Tags: DFT

All Categories (1-20 of 72)

  1. DFT-LDA Helium

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

    Calculate ground state energy of Helium atom with DFT.

  2. Electronic Structure and Transport Properties of Graphene on Hexagonal Boron Nitride

    06 Dec 2018 | Contributor(s):: Shukai Yao, Luis Regalado Bermejo, Alejandro Strachan

      Graphene is a zero-bandgap conductor with high carrier mobility. It is desired to search for an opening of band structure of graphene such that this kind of material can be applied in electronic devices. Depositing hexagonal Boron Nitride (h-BN) opens a bandgap in the band structure of...

  3. Ruqian Wu

    https://nanohub.org/members/212824

  4. Computational Catalysis with Density Functional Theory

    08 Aug 2018 | Contributor(s):: Kevin Greenman, Peilin Liao

    Heterogeneous catalysis is used in a significant portion of production processes in the industrialized world, which makes maximizing the efficiency of catalysts a high priority. However, the immense number of candidates for new catalysts precludes the possibility of testing all of them by...

  5. Computational Catalysis with DFT

    01 Aug 2018 | Contributor(s):: Kevin Greenman, Peilin Liao

    DFT tool for studying heterogeneous catalysis

  6. High Pressure DFT Data

    20 Feb 2018 | Contributor(s):: Austin Zadoks, Sam Reeve, Karthik Guda Vishnu, Alejandro Strachan

    Query and retrieve elastic constants and phase stability data from high-pressure DFT calculations

  7. Dibya Prakash Rai

    https://nanohub.org/members/187116

  8. Using DFT to Predict the Equilibrium Lattice Parameter and Bulk Modulus of Crystalline Materials

    23 Aug 2017 | Contributor(s):: André Schleife, Materials Science and Engineering at Illinois

    This activity guides users through the use of DFT calculations with Quantum ESPRESSO in nanoHUB to calculate the total energy of a crystal structure.  By varying the volume of the structure, and calculating the associated energies, the equilibirum structure can be found. Users are...

  9. Using DFT to Simulate the Band Structure and Density of States of Crystalline Materials

    23 Aug 2017 | Contributor(s):: André Schleife, Materials Science and Engineering at Illinois

    In this activity, DFT is used to simulate the band structure and density of states of several crystalline semiconductors.  Users are instructed in how to use the Bilbao Crystallographic Server to select a path through the Brillouin zone for each structure.This activity is adapted from an...

  10. Computer Modeling Module: Chemical Reaction Simulation using SIESTA

    23 Aug 2017 | | Contributor(s):: Lan Li

    This activity guides students through a module using the SIESTA DFT tool that is housed within the MIT Atomic Scale Modeling Toolkit on nanoHUB. Instructional videos, background reading, reminders and the assignment are included.Learning outcomes:Get familiar with SIESTA tool and activation...

  11. Dedy Farhamsa

    https://nanohub.org/members/170299

  12. Avishai Barnoy

    https://nanohub.org/members/161821

  13. 2016 IMECE Tutorials on Phonon Transport Modeling

    04 Jan 2017 | | Contributor(s):: Alan McGaughey, Xiulin Ruan

    Advances in theoretical methodologies and computational power in the last fifteen years have enabled the prediction of phonon properties with high resolution and fidelity. Notably, the use of molecular dynamics simulations, lattice dynamics calculations, density functional theory calculations,...

  14. Fundamentals of Phonon Transport Modeling L4: Anharmonic Lattice dynamics, First Principles

    04 Jan 2017 | | Contributor(s):: Alan McGaughey, Xiulin Ruan

    Part of the 2016 IMECE Tutorial: Fundamentals of Phonon Transport Modeling: Formulation, Implementation, and Applications.

  15. Machine learned approximations to Density Functional Theory Hamiltonians - Towards High-Throughput Screening of Electronic Structure and Transport in Materials

    13 Dec 2016 | | Contributor(s):: Ganesh Krishna Hegde

    We present results from our recent work on direct machine learning of DFT Hamiltonians. We show that approximating DFT Hamiltonians accurately by direct learning is feasible and compare them to existing semi-empirical approaches to the problem. The technique we have proposed requires little...

  16. OQMD: The Open Quantum Materials Database

    Collections | 03 Nov 2016 | Posted by Tanya Faltens

    https://nanohub.org/groups/materials/collections/materials-science-reference-data

  17. GGA-PBE Prediction of TiC Bulk Modulus

    Collections | 31 Oct 2016 | Posted by David M Guzman

    https://nanohub.org/groups/materials/collections/saved-materials-science-runs

  18. Si band structure sequence

    Collections | 30 Oct 2016 | Posted by Tanya Faltens

    https://nanohub.org/groups/materials/collections/saved-materials-science-runs

  19. Marius Stan

    https://nanohub.org/members/156713

  20. NEMO5 and 2D Materials: Tuning Bandstructures, Wave Functions and Electrostatic Screening

    19 Oct 2016 | | Contributor(s):: Tillmann Christoph Kubis

    In this talk, I will briefly discuss the MLWF approach and compare it to DFT and atomistic tight binding. Initial results using the MLWF approach for 2D material based devices will be discussed and compared to experiments. These results unveil systematic band structure changes as functions of the...