Digital circuits and neural networks based on acid-base chemistry implemented by robotic fluid handling

The complementarity of acids and bases is a fundamental chemical concept. Here, the authors use simple acid-base chemistry to encode binary information and perform information processing including digital circuits and neural networks using robotic fluid handling.

Bibliographic Details
Main Authors: Ahmed A. Agiza, Kady Oakley, Jacob K. Rosenstein, Brenda M. Rubenstein, Eunsuk Kim, Marc Riedel, Sherief Reda
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-023-36206-8