Science (editor), Nicholas Andrade, Seth Fortuna, Kevin Han, Sean Hooten, Jeehwan Kim, Yunjo Kim, Ming C. Wu

    This eBook was written by faculty, postdoctoral researchers, students, and staff of the Center for Energy Efficient Electronics Science (E3S), a Science and Technology Center funded by the U.S. National Science Foundation (Award 0939514). The Center is a consortium of five world-class academic...

  17. Introduction to Electronics

    17 Apr 2020 | | Contributor(s):: Center for E3S, Aaron Ragsdale

    Aaron Ragsdale, a former Master's student and researcher at Stanford University, leads an introductory course on common components, devices and elementary design techniques. This course consists of four modules: 1: Fundamental Variables & Electrical Components 2: Circuit...

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

    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...

  19. Hiding Behind the Mask: A Fabrication Activity Focused on Etching

    13 Jan 2020 | | Contributor(s):: John Gomm, NNCI Nano

    This lab is designed to help students understand one aspect of semiconductor manufacture: selective layering. The activity focuses on electrochemical etching which is used in semiconductor manufacturing.

  20. Windows based Interactive tool for the simulation of the MOS electrostatics by varying the different parameters given in the sliders and input boxes

    26 Jun 2019 | | Contributor(s):: Biswajeet Sahoo

    This is a tool to simulate the MOS electrostatics. It includes the simulation of  2 terminal, 3 terminal and 4 terminal MOSFET. Everything is done for both nMOS and pMOS. This tool is designed to give users an interactive visual representation of how a MOSFET would work...