lpcML 0.0.9

LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells

LPC ML

LPC ML is a tool developed in the CiTIUS, USC by the MODEV group for training a multi-layer perceptron (MLP) neural network to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells.

Fig.1: GaAs-based horizontal laser power converter

Data used to feed the neural networks is shared in data/hLPC_GaAS_5W_ml.csv.

Installation

First you need to have installed pip3 on your system. For Ubuntu, open up a terminal and type:

sudo apt update
sudo apt install python3-pip

Installation of lpcML via pip3

Install the tool using pip3:

pip3 install lpcML

and check the library is installed by importing it from a python3 terminal:

import lpcML

Unless an error comes up, LPC ML is now installed on your environment.