Tags: computational materials science

Description

Computational materials science is the application of computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing materials such as: metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials, polymers, liquid crystals, surfactants, emulsions, polymer nanocomposites, nanocrystal superlattices and nanoparticles.

Tools (1-20 of 43)

  1. Schrödinger Materials Science AutoQSAR for Machine Learning

    11 Sep 2023 |

    Build quantitative structure-activity relationships (QSAR) automatically for molecular systems with Schrödinger's AutoQSAR tool

  2. Machine Learning in Physics

    04 Nov 2021 | | Contributor(s):: Nicolas Onofrio

    Lectures and tutorials to learn how to write machine learning programs with Python

  3. Materials Simulation Toolkit for Machine Learning (MAST-ML) tutorial

    07 May 2021 | | Contributor(s):: Ryan Jacobs, BENJAMIN AFFLERBACH

    Tutorial showing the many use cases for the MAST-ML package to build, evaluate and analyze machine learning models for materials applications.

  4. MIT Atomic-Scale Modeling Toolkit

    15 Jan 2008 | | Contributor(s):: David A Strubbe, Enrique Guerrero, daniel richards, Elif Ertekin, Jeffrey C Grossman, Justin Riley

    Tools for Atomic-Scale Modeling

  5. Machine Learning Defect Behavior in Semiconductors

    09 Nov 2020 | | Contributor(s):: Arun Kumar Mannodi Kanakkithodi, Rushik Desai (editor)

    Develop machine learning models to predict defect formation energies in chalcogenides

  6. Data Analysis of Normal Data Sets in Engineering

    04 Jun 2020 | | Contributor(s):: Joseph Joshua Williams, Nancy Ruzycki

    Statistical and data analysis concepts in engineering

  7. Citrine Tools for Materials Informatics

    02 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. Henry Coefficient Simulator

    21 Oct 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Calculate Henry's constant of several sites on a nanoporous material

  9. Gibbs Adsorption Simulator

    23 Sep 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the adsorption of gases using Gibbs ensemble

  10. NPT Simulator

    20 Aug 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Calculate density and total energy of gas molecules using NPT ensemble

  11. Adsorption Energy Calculator

    18 Aug 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Calculate the total energy of adsorbates as they move around a metal organic framework

  12. Mixed Gas Diffusion Calculator

    25 Jun 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates the diffusion of a gas mixture onto a metal organic framework

  13. Gas Adsorption Calculator

    07 Mar 2019 | | Contributor(s):: Julian C Umeh, Thomas A Manz

    Simulates gas adsorption onto metal organic frameworks

  14. Gas Diffusion Coefficient in Metal Organic Frameworks

    22 Feb 2019 | | Contributor(s):: Julian Chinonso Umeh, Thomas A Manz

    Calculates gas self diffusion coefficient in metal organic frameworks

  15. Phase Transforming Cellular Materials Simulator

    07 Jun 2017 | | Contributor(s):: Yunlan Zhang, Chidubem Nuela Enebechi, Kristiaan William Hector, Gavin Carter, ASHLEY MIN, Valeria Grillo, David Restrepo, Nilesh Mankame, Pablo Daniel Zavattieri

    The tool will predict mechanical behavior of PXCMs given the the response of the unit cell

  16. High Throughput DFT Calculation Resources

    16 Jun 2017 | | Contributor(s):: Austin Jacob Zadoks, Karthik Guda Vishnu, Sam Reeve, David M Guzman, Alejandro Strachan

    Python functions / libraries / other resources useful for running High Throughput (query-based) DFT calculations on nanoHUB

  17. Spin Transport Modeling Tool

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

    Calculates spin transport parameters in nanoscale metallic interconnects.

  18. ZENO

    16 Nov 2016 | | Contributor(s):: Derek Juba, Debra Audus, Michael Mascagni, Jack Douglas, Walid Keyrouz

    Calculation of hydrodynamic, electrical, and shape properties of polymer and particle suspensions

  19. ab initio simulations with ORCA

    28 Jul 2015 | | Contributor(s):: nicolas onofrio, Alejandro Strachan

    ab initio and density functional theory calculations dedicated to molecular systems

  20. nuSIMM: nanoHUB user Simulation Interface for Molecular Modeling

    26 May 2015 | | Contributor(s):: Michael Fortunato, Lauren Abbott, Kyle E Hart, coray colina

    Simulated polymerization, equilibration, and characterization of molecular models