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Progress in technology has brought microelectronics to the nanoscale, but nanoelectronics is not yet a well-defined engineering discipline with a coherent, experimentally verified, theoretical framework. The NCN has a vision for a new, 'bottom-up' approach to electronics, which involves: understanding electronic conduction at the atomistic level; formulating new simulation techniques; developing a new generation of software tools; and bringing this new understanding and perspective into the classroom. We address problems in atomistic phenomena, quantum transport, percolative transport in inhomogeneous media, reliability, and the connection of nanoelectronics to new problems such as biology, medicine, and energy. We work closely with experimentalists to understand nanoscale phenomena and to explore new device concepts. In the course of this work, we produce open source software tools and educational resources that we share with the community through the nanoHUB.
This page is a starting point for nanoHUB users interested in nanoelectronics. It lists key resources developed by the NCN Nanoelectronics team. The nanoHUB contains many more resources for nanoelectronics, and they can be located with the nanoHUB search function. To find all nanoelectronics resources, search for 'nanoelectronics.' To find those contributed by the NCN nanoelectronics team, search for 'NCNnanoelectronics.'
More information on Nanoelectronics can be found here.
28 Feb 2012 | | Contributor(s):: Stella Quinones, Robert Benjamin Post
Visualize and understand the complex numbers represented in both rectangular and polar coordinates.
Piece-Wise Constant Potential Barriers Tool
30 Jun 2008 | | Contributor(s):: Xufeng Wang, Samarth Agarwal, Gerhard Klimeck, Dragica Vasileska, Mathieu Luisier, Jean Michel D Sellier
Transmission and the reflection coefficient of a five, seven, nine, eleven and 2n-segment piece-wise constant potential energy profile
PN Junction Lab
12 Sep 2005 | | Contributor(s):: Dragica Vasileska, Matteo Mannino, Michael McLennan, Xufeng Wang, Gerhard Klimeck, Saumitra Raj Mehrotra, Benjamin P Haley
This tool enables users to explore and teach the basic concepts of P-N junction devices.
Probabilistic Spin Logic Simulator
11 Mar 2017 | | Contributor(s):: Brian Sutton, Kerem Yunus Camsari, Rafatul Faria, Supriyo Datta
Simulation environment and tutorial for Probabilistic Spin Logic (PSL)
Process Lab: Concentration-Dependent Diffusion
09 Oct 2006 | | Contributor(s):: Shuqing (Victor) Cao, yang liu, Peter Griffin
This modules simulates both the standard diffusion and concentration-dependent diffusion.
Process Lab: Defect-coupled diffusion
This tool simulates dopant diffusion coupled with point defects.
Process Lab: Oxidation Flux
This module simulates the oxidation flux.
Integrated Circuit Fabrication Process Simulation
15 May 2005 | | Contributor(s):: Connor S. Rafferty, kent smith, Yang Liu, Derrick Kearney, Steven Clark
Framework for solving systems of partial differential equations (PDEs) in time and 1, 2, or 3 space dimensions
Purdue University Bifacial Module Calculator (PUB)
30 Jan 2018 | | Contributor(s):: Binglin Zhao, Xingshu Sun, Mohammad Ryyan Khan, Muhammad Ashraful Alam
A tool to simulate and optimize the energy yield of both bifacial and monofacial solar modules
Purdue University Meteorological Tool
24 Oct 2017 | | Contributor(s):: Binglin Zhao, Xingshu Sun, Mohammad Ryyan Khan, Muhammad Ashraful Alam
Provide meteorological data from national databases.
14 Feb 2006 | | Contributor(s):: Baudilio Tejerina
Quantum Chemsitry Lab: Ab Initio and DFT molecular and electronic structure calculations of small molecules
13 Mar 2006 | | Contributor(s):: Shaikh S. Ahmed, Dragica Vasileska
Quantum-corrected Monte-Carlo electron transport simulator for two-dimensional MOSFET devices.
Quantum and Semi-classical Electrostatics Simulation of SOI Trigates
19 Feb 2008 | | Contributor(s):: Hyung-Seok Hahm, Andres Godoy
Generate quantum/semi-classical electrostatic simulation results for a simple Trigate structure
Quantum Dot Lab
12 Nov 2005 | | Contributor(s):: Prasad Sarangapani, James Fonseca, Daniel F Mejia, James Charles, Woody Gilbertson, Tarek Ahmed Ameen, Hesameddin Ilatikhameneh, Andrew Roché, Lars Bjaalie, Sebastian Steiger, David Ebert, Matteo Mannino, Hong-Hyun Park, Tillmann Christoph Kubis, Michael Povolotskyi, Michael McLennan, Gerhard Klimeck
Compute the eigenstates of a particle in a box of various shapes including domes, pyramids and multilayer structures.
Quantum Dot Lab via Jupyter
30 Aug 2017 | | Contributor(s):: Khaled Aboumerhi, Tarek Ahmed Ameen, Prasad Sarangapani, Daniel F Mejia, Gerhard Klimeck
Simulate 3-D confined states in quantum dot geometries using Jupyter notebook for educational purposes
Quantum Point Contact
18 May 2006 | | Contributor(s):: Richard Akis, Shaikh S. Ahmed, Mohammad Zunaidur Rashid, Richard Akis
Simulates the conductance and associated wavefunctions of Quantum Point Contacts.
QWalk Quantum Monte Carlo Tutorial
15 Jun 2007 | | Contributor(s):: Lucas Wagner, Jeffrey C Grossman, Jeffrey B. Neaton, Ian Michael Rousseau
An accurate method to calculate the many body ground state of electrons
Random laser dynamics
12 Sep 2008 | | Contributor(s):: Alexander Gavrilenko, Sarshi Nardren, Taina D. Matos
Simulation of random laser dynamics
Resistor Color Code
10 Feb 2012 | | Contributor(s):: Robert Benjamin Post, Stella Quinones
Apply the color code to determine the resistance value of a resistor or input a resistance value and determine the color code of the resistor.