Adaptive Biosensing and Neuromorphic Classification Based on an Ambipolar Organic Mixed Ionic–Electronic Conductor-Reference-Cited by-同舟云学术

Adaptive Biosensing and Neuromorphic Classification Based on an Ambipolar Organic Mixed Ionic–Electronic Conductor

Published:2022-04-17 Issue:20 Volume:34 Page:2200393
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Advanced Materials

Author:

Zhang Yanxi¹^ORCID,van Doremaele Eveline R. W.¹^ORCID,Ye Gang²³,Stevens Tim¹,Song Jun²,Chiechi Ryan C.³⁴,van de Burgt Yoeri¹^ORCID

Affiliation:

1. Microsystems Department of Mechanical Engineering and Institute for Complex Molecular Systems Eindhoven University of Technology Eindhoven MB 5600 The Netherlands

2. Center for Biomedical Optics and Photonics (CBOP) & College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems Shenzhen University Shenzhen 518060 P. R. China

3. Stratingh Institute for Chemistry University of Groningen 9747 AG Groningen The Netherlands

4. Department of Chemistry North Carolina State University Raleigh NC 27695 USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.202200393

Reference40 articles.

1. In vivo recordings of brain activity using organic transistors