Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
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Updated
May 24, 2022 - Python
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
Thermodynamic modelling of Cu2ZnSnS4 (CZTS) phase equilibria
Tsma is a project for times series model analysis, based on a 6-month study on ABMs, in the econophysix team.
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
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