Model, simulate, and visualize discrete nonlinear dynamical systems, chaos, and fractals
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Updated
Apr 18, 2025 - Python
Model, simulate, and visualize 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
A multi-scale computational suite for macroscopic thermodynamic phase modeling and extraction evaluation
A simple GUI for our library phaseportrait
Basic info and tutorials for the GUI of the Materials Platform for Data Science (MPDS)
Python package designed to run atomistic Monte Carlo simulations.
MPDS API client library in Python
Thermo phase diagrams with ease.
Predicting nonlinear dynamics with machine learning
Thermodynamic modelling of Cu2ZnSnS4 (CZTS) phase equilibria
Julia PNJL/NJL 计算平台:相图与扫描、Mott 相变/介子质量、各向异性输运/弛豫时间、守恒荷扩散系数、介子热力学、Models 统一入口与可复现工作流。
Dynamic evolution of a topological photonic laser system, for the non-reciprocal SSH and Diamond lattice models. Nonlinear saturable gain and loss are integrated into the models such that phase diagrams are generated to display different lasing-behaviours and topological phenomena.
Equilibrium modelling of sulfur vapours (S2 - S8)
Tsma is a project for times series model analysis, based on a 6-month study on ABMs, in the econophysix team.
Generate a T vs. liquid/vapor mole fraction of component A (in a binary mixture of A+B) phase diagram
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