Search Results for "differential equation python"
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Showing 29 open source projects for "differential equation python"
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GenX
X-Ray and Neutron Reflectivity Modeling
GenX is a scientific program to refine x-ray refelcetivity, neutron reflectivity and surface x-ray diffraction data using the differential evolution algorithm. GenX is very modular and highly extensible and can be used as a general fitting program. -
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Zgoubi is a raytracing code. Since 1972 it pushes charged particles through accelerators and beam lines, by stepwise solution of Lorentz force equation - and their spins via Thomas-BMT differential equation. Zgoubi simulates beam dynamics and polarization in a variety of accelerators (storage ring, synchrotron, cyclotron, betatron, microtron, FFAG, multi-pass ERL, etc) and optical systems (beam lines, magnetic and electrostatic optical components, time-of-flight and mass spectrometers, etc). ...
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GNNPCSAFT Chat
Chatbot with GNNPCSAFT
The GNNPCSAFT Chat is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, you can chat with LLM models (Gemini or Ollama) with GNNPCSAFT tools, allowing you to ask questions about the PC-SAFT parameters of various compounds, predict thermodynamic properties, and get insights into the... -
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DAE Tools Project
Object-oriented equation-based modelling and optimisation software
DAE Tools is a cross-platform equation-based object-oriented modelling, simulation and optimisation software. It is not a modelling language nor a collection of numerical libraries but rather a higher level structure – an architectural design of interdependent software components providing an API for: - Model development/specification - Activities on developed models, such as simulation, optimisation, sensitivity analysis and parameter estimation - Processing of the results, such as... -
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Computational electromagnetics software. Uses surface Method of Moments, enhanced by using the Multilevel Fast Multipole Method. Code is parallelized and runs on laptops, desktops and clusters. The code precision is adjustable, it is fast and uses little memory. CFIE is used for closed surfaces, and EFIE for open PEC surfaces. Can function on GMSH, GiD and ANSYS meshes.
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GNNPCSAFT Web App
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. More info on github repository. -
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GNNPCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT app is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily. In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive. To install the GNNPCSAFT app, download the... -
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FEATool Multiphysics - FEA & CFD Toolbox
FEATool Multiphysics is an easy-to-use FEA and CFD Simulation Toolbox
FEATool Multiphysics (https://www.featool.com) is a fully integrated toolbox for computer aided engineering CAE, finite element analysis & fluid dynamics simulations. With a very easy-to-use GUI, anyone is now able to quickly set up and perform large scale dynamical and complex engineering physics simulations, with coupled fluid flow, heat transfer, structural mechanics, chemical transport, and electromagnetics effects, without having to learn complex programming. In addition to... -
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Python/FEniCS Examples
phase-field simulation and other examples with Python/FEniCS
The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model. -
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C++QED
A framework for simulating open quantum dynamics
C++QED is an application-programming framework for simulating open quantum dynamics in general. It has demonstrated the ability to simulate full Master equation of up to several thousand, and quantum trajectories of up to several hundred thousand dimensions. The basic idea is to allow users to build arbitrarily complex interacting quantum systems out of free subsystems and interactions (elements), and simulate their time evolution with a number of available time-evolution... -
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
...VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages. -
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RAtom
solves nonlinear Kohn-Sham equation for the neutral atom.
RAtom solves nonlinear Kohn-Sham equation for the neutral atom. The adaptive algorithm based on finite element method (FEM) is implemented. Discretization of the differential eigenvalue problem is done by finite element method with Lobatto polynomials as a basis functions. High order Gauss quadratures are applied in order to obtain the total energy of atom with absolut accuracy of 1E-6 hartree. -
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DEVSIM
TCAD Device Simulator
TCAD Device Simulator. DEVSIM is a semiconductor device simulation software, using the finite volume method. This software solves partial differential equations on a mesh. The Python interface allows the user to specify their own equations. -
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Travel Market Simulator
Travel Market Simulator
That project aims at studying the impact of IT systems interactions on traveller demand and airline revenues. Passenger demand is generated (Monte Carlo) and injected into simulated CRS and airline IT systems. Differential analysis is then performed on various changes compared to a bottom line scenario. -
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XNDiff
X-ray and Neutron powder pattern simulation analysis
Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters -
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SunlightDPD
Open source codes related to dissipative particle dynamics
SunlightDPD provides a home for open source codes related to the dissipative particle dynamics (DPD) simulation method. Currently the file release contains the HNC integral equation code. -
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abc-sde
approximate Bayesian computation for stochastic differential equations
A MATLAB toolbox for approximate Bayesian computation (ABC) in stochastic differential equation models. It performs approximate Bayesian computation for stochastic models having latent dynamics defined by stochastic differential equations (SDEs) and not limited to the "state-space" modelling framework. Both one- and multi-dimensional SDE systems are supported and partially observed systems are easily accommodated. -
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A language and a compiler for the solution of differential equations (ODE). Both lumped and distributed variables (PDE) will be possible. The ability to solve DAEs is a long term goal. The compiler generates a Python program that does the computation.
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Differential-algebraic simulator in python. Process and control systems are modelled w/ bloc diagrams. It allows algebraic loops, has an automatic steady-state computation, detects singular systems, and uses variable time-step transient integration.
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Sempy is a Python package for the solution of partial differential equations using the spectral element method.
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Charybdis is a Python-driven set of applications for solving partial differential equations on irregular domains.
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This is a set of Python classes that can be used to simulate dynamic multi-body systems. It used to be a project for studies. Now it is not being worked on anymore, but it is completely GPLized.
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LaserFoam performs simulations of laser pulses using an adaptive split step Fourier method to solve the generalized nonlinear Schrödinger equation. It provides a graphical environment to run and visualize the results.
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Plouf is a set of algorithms that solve partial differential equations on sets of connected points. Emphasis is on fluid mechanics and plasma flows.
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A 3D robots simulator written in python. Uses ODE physics and OpenGL/Inventor graphics. A differential wheels robot is provided. There is no user interface but the code is small and is intended to be easily extended for your simulations.
