wangsc1912 / rc_pndi

[Nature Communication 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning"

Home Page:https://www.nature.com/articles/s41467-023-36205-9

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Reservior computing simulation for p-NDI

Codes for "Wearable In-Sensor Reservoir Computing Using Optoelectronic Polymers with Through-Space Charge-Transport Characteristics for Multi-Task Learning." (Accepted to Nature Communications).

Environment

The code is tested on Ubuntu 20.04, python 3.7. The following packages are required:

torch==1.9.0
numpy==1.19.5
h5py==2.10.0
pandas==1.2.3

Dataset

The dataset used for multi-task learning can be downloaded automatically in this code.

About

[Nature Communication 2023] "Wearable in-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning"

https://www.nature.com/articles/s41467-023-36205-9


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Language:Jupyter Notebook 80.3%Language:Python 19.7%