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
Phase field model for precipitate aging in ternary analogues to Ni-based superalloys
Thermodynamic modelling of Cu2ZnSnS4 (CZTS) phase equilibria
A simple way to do 2D and 3D phase portraits.
Derivation and construction of a thermodynamic phase diagram for ternary alloy systems with 2 or 3 phases
MPDS API client library in Python
Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Science
Phase diagrams from the paper "Resolving New Keynesian Anomalies with Wealth in the Utility Function"
A simple GUI for our library phaseportrait
Thermodynamics powered by Machine Learning
This is the repository of the codes, data and plots used in the project. https://www.mdpi.com/1099-4300/23/3/288
Generate a pressure vs. liquid/vapor mole fraction of component A (in a binary mixture of A+B) phase diagram
Equilibrium modelling of sulfur vapours (S2 - S8)
Thermo phase diagrams with ease.
Ab-initio thermodynamic approach for the stability of SCR catalysts with different VOx structures
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.
Tsma is a project for times series model analysis, based on a 6-month study on ABMs, in the econophysix team.
Predicting nonlinear dynamics with machine learning
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