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Name: Marco Fronzi
Type: User
Name: Marco Fronzi
Type: User
An automatic engine for predicting materials properties.
A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.
Preliminary investigation of machine learning techniques to perform parameters estimation for different crystal structure: hexagonal, monoclinic, orthorhombic, tetragonal, triclinic, trigonal.
Final Project repository for Fall 2017 CS 207, Group 4
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
ElATools: A tool for analyzing anisotropic elastic properties of the 2D and 3D materials
An open source python library for equilibrium calculation based on global minimization of Gibbs free energy.
Machine learning models for screening metal hydride thermodynamics
Create Inverse Hull Webs of materials systems
Querying databases, Organizing and Plotting Data: Query Pymatgen for properties like Young's modulus and melting temperature Organize data into Pandas dataframes and python dictionaries and plot using Plotly Linear Regression to predict material properties: Performed linear regression using the scikit learn package and predict Young's modulus Visua
Data mining for materials science
Tutorials for the "machine learning for computational materials science" course of the PISACMS summer school.
Codes for performing numerical calculations to study the diamond nv-center quantum system
Source code and data for "Statistical Inference with Quantum Measurements: Methodologies for Nitrogen Vacancy Centers in Diamond"
Modeling nitrogen-vacancy centers in diamond
Bayesian Neural Networks (Dropout)
Combining Psi4 and Numpy for education and development.
1D density functional theory code in Python
Plug-in for ChimeraX providing features for building and manipulating organic and organometallic molecules as well as displaying output from quantum chemistry computations.
Data-driven risk-conscious thermoelectric materials discovery
Extracts full elastic tensor from VASP OUTCAR and calculates some useful quantities
Toolkit for visualizing phase stability and defects diagrams from DFT calculations of multicomponent materials.
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.