Symposium SB10-Bioinspired Organic Materials and Devices for Sensing and Computing
The functions of electronics have been quickly expanding to new application areas including wearable healthcare, implantable therapeutics, brain-machine interfaces, internet-of-things, soft robotics, artificial intelligence, and self-driving cars. Along this trend, the integration of data acquisition, i.e., sensing, and data analysis, i.e., computing, is becoming more and more important. For the realization of ubiquitous sensing and intelligent computing, taking inspiration from biological systems for the creation of new operation mechanisms and the incorporation of unconventional properties can bring a wealth of benefits, such as enhanced sensitivity, higher compatibility for bio-integration, better mechanical compatibility, more efficient computing operation, reduced power consumption, the deployment of edge computing, and simplified system design. In the recent decade, this new technological trend has spurred a new research area that encompasses the development of new physics and chemistry, new electronic materials (e.g., organic semiconductors and electronic-ionic mixed conducting polymers, ionic hydrogels), new device categories (e.g., organic electrochemical transistors, artificial synaptic devices, soft devices, memory devices), new system designs, and new algorithms. This symposium aspires to bring together worldwide experts to discuss both fundamental and applied research progress in this broad field, with the topics expanding from the design of bio-inspired conductors, semiconductors, dielectrics, the development of flexible and stretchable bioelectronic devices, the creation of new biosensors, the development of brain-inspired neuromorphic computing, and the combination of artificial intelligence with bio-integrated sensing, etc.
Topics will include:
- Electronic-ionic mixed conducting polymers
- Organic electrochemical transistors
- Organic field-effect transistors
- Biosensing based on organic and polymer materials
- Flexible and stretchable polymer electronics
- Organic neuromorphic computing, artificial synaptic devices, artificial neurons
- Bioelectronic polymer devices
- Organic-material-based brain-machine interfaces
- Wearable systems
Invited Speakers:
- Fabien Alibart (University of Lille, France)
- Magnus Berggren (Linköping University, Sweden)
- Fabio Biscarini (Università di Modena, Italy)
- Ardemis Boghossian (École Polytechnique Fédérale de Lausanne, Switzerland)
- Xiaodong Chen (Nanyang Technological University, Singapore)
- Fabio Cicoira (Polytechnique Montréal, Canada)
- Antonio Facchetti (Flexterra Inc., USA)
- Toshinori Fujie (Tokyo Institute of Technology, Japan)
- Kenjiro Fukuda (RIKEN, Japan)
- Paschalis Gkoupidenis (Max Planck Institute for Polymer Research, Germany)
- Ximin He (University of California, Los Angeles, USA)
- Wei Huang (University of Electronic Science and Technology of China, China)
- Dion Khodagholy (Columbia University, USA)
- Hans Kleemann (Technische Universität Dresden, Germany)
- Tae-Woo Lee (Seoul National University, Republic of Korea)
- Karl Leo (Universität Dresden, Germany)
- Wei Lin Leong (Nanyang Technological University, Singapore)
- Takeo Miyake (Waseda University, Japan)
- Thuc-Quyen Nguyen (University of California, Santa Barbara, USA)
- Francesca Santoro (RWTH Aachen University, Germany)
- Donghee Son (Sungkyunkwan University, Republic of Korea)
- A. Alec Talin (Sandia National Laboratories, USA)
- Benjamin CK Tee (National University of Singapore, Singapore)
- Bozhi Tian (The University of Chicago, USA)
- Yoeri van de Burgt (Technische Universiteit Eindhoven, Netherlands)
- Changjin Wan (Nanjing University, China)
- Shunsuke Yamamoto (Tohoku University, Japan)
- Cunjiang Yu (The Pennsylvania State University, USA)
Symposium Organizers
Sihong Wang
The University of Chicago
Pritzker School of Molecular Engineering
USA
Simone Fabiano
Linköping University
Laboratory of Organic Electronics
Sweden
Sahika Inal
King Abdullah University of Science and Technology
Biological and Environmental Science and Engineering Division
Saudi Arabia
Naoji Matsuhisa
University of Tokyo
Institute of Industrial Science
Japan
Topics
electrical properties