Search Results for "python finite element"
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Showing 20 open source projects for "python finite element"
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PhiPsi
An eXtended Finite Element Method (XFEM) Software.
PhiPsi is a 2D and 3D computational solid mechanics program, which involves the extended finite element method (XFEM), as well as the finite element method (FEM). PhiPsi is written in Fortran and compiled using the GNU Fortran compiler (gfortran). PPView is a visualization tool for PhiPsi. PPView can be used to import Abaqus inp file, view the model defined in the PhiPsi keywords file (*.kpp), edit PhiPsi keywords file, perform a PhiPsi simulation, and view the simulation result files generated by PhiPsi. ... -
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OpenNum
OpenNum lets you distribute solvers with a nice graphical interface
...It also has other useful utilities specifically designed for numerical simulation packages: · it allows managing a centralized materials dataset; · it can read several finite element mesh formats and several field formats. -
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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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APBS
Biomolecular electrostatics software
This software has moved to http://www.poissonboltzmann.org/. -
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CBMPy
PySCeS Constraint Based Modelling
PySCeS CBMPy is a new platform for constraint based modelling and analysis. It has been designed using principles developed in the PySCeS simulation software project: usability, flexibility and accessibility. CBMPy supports the latest standards for encoding CBM models encoding, SBML L3 FBC, COBRA as well as MIRIAM compliant RDF and custom annotations. Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently... -
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Finite Element Method Magnetics
Finite element analysis of electromagnetic devices
Solves low frequency magnetic, electrostatic, heat flow, and current flow problems on 2D and axisymmetric domains via the finite element method. -
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2D Structural Analysis
Determine the bending moments, shear forces, axial forces and displace
2D Structural Analysis in Python by Ritchie Vink A collection examples of 2D Finite Element Analysis (FEA) made with Jupyter Notebook Lab - https://jupyter.org/ To install Jupyter - https://jupyter.org/install ===== App is available on Play Store -> https://play.google.com/store/apps/details?id=com.ulm.struct If you want to download a python editor for your android smartphone follow this link -> https://play.google.com/store/apps/details? -
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Virtual Laboratory Environment
A multi-modeling and simulation environment to study complex systems
...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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NGSolve is a general purpose Finite Element Library on top of Netgen. With the basic library one can solve heat flow equations, Maxwell equations, and solid mechanical problems. Several add-ons are available for particular application classes. New paper: J. Schöberl: "C++11 Implementation of Finite Elements in NGSolve", ASC Report 30/2014, Institute for Analysis and Scientific Computing, Vienna University of Technology, 2014 http://www.asc.tuwien.ac.at/~schoeberl/wiki/publications/ngs-cpp11.pdf
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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GMES
GMES is a free Python package for FDTD electromagnetic simulations.
GMES is a free finite-difference time-domain (FDTD) simulation Python package developed at GIST to model photonic devices. Its features include simulation in 1D, 2D, and 3D Cartesian coordinates, distributed memory parallelism on any system supporting the MPI standard, portable to any Unix-like system, variuos dispersive ε(ω) models, CPML absorbing boundaries and/or Bloch-periodic boundary conditions, and arbitrary material and source distributions. -
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Template Code Set for JModelica
This is a template Python code set to use JModelica easily.
This is a template Python code set which makes it easy to use JModelica to solve optimal control problem. The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details. -
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KEMP
A FDTD solver for electromagnetic wave simulations on a GPU cluster
KEMP is a fast FDTD solver on a GPU-based cluster. The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language. -
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Advanced Numerical Instruments 2D
Advanced numerical instruments: adaptive meshing, FE methods, solvers
Ani2D provides portable libraries for each step in the numerical solution of systems of PDEs with variable tensorial coefficients: (1) unstructured adaptive mesh generation, (2) metric-based mesh adaptation, (3) finite element discretization and interpolation, (4) algebraic solvers. -
14
OpenCMISS-Zinc
A Library for Interactive Modelling and Visualisation
The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image... -
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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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This project aims to provide libraries in a few languages which allow for NORAD general perturbation element sets to be used in calculating the position and velocity of space objects.
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Cellogica is a cellular logic analysis tool. It incorporates sequential logic and finite state machine to elucidate the relationship between transcription factors and corresponding gene expression.
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FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
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Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.
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