aayus-sharma Goto Github PK
Name: aayush sharma
Type: User
Company: Sandvik Coromant
Bio: Sr. R&D Engineer Modeling & Simulation Group Sandvik Coromant
Location: Stockholm
Name: aayush sharma
Type: User
Company: Sandvik Coromant
Bio: Sr. R&D Engineer Modeling & Simulation Group Sandvik Coromant
Location: Stockholm
The official repository for the AiiDA code
Code containing the AiiDA-KKR plugins and some workflows for the juDFT KKR codes.
LAMMPS plugin for AiiDA
atomate is a powerful software for computational materials science and contains pre-built workflows.
Atomistic simulation hands on tutorial on Matlantis
Atomsk: A Tool For Manipulating And Converting Atomic Data Files -
:seedling: a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is Not Maintained Anymore]
Image captioning using deep neural networks
Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
ELATE: Elastic tensor analysis
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
Hybrid CS for ultrafast global optimization in materials science and other diverse fields. And, Hybrid CS SCRAPs is a Multinary Solid-Solution Alloy Structure Design Tool
Kanapy is a python package for generating three-dimensional synthetic polycrystals based on characteristic microstructural features.
Public development project of the LAMMPS MD software package
Lammps wrapper with cython interface. High performance, MPI, and interactive.
Collection of regression tests for LAMMPS MD code
LAMMPS tutorials for Beginners
Software to calculate magnetostriction coefficients and magnetoelastic constants
🧮 A collection of resources to learn mathematics for machine learning
Data mining for materials science
Materials science with Python at the atomic-scale
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Multiple Scattering Theory code for first principles calculations
Publication-ready NN-architecture schematics.
PRISMS-PF: An Open-Source Phase-Field Modeling Framework
PRISMS Crystal Plasticity and Continuum Plasticity FEM code
Webpage for RANN interatomic potential
pyiron - an integrated development environment (IDE) for computational materials science.
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.