Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Curated list of known efforts in materials informatics, i.e. in modern materials science

A simple way to do 2D and 3D phase portraits.

Phase field model for precipitate aging in ternary analogues to Ni-based superalloys

Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Science

Derivation and construction of a thermodynamic phase diagram for ternary alloy systems with 2 or 3 phases

Thermodynamics powered by Machine Learning

Basic info and tutorials for the GUI of the Materials Platform for Data Science (MPDS)

MPDS API client library in Python

Thermo phase diagrams with ease.

A simple GUI for our library phaseportrait

Predicting nonlinear dynamics with machine learning

Tsma is a project for times series model analysis, based on a 6-month study on ABMs, in the econophysix team.

Thermodynamic modelling of Cu2ZnSnS4 (CZTS) phase equilibria

Equilibrium modelling of sulfur vapours (S2 - S8)

Generate a T vs. liquid/vapor mole fraction of component A (in a binary mixture of A+B) phase diagram

Molecular Dynamics (Lennard Jones) visualizer using Streamlit.

Ab-initio thermodynamic approach for the stability of SCR catalysts with different VOx structures

Static and animated distillation phase diagrams for chemistry education

Generate a pressure vs. liquid/vapor mole fraction of component A (in a binary mixture of A+B) phase diagram