Dr. Nabil Khossossi (NabKh)

NabKh

User data from Github https://github.com/NabKh

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Location:Delft, The Netherlands

Home Page:https://sustai-nabil.net/

GitHub:@NabKh

Twitter:@na_khossossi

Dr. Nabil Khossossi's repositories

IonHopper

A Python framework implementing Basin Hopping Monte Carlo algorithm coupled with VASP for studying ion insertion in materials.

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Quantum_Espresso_Tutorials

The tutorials below show how to compute the optimizations, electronic band structure and vibrational modes of bulk MoS2 using Quantum Espresso.

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VASP-Tools

VASP-Tools is a collection of Python scripts designed to streamline various tasks related to the Vienna Ab initio Simulation Package (VASP). These tools are intended for researchers and engineers who work with VASP for materials science simulations and require efficient and automated post-processing and analysis.

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DFT_Python-Tools

Density functional theory: Quantum Espresso & Projected Electronic Band Structure

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VASP_OpticalP

The optical properties of 2D materials with the VASP code

Basin_Hopping-QE

Basin-Hopping Monte Carlo (BHMC) algorithm coupled with density functional theory (Quantum espresso) package for unbiased global optimization of clusters and nanoparticles

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Lithium-Polysulfides

This repository contains the structure of various Lithium polysulfides molecules. The structures are provided in CIF, XSF, POSCAR-(VASP), and Quantum Espresso input formats for compatibility with different computational chemistry and materials science packages

OER-Free-Energy-GPAW

This repository contains a Python script designed to perform Density Functional Theory (DFT) calculations to obtain the Oxygen Evolution Reaction (OER) free energy. The calculations are conducted using GPAW, and ASE (Atomic Simulation Environment) is used for system design.

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SACs_HER_2024

Python scripts for Few shot machine learning model to predict HER

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VASP-Python-Stress-Tensor-Relaxation

Python script for structure optimization under a specific stress tensor using VASP

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Khossossi

Dr. N. Khossossi's academic webpage

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Vasp

Tutorials of VASP

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VASP_Tutorial

Electronic properties of materials based on the generalized gradient approximation (GGA-PBE) and hybrid exchange–correlation functional (HSE06).

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