The fast-growing field of unconventional computing integrates new materials, devices, and systems to yield new information processing paradigms, often inspired by biology. The cross fertilization with the fields of sensing, bioelectronics and robotics can yield systems capable of sensing, learning and responding to their environment. This special issue contains papers presented at the homonymous symposium organized during the 2016 European Materials Research Society Meeting in Strasbourg, France. The focus is mostly on memristive materials, devices and systems, covering aspects of composition (organic, inorganic, biological), characterization and modeling methods, and integration with sensors and actuators. We hope you will enjoy reading this issue.

Preface to Special Topic: Adaptive Materials, Devices and Systems towards Unconventional Computing, Sensing, Bioelectronics and Robotics

Salvatore Iannotta;
2016

Abstract

The fast-growing field of unconventional computing integrates new materials, devices, and systems to yield new information processing paradigms, often inspired by biology. The cross fertilization with the fields of sensing, bioelectronics and robotics can yield systems capable of sensing, learning and responding to their environment. This special issue contains papers presented at the homonymous symposium organized during the 2016 European Materials Research Society Meeting in Strasbourg, France. The focus is mostly on memristive materials, devices and systems, covering aspects of composition (organic, inorganic, biological), characterization and modeling methods, and integration with sensors and actuators. We hope you will enjoy reading this issue.
2016
Istituto dei Materiali per l'Elettronica ed il Magnetismo - IMEM
SENSING
BIO-ELECTRONICS
ROBOTICS
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/317795
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