Tags: nanoelectronics


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.

Tools (1-20 of 202)

  1. NCN Retrospective Metrics Report

    10 May 2018 | Contributor(s):: Dwight McKay

    This tool and the associated new hub-analytics package replace the old NCN Annual Report with a easily modified, more self-service alternative geared to current and future reporting requirements.

  2. Optimized Workflow for Electronic and Thermoelectric Properties

    14 Aug 2017 | | Contributor(s):: Gustavo Javier, Austin Zadoks, David M Guzman, Alejandro Strachan

    Uses Density Functional Theory (DFT) to extract electronic properties of materials and connects to the nanoHUB tool Landauer Transport Properties (LanTraP) for thermoelectric calculations.

  3. 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

  4. SPICE Subcircuit Generator for Ferromagnetic Nanomaterials

    11 Jan 2018 | | Contributor(s):: Onur Dincer, Azad Naeemi

    Generates SPICE subcircuit netlist for ferromagnetic nanometarials for spintronic devices

  5. Electrostatic Properties Simulation of Layered 2D Material Devices

    07 Aug 2017 | | Contributor(s):: Abhinandan Borah, Jamie Teherani

    Simulate charge carrier density, potential drop and energy band diagram across any vertical 1D cross-section in a layered heterostructure of 2D semiconductors, graphene and metals.

  6. Spectral analysis of non-equilibrium molecular dynamics

    28 Jun 2017 | | Contributor(s):: Tianli Feng, Yang Zhong, Divya Chalise, Xiulin Ruan

    Extract the phonon modal temperature and heat flux from non-equilibrium molecular dynamics

  7. Specific Resistance for Copper Interconnects

    15 Nov 2017 | | Contributor(s):: Daniel A. Valencia-Hoyos, Gustavo A Valencia, Daniel F Mejia, Kuang-Chung Wang, Zhengping Jiang, Gerhard Klimeck, Michael Povolotskyi

    This tool calculates the specific resistance $rho(alpha,beta,gamma)$ based on the atomistic model reported in preprint arXiv:1701.04897

  8. 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.

  9. LAMMPS Data-File Generator

    01 Aug 2017 | | Contributor(s):: Carlos Miguel Patiño, Lorena Alzate-Vargas, Chunyu Li, Benjamin P Haley, Alejandro Strachan

    This tool generates all necessary input files for LAMMPS simulations of molecular systems starting with an atomistic structure.

  10. Electrochemical Simulation

    20 Jul 2017 | | Contributor(s):: Joseph Anderson

    Simulate molecular dynamics using LAMMPS as well as an addition electrochemical force field (EChemDID)

  11. SPICE Subcircuit Generator for Spintronic Nonmagnetic Metallic Channel Components

    23 Sep 2017 | | Contributor(s):: Onur Dincer, Azad Naeemi

    Generates SPICE subcircuit netlist for electronic and spintronic transport in nanoscale nonmagnetic metallic channels

  12. Monte Carlo Phonon Transport Simulator

    30 Aug 2017 | | Contributor(s):: Mohammad Zunaidur Rashid, Sasi Sekaran Sundaresan, Shaikh S. Ahmed

    Calculates thermal conductivity of semiconductors by solving the Boltzmann transport equation via particle-based Monte Carlo method

  13. 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

  14. TrapSimulator

    28 Sep 2016 | | Contributor(s):: Ricardo Carvalho de Melos

    A RTN behavior Simulation Tool

  15. Spin Transport Modeling Tool

    21 Aug 2017 | | Contributor(s):: Onur Dincer, Azad Naeemi

    Calculates spin transport parameters in nanoscale metallic interconnects.

  16. MEM oscillator network application simulation

    30 Jul 2017 | | Contributor(s):: Xinrui Wang

    Simulate pattern recognition and convolution using a MEMS oscillator network solver. (To get started, click dashboard preview and go to "run all" under menu "cell".)

  17. S4 Editor

    19 Jul 2017 | | Contributor(s):: Martin Hunt

    Edit a Lua script for the Stanford Stratified Structure Solver and visualize the output

  18. Breakdown Voltage & Current Density Calculator for meso scale gaps

    14 Jul 2016 | | Contributor(s):: Sebastian Camilo Mendoza Rincon, Siva Sashank Tholeti, Alina Alexeenko

    Calculates breakdown voltage and Fowler-Nordheim current density for meso scale gaps

  19. Vacancy Formation Energy with MD

    03 May 2017 | | Contributor(s):: Sam Reeve, Alejandro Strachan

    Calculate vacancy formation energy with molecular dynamics and various atomic interaction models

  20. 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)