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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
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PhysiCell: invader-scout-attacker system
Tools | 05 Feb 2019 | Contributor(s):: Paul Macklin, Randy Heiland
PhysiCell model of an invader-scout-attacker multicellular system
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PhysiCell cancer biorobots simulation
Tools | 28 Jan 2019 | Contributor(s):: Randy Heiland, Paul Macklin
2D simulation of biorobots delivering a drug to cancer cells
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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.
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Kirigami Design and Analysis
Tools | 28 Jan 2019 | Contributor(s):: Subhadeep De, Darren K Adams
Design and mechanical analysis of Kirigami structures
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DFT-LDA Helium
Tools | 06 Dec 2018 | Contributor(s):: Dongsheng Wen, Alejandro Strachan
Calculate ground state energy of Helium atom with DFT.
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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
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FunUQ for MD
Tools | 22 Oct 2018 | Contributor(s):: Sam Reeve, Alejandro Strachan
Functional uncertainty quantification for molecular dynamics
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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
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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
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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,...
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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
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Jupyter development version
Tools | 11 Sep 2018 | Contributor(s):: Martin Hunt
For testers only.
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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.
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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
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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
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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
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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.
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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.
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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.