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This means that for a grid containing a source with For stability reasons, it is recommended toĬhoose a grid spacing that is at least 10 times smaller than the smallest Internally, these numbers will be translated to three integers:Ī grid_spacing can be given. If the shape is given in integers, itĭenotes the width, height and length of the grid in terms of the If the shape is given in floats, it denotes the width, Grid ( shape : Tuple, grid_spacing : float = 155e-9, permittivity : float = 1.0, permeability : float = 1.0, courant_number : float = None, )Ī grid is defined by its shape, which is just a 3D tuple of Number-types The FDTD grid defines the simulation region. The "cuda" backends are only available for computers with a GPU. Preferred over "float32" for FDTD simulations, however, "float32" might In general, "float64" precision is always In general, the "numpy" backend is preferred for standard CPU calculations
Fdtd vs fem how to#
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The development version can be installed by cloning the repository git clone Īnd linking it with pip pip install -e fdtdĭevelopment dependencies can be installed with pip install -e fdtdĪll improvements or additions (for example new objects, sources or detectors) are The fdtd-library can be installed with pip: pip install fdtd The FDTD simulator hasĪn optional PyTorch backend, enabling FDTD simulations on a GPU. A 3D electromagnetic FDTD simulator written in Python.