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Name: Gang Tang
Type: User
Company: Beijing Institute of Technology
Bio: Associate Professor at Beijing Institute of Technology ([email protected]).
Twitter: GangTang7
Location: Beijing, China
Name: Gang Tang
Type: User
Company: Beijing Institute of Technology
Bio: Associate Professor at Beijing Institute of Technology ([email protected]).
Twitter: GangTang7
Location: Beijing, China
Unfolding the band structure of a supercell obtained with VASP
a program to plot forces on ions in VASP
The FPTE package is a collection of tools for finite pressure temperature elastic constants calculation. Features include, but are not limited to stress-strain method for getting second order elastic tensors using DFT package VASP as well as, ab initio molecular dynamic method for temperature dependent elastic constatns. The package is free and open-source, available on Github.
Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.
A grain boundary generation code
Generate Special Quasirandom Structures using ATAT framework.
A code to filter out further the k-dependent COHP based on a given pair of orbitals to be plotted.
Nearest neighbor tight-binding estimation of band structures of bulk and nano-ribbon (Armchair and Zigzag) graphene.
Calculate thermal expansion by using gruneisen formula, based on VASP and Phonopy.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Script to determine the maximum achievable open circuit voltage of your solar cell from the real optical response of the device by evaluating your external quantum efficiency data. In addition, it calculates the non-radiative voltage losses and the corresponding external luminescence quantum efficiency.
Tools to organize, plot and extract information from VASP files for surface catalysis
Grain Boundary Database
Notes, scripts and excercises to conducted studies at Wroclaw University of Technology in winter 2019/2020
Course of Introduction to Python for Data Sciences developed at Univ. Grenoble Alpes.
Introduction to classical Monte Carlo methods
A Python Library for Reading, Writing, and Converting Computational Chemistry File Formats
to compute Irreducible Representations of electronic states in Vienna ab-initio Simulation Package (irvsp) -------------------- Please cite arXiv:2002.04032 when you use any code in this repository.
Over 200 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio
Joint Automated Repository for Various Integrated Simulations (JARVIS) is an integrated framework for computational science using density functional theory, classical force-field/molecular dynamics and machine-learning.
jexchange calculates exchange interactions among magnetic sites within the Heisenberg model.
Anharmonic Lattice Dynamics
Kubo-Greenwood for transport properties from First Principle Molecular Dynamics with VASP
KPROJ: A Band Unfolding Program
A relaxed kp model of twisted bilayer graphene
Calculate the real part of the dielectric function from the imaginary part for vasp users
LaTeX/Python code for maintaining my CV; integrates with website code (see rkurchin.github.io repo)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.