KLOVE

Numerical modelling of waves on an elastic plate

• Easy to use interface --- simply define the plate and resonators.
• Calculation of phononic band diagrams --- with utilities to define the path along the edges of the Brillouin zone.
• Multiple scattering simulations --- with plane wave and point load excitation.
• Auto-diferentiable --- making optimization of wave propagation easy.

Documentation

See the website with API reference and some examples at benvial.gitlab.io/klove.

Installation

From conda/mamba

For the full installation including GPU/autodiff support

mamba install pytorch pytorch-cuda=12.1 -c pytorch -c nvidia
mamba install jaxlib=*=*cuda* jax #cuda-nvcc -c conda-forge -c nvidia
pip install klove[full]

From Pypi

Simply run

pip install klove

If you want more numerical backends (pytorch, autograd and jax), including auto-differentiation and GPU acceleration, install the full version:

pip install klove[full]

From source

Clone the repository

git clone https://gitlab.com/benvial/klove.git
cd klove

Install the package locally

pip install -e .

For the full version:

pip install -e .[full]

From gitlab

Basic:

pip install -e git+https://gitlab.com/benvial/klove.git#egg=klove

Full:

pip install -e git+https://gitlab.com/benvial/klove.git#egg=klove[full]