Tags: Jupyter notebooks

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  1. Machine Learning for Materials Science: Part 1

    Tools | 09 Feb 2019 | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan, Saaketh Desai

    Machine learning and data science tools applied to materials science

  2. PhysiCell: invader-scout-attacker system

    Tools | 05 Feb 2019 | Contributor(s):: Paul Macklin, Randy Heiland

    PhysiCell model of an invader-scout-attacker multicellular system

  3. PhysiCell cancer biorobots simulation

    Tools | 28 Jan 2019 | Contributor(s):: Randy Heiland, Paul Macklin

    2D simulation of biorobots delivering a drug to cancer cells

  4. Nanoparticle Assembly Lab

    Tools | 28 Jan 2019 | Contributor(s):: Nicholas Brunk, JCS Kadupitiya, Masaki Uchida, Douglas, Trevor, Vikram Jadhao

    Simulate assembly of nanoparticles into aggregates in physiological conditions.

  5. Kirigami Design and Analysis

    Tools | 28 Jan 2019 | Contributor(s):: Subhadeep De, Darren K Adams

    Design and mechanical analysis of Kirigami structures

  6. DFT-LDA Helium

    Tools | 06 Dec 2018 | Contributor(s):: Dongsheng Wen, Alejandro Strachan

    Calculate ground state energy of Helium atom with DFT.

  7. TensorFlow Tutorials

    Tools | 03 Dec 2018 | Contributor(s):: Juan Carlos Verduzco Gastelum, Saaketh Desai, Alejandro Strachan

    Ready-to-run Jupyter notebooks for machine learning using Tensorflow and Keras

  8. FunUQ for MD

    Tools | 22 Oct 2018 | Contributor(s):: Sam Reeve, Alejandro Strachan

    Functional uncertainty quantification for molecular dynamics

  9. Sandbox2D FDTD Multiphysics simulator

    Tools | 17 Oct 2018 | Contributor(s):: Ludmila Prokopeva, Sam Peana, Alexander V. Kildishev

    FDTD Yee's scheme coupled to multiphysics models: generalized dispersion model, generalized gain model and other nonlinearities

  10. DARPA Sandbox-1D tool to simulate BA media

    Tools | 17 Oct 2018 | Contributor(s):: Ludmila Prokopeva, Alexander V. Kildishev, Sam Peana

    Simulates propagation through the slab of BA optical media

  11. Uncertainty Quantification Tutorial using Jupyter Notebooks

    Teaching Materials | 02 Oct 2018 | Contributor(s):: Ilias Bilionis

    Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions,...

  12. Graphene Nanopore Drilling

    Tools | 27 Sep 2018 | Contributor(s):: Jae Hyun Park, Darren K Adams, Narayan Aluru

    Drilling a nanopore in graphene by Si-nanoparticle bombardment

  13. Jupyter development version

    Tools | 11 Sep 2018 | Contributor(s):: Martin Hunt

    For testers only.

  14. Introduction to MATLAB - Jupyter Notebooks with Octave 4.2.0

    Teaching Materials | 14 Aug 2018 | Contributor(s):: Abhishek K. Umrawal

    Teaching material for "Introduction to MATLAB" a 40-hour workshop for Summer Undergraduate Research students organized by the Network for Computational Nanotechnology (NCN), Purdue University, IN.

  15. Two Photon Lithography

    Tools | 06 Jul 2018 | Contributor(s):: Mohammad Mahfuzul Kabir, Varun Ajit Kelkar, Darren K Adams, Kimani C Toussaint

    Calculate voxel dimensions for a two-photon lithography process

  16. Sharing your Jupyter notebook.

    Q&A|Closed | Responses: 2

    Nice widgets design!

    Would love to get a copy of your Jupyter notebook. 

    Thx.

    https://nanohub.org/answers/question/2035

  17. Graphene Raman Fitting Tool

    Tools | 29 May 2018 | Contributor(s):: Matthew Glen Robertson, Aagam Rajeev Shah, Darren K Adams, Elif Ertekin

    Analyze Raman spectra from graphene

  18. Nanosphere Electrostatics Lab

    Tools | 22 May 2018 | Contributor(s):: JCS Kadupitiya, Nicholas Brunk, Sohile Ali, Fox, Geoffrey C., Vikram Jadhao

    The Nanosphere Electrostatics Lab empowers users to simulate the self-assembly of ions near a spherically shaped nanoparticle, and extract the effective electrostatic properties.

  19. NCN Retrospective Metrics Report

    Tools | 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.

  20. Optimized Workflow for Electronic and Thermoelectric Properties

    Tools | 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.