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)

Thermo phase diagrams with ease.

A simple GUI for our library phaseportrait

MPDS API client library in Python

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