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Tags: nano/bio

Tools (1-20 of 68)

  1. Traction Force Microscopy

    17 Apr 2014 | Tools | Contributor(s): Bara Saadah, AbderRahman N Sobh, Alireza Tofangchi

    This is a tool for particle motion tracking with respect to physical forces.

    https://nanohub.org/resources/parttrack

  2. Nanoindentation of semi infinite domains (Hertzian Indentation models)

    04 Jan 2015 | Tools | Contributor(s): Taha Goudarzi

    Using inverse methods to estimate the Young's Modulus of soft materials for a given experimental nanoindentation force-displacement data.

    https://nanohub.org/resources/hertzindent

  3. Nanoindentation of soft viscoelastic materials

    04 Jan 2015 | Tools | Contributor(s): Taha Goudarzi

    Finds viscoelastic parameters of Standard Linear Solid models from experimental data

    https://nanohub.org/resources/viscoindent

  4. nanoDDSCAT+

    13 Aug 2014 | Tools | Contributor(s): AbderRahman N Sobh

    Combines the Discrete Dipole Scattering (DDSCAT) tool with the DDAConvert tool for a single workflow for custom shapes.

    https://nanohub.org/resources/ddaplus

  5. IMOD online

    09 Jun 2014 | Tools | Contributor(s): Mingxuan Lu, Chang Wan Han, Benjamin P Haley, Volkan Ortalan

    Online IMOD tool for electron tomography

    https://nanohub.org/resources/imod

  6. Nanoindentation

    28 Oct 2013 | Tools | Contributor(s): Slim Kibech, AbderRahman N Sobh, Pratik Naik, Nahil Sobh, Iwona Jasiuk

    Nanoindentation for Mechanical Characterization of Soft Materials

    https://nanohub.org/resources/nanoindentation

  7. nanoDDSCAT

    23 Apr 2013 | Tools | Contributor(s): Prashant K Jain, Nahil Sobh, Jeremy Smith, AbderRahman N Sobh, Sarah White, Jacob Faucheaux, John Feser

    Calculate scattering and absorption of light by targets with arbitrary geometries and complex refractive index.

    https://nanohub.org/resources/dda

  8. cadnano to PDB File Converter

    13 Nov 2013 | Tools | Contributor(s): Jejoong Yoo, AbderRahman N Sobh, Chen-Yu Li, Aleksei Aksimentiev

    Accepts CadNano files in the form of *.json and outputs a file in *.pdb which can be read by programs such as VMD.

    https://nanohub.org/resources/cadnanocvrt

  9. Functionalization Workbench

    30 Aug 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jasper Taylor Maniates-Selvin, Kaustubh Bhalerao, Adri van Duin, Chen-Yu Li

    Using molecular dynamic simulation - explore the interactions between a molecular structure and substrate when they are linked together.

    https://nanohub.org/resources/partsub

  10. Tensile Mechanics of alpha-Helical Polypeptides

    30 Aug 2013 | Tools | Contributor(s): Korosh Torabi, George C. Schatz

    This model is capable of making quantitatively accurate predictions of force-extension behavior of a given helix-forming polypeptide sequence including its dependence on pH, temperature and ionic...

    https://nanohub.org/resources/ahpull

  11. Molecular Dynamics Showcase

    06 Jul 2013 | Tools | Contributor(s): Michael McLennan, Chen-Yu Li, john stone, Aleksei Aksimentiev

    View interesting features of a molecular dynamics trajectory file

    https://nanohub.org/resources/mdshowcase

  12. Neural Systems Modeling Ch10-13 Master Tool

    02 Aug 2013 | Tools | Contributor(s): Jessica S Johnson, NanoBio Node

    Combination of all tools used in Chapters 10-13 of Neural Systems Modeling by Anastasio

    https://nanohub.org/resources/nsmch10master

  13. [Illinois]: Neural Systems Modeling Ch 6-9 Master Tool

    26 Jul 2013 | Tools | Contributor(s): Jessica S Johnson, NanoBio Node

    Combination of all tools used in Chapters 6-9 of Neural Systems Modeling by Anastasio

    https://nanohub.org/resources/nsmch6master

  14. [Illinois]: Error Gradient Estimations Due to Parallel Perturbation of Weights

    07 Jul 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool trains two-layered networks of sigmoidal units to associate patterns using simultaneous perturbation of weights.

    https://nanohub.org/resources/pertgradll

  15. [Illinois]: Perturbative Reinforcement Learning to Develop Distributed Representations

    10 Jul 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool trains three-layered networks of sigmoidal units to associate patterns.

    https://nanohub.org/resources/pertdistrep

  16. [Illinois]: Perturbative Reinforcement Learning Using Directed Drift

    10 Jul 2013 | Tools | Contributor(s): AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool trains two-layered networks of sigmoidal units to associate patterns using a real-valued adaptation of the directed drift algorithm.

    https://nanohub.org/resources/pertdd

  17. [Illinois]: Temporal Difference, Iterative Dynamic Programming, and Least Mean Squares

    11 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson

    This tool updates state values using the Temporal Difference Algorithm.

    https://nanohub.org/resources/tempdiff

  18. Crystalline Cellulose - Atomistic Toolkit

    17 Jul 2013 | Tools | Contributor(s): Mateo Gómez Zuluaga, Robert J. Moon, Fernando Luis Dri, Pablo Daniel Zavattieri

    Crystalline Cellulose - Atomistic Toolkit

    https://nanohub.org/resources/ccamt

  19. [Illinois]: Direction Selectivity

    13 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool implements a simple direction selective network.

    https://nanohub.org/resources/dirselectivity

  20. [Illinois]: Predict Correct Set Up

    15 Jul 2013 | Tools | Contributor(s): Bara Saadah, Nahil Sobh, AbderRahman N Sobh, Jessica S Johnson, NanoBio Node

    This tool sets up a predictor-corrector model of target tracking

    https://nanohub.org/resources/predcorsetup

nanoHUB.org, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.