Active sampling-based strategies for constructing 'phase' maps using spectroscopic measurements
Create a conda environment
conda create --prefix ./location/envs/activephasemap/ python==3.11
and activate it in a command shell
conda activate activephasemap
- Install botorch (this installs majority of the packages required)
pip install botorch
- Install other common packages:
pip install matplotlib pandas openpyxl seaborn torchvision
-
Install the
apdist
package from here -
Install
activephasemap
from the repo:
pip install -e .
or directly from github:
pip install git+https://github.com/pozzo-research-group/activephasemap.git
For an application to creating a differentiable self-driving labs of gold nanoparticles, see here