Tags: Jupyter notebooks

All Categories (81-100 of 181)

  1. Volume Training App for PhysiCell

    10 Feb 2020 | | Contributor(s):: Furkan Kurtoglu, Aneequa Sundus

    Training application for "Volume" concept in PhysiCell.

  2. pc4thanos : Thanos vs. Avengers multicellular demonstrator

    31 Jan 2020 | | Contributor(s):: Paul Macklin

    PhysiCell Thanos vs. Avengers demonstrator for multicellular simulation techniques

  3. Introduction to Machine Learning in MSE: Predicting Bulk Modulus

    29 Jan 2020 | | Contributor(s):: Adrian Nat Gentry, Peilin Liao

    In this module, you will learn how to predict bulk modulus using machine learning.

  4. Death Training App for PhysiCell

    28 Jan 2020 | | Contributor(s):: Furkan Kurtoglu, Aneequa Sundus, Randy Heiland, Paul Macklin

    Training application for "Death" concept in PhysiCell.

  5. Nanoparticle Shape Lab

    10 Jan 2020 | | Contributor(s):: JCS Kadupitiya, Nicholas E. Brunk, Vikram Jadhao

    Simulates the low-energy shapes of nanocontainers over a wide range of solution conditions

  6. PhysiCell: Extracellular Matrix Modeling

    10 Dec 2019 | | Contributor(s):: John Metzcar, Ben Duggan, Randy Heiland, Daniel Matthew Murphy, Paul Macklin

    An extracellular matrix model developed in PhysiCell.

  7. Citrine Tools for Materials Informatics

    05 Dec 2019 | | Contributor(s):: Juan Carlos Verduzco Gastelum, Alejandro Strachan

    Jupyter notebooks for sequential learning in the context of materials design. Run your own models, explore various methods and adapt the notebooks to your needs.

  8. PhysiCell workshop training

    13 Nov 2019 | | Contributor(s):: Randy Heiland

    Provide a general purpose PhysiCell app for training.

  9. PhysiCell biorobots simulation

    12 Nov 2019 | | Contributor(s):: Randy Heiland, Paul Macklin

    2D sim of director, worker, and cargo cells.

  10. Hierarchical material optimization

    28 Oct 2019 | | Contributor(s):: Miguel Arcilla Cuaycong

    Assembles all possible configurations of a structural level in a Hierarchical Material.

  11. Motility Training App for PhysiCell

    17 Oct 2019 | | Contributor(s):: Furkan Kurtoglu, Aneequa Sundus, Kali Nicole Konstantinopoulos, Drew Willis, Mary Chen, Randy Heiland, Paul Macklin

    Training application for "Motility" concept in PhysiCell.

  12. Motility Training App

    20 Sep 2019 | | Contributor(s):: Furkan Kurtoglu, Aneequa Sundus, Kali Nicole Konstantinopoulos, Mary Chen, Drew Willis, Randy Heiland, Paul Macklin

    Training application for "Motility" concept in PhysiCell.

  13. Chemical Autoencoder for Latent Space Enrichment

    19 Sep 2019 | | Contributor(s):: Bryan Arciniega, Mackinzie S Farnell, Nicolae C Iovanac, Brett Matthew Savoie

    Chemical Autencoder uses machine learning for property prediction

  14. Data Science and Machine Learning for MSE Students: introduction and Hands-on Activities

    10 Sep 2019 | | Contributor(s):: Alejandro Strachan, Juan Carlos Verduzco Gastelum, Saaketh Desai

    This document introduces basic concepts of data science and machine learning in the context of materials science applications. The focus is on hands-on activities where readers use open, online tools in nanoHUB to explore the concepts being introduced. Topics covered include querying data...

  15. Tellurium

    26 Aug 2019 | | Contributor(s):: Somogyi, Andy T

    1.0

  16. Periodic Potential Lab - Kronig Penney Model - New Interactive Version

    23 Aug 2019 | | Contributor(s):: Daniel Mejia, Gerhard Klimeck

    Periodic Potential Lab - Kronig Penney Model - Interactively explore bandstructure and wavefunctions with different potentials

  17. PN Junction Lab (New Interactive Front End)

    16 Aug 2019 | | Contributor(s):: Daniel Mejia, Gerhard Klimeck

    Visualize and explore P-N junction concepts fully interactively: Band Edge Diagrams, Charge Densities, I-V and C-V Characteristics

  18. Crystal Viewer Lab (New Interactive Front End)

    16 Aug 2019 | | Contributor(s):: Daniel F Mejia, Gerhard Klimeck, Yuanchen Chu

    Visualize and interact with various Crystalline Materials and all Bravais Lattices

  19. GDS Analyzer

    25 Jul 2019 | | Contributor(s):: Jeffrey Spitz, Jie Qiu, Brian Salazar, Hayden Taylor

    Extracts feature data from GDS files

  20. MOS Simulator

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

    National Institute of Technology,Rourkela. This is an Interactive tool for the simulation of the MOS electrostatics by varying the different parameters given in the sliders and input boxes