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    Density Functional Theory

    127 курсов
    Interactive Modeling of Materials with DFT Using Quantum ESPRESSO - MIT Atomic Scale Toolkit
    nanohubtechtalks

    Interactive Modeling of Materials with DFT Using Quantum ESPRESSO - MIT Atomic Scale Toolkit

    DFT with SIESTA, Data Visualization, and Sophomore-level CURE Using MIT Atomic-Scale Modeling Toolkit
    nanohubtechtalks

    DFT with SIESTA, Data Visualization, and Sophomore-level CURE Using MIT Atomic-Scale Modeling Toolkit

    The Equation of State Between Nuclear Structure and Astrophysics - Lecture 4
    Galileo Galilei Institute

    The Equation of State Between Nuclear Structure and Astrophysics - Lecture 4

    The Equation of State Between Nuclear Structure and Nuclear Astrophysics and Beyond - Lecture 1
    Galileo Galilei Institute

    The Equation of State Between Nuclear Structure and Nuclear Astrophysics and Beyond - Lecture 1

    Getting from DaFT to DeFT: An Introduction to Using DFT for 2D Materials
    International Centre for Theoretical Sciences

    Getting from DaFT to DeFT: An Introduction to Using DFT for 2D Materials

    Engineering 2D Electron and Hole Gases at Si/SiGe Interfaces - Insights from DFT
    International Centre for Theoretical Sciences

    Engineering 2D Electron and Hole Gases at Si/SiGe Interfaces - Insights from DFT

    PBC Development in Q-Chem - 2024 Wormit Award
    QChemSoftware

    PBC Development in Q-Chem - 2024 Wormit Award

    Q-Chem: An Engine for Innovation - 2024 Virtual Winter School in Computational Chemistry
    QChemSoftware

    Q-Chem: An Engine for Innovation - 2024 Virtual Winter School in Computational Chemistry

    OO-DFT for Core-level Excitations and Applications to Molecular Symmetry Breaking - 2023 Besley Award
    QChemSoftware

    OO-DFT for Core-level Excitations and Applications to Molecular Symmetry Breaking - 2023 Besley Award

    Introduction to Q-Chem Software Package - Session 1
    QChemSoftware

    Introduction to Q-Chem Software Package - Session 1

    Density Functional Theory Overview - 2023 Virtual Winter School in Computational Chemistry
    QChemSoftware

    Density Functional Theory Overview - 2023 Virtual Winter School in Computational Chemistry

    Molecular Properties and Spectra Using DFT and TDDFT - Session 6
    QChemSoftware

    Molecular Properties and Spectra Using DFT and TDDFT - Session 6

    MRSF-TDDFT - Balancing Dynamic and NonDynamic Electron Correlations
    QCHEM LAB at KNU

    MRSF-TDDFT - Balancing Dynamic and NonDynamic Electron Correlations

    Efficient and Accurate van der Waals Correction for Density Functional Approaches in Material Simulations
    QCHEM LAB at KNU

    Efficient and Accurate van der Waals Correction for Density Functional Approaches in Material Simulations

    Electronic-Structure Informatics: Concept, Method, Applications, and Plausible Extension
    QCHEM LAB at KNU

    Electronic-Structure Informatics: Concept, Method, Applications, and Plausible Extension

    A Non-Hermitian Approach to the Representability Issue in Density-Matrix Embedding Theory
    QCHEM LAB at KNU

    A Non-Hermitian Approach to the Representability Issue in Density-Matrix Embedding Theory

    QE Tutorial 2022 - Design of Auxiliary Systems and Connectors for Spectroscopy
    Materials Cloud

    QE Tutorial 2022 - Design of Auxiliary Systems and Connectors for Spectroscopy

    Spectral Properties of Finite and Extended Systems Using the KCW Code - QE Tutorial 2022
    Materials Cloud

    Spectral Properties of Finite and Extended Systems Using the KCW Code - QE Tutorial 2022

    KCW: Implementation of Koopmans Functionals Based on DFPT - Advanced Quantum ESPRESSO Tutorial 2022
    Materials Cloud

    KCW: Implementation of Koopmans Functionals Based on DFPT - Advanced Quantum ESPRESSO Tutorial 2022

    QE Tutorial 2022 - Spectral Properties of Finite and Extended Systems
    Materials Cloud

    QE Tutorial 2022 - Spectral Properties of Finite and Extended Systems

    Accelerating the Calculation of Koopmans Screening Parameters Using Machine Learning
    Materials Cloud

    Accelerating the Calculation of Koopmans Screening Parameters Using Machine Learning