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Name: Logan Ward
Type: User
Company: Argonne National Laboratory, @globus-labs
Bio: - Computational Materials Scientist - AI Researcher and Educator - Boardgame Enthusiast
Twitter: WardLT2
Location: Atlanta, GA
Name: Logan Ward
Type: User
Company: Argonne National Laboratory, @globus-labs
Bio: - Computational Materials Scientist - AI Researcher and Educator - Boardgame Enthusiast
Twitter: WardLT2
Location: Atlanta, GA
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Data analytics for molecular solids melting points
A minimal message-passing neural network for molecular properties
Using machine learning to predict new quaternary Heusler materials
A minimal example for running molecular DQNs
Analysis of the predictions made by a deep learning model trained on the OQMD
Parsl - Parallel Scripting Library
Tools for converting from DFT codes into PIF objects
Pipeline prototyping
A Bot to assist playing RPGs on Discord
Python Lazy Object Proxy Interface for Distributed Stores
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
Python toolkit for working with PIFs
:small_red_triangle: Ternary plotting library for python with matplotlib
2D and 3D Voronoi tessellations: a python entry point for the voro++ library
Qball (also known as qb@ll) is a first-principles molecular dynamics code that is used to compute the electronic structure of atoms, molecules, solids, and liquids within the Density Functional Theory (DFT) formalism. It is a fork of the Qbox code by Francois Gygi.
Quantum chemistry program executor and IO standardizer (QCSchema).
QML: Quantum Machine Learning
A suite of computational materials science tools.
SchNetPack - Deep Neural Networks for Atomistic Systems
scikit-learn: machine learning in Python
Scripts from a paper on discovering ternary semiconductors with machine learning and crystal structure prediction
Toolbox is a collection of the Materials Data Facility tools and utilities.
Scripts for replicating a paper on predicting the properties of materials with machine learning
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.