April 10 - 14, 2023
San Francisco, California
2023 MRS Spring Meeting

Symposium EL13-Organic Materials and Devices for Neuronal/Neuromorphic Processing, Adaptive Sensing and Actuation

It is becoming well-known that traditional biosensors are unable to capture the efficiency and adaptive mechanisms typical of the majority of biological processes. Effectively, in situ processing and computation are required to capture the variability of biological phenomena of interest as well as having devices that can mechanically conform to the target biological host. Thus, a new era of smart sensor and actuation applications is emerging with systems that perceive and interact with the world and efficiently couple with biological environments. Allowing actual biological substrates to compute is an even longer-term approach to directly harness the biological level of computational efficiency. However, this approach requires materials, devices and systems that would be able to interface biology in a smart and dynamic way beyond signal acquisition. In this scenario, organic materials and neuronal-inspired electronics are the first building blocks towards efficient new systems that are able to analyze, interpret, perceive and act upon a dynamic, real-world environment. In this symposium, the latest advancements of organic materials for bio-inspired information processing and bio-computation will be covered, next to next-generation wearables devices. Emerging applications will be showcased in neuromorphic computing, sensing, actuation and bio-interfacing. This symposium aspires to bring together world-wide experts in the fields of neuromorphic computing, bioelectronics/sensing and neuroscience in order to enhance transdisciplinary interactions and thus bridge the gaps between materials science, computing and neuroscience by initiating a dialogue around the proposed emerging topic.


Topics will include:

  • Bio-inspired information processing
  • Neuromorphic computing
  • Organic materials for neuromorphic devices
  • Neuromorphic sensing and actuation
  • Adaptive bio-interfacing
  • Neural interface devices
  • Bioelectronics and smart wearable devices
  • Algorithmic advances for neuro-inspired computing and smart sensing

Invited Speakers:

  • Magnus Berggren (Linköping University, Sweden)
  • Fabio Biscarini (Istituto Italiano di Tecnologia, Italy)
  • Bianxiao Cui (Stanford University, USA)
  • Simone Fabiano (Linköping University, Sweden)
  • Tae-Woo Lee (Seoul National University, Republic of Korea)
  • Andreas Offenhaeusser (Forschungszentrum Jülich GmbH, Germany)
  • Jan Rabaey (University of California, Berkeley, USA)
  • Jonathan Rivnay (Northwestern University, USA)
  • Alberto Salleo (Stanford University, USA)
  • Donghee Son (Sungkyunkwan University, Republic of Korea)
  • Molly Stevens (Imperial College London, United Kingdom)
  • Benjamin Tee (National University of Singapore, Singapore)
  • Dominique Vuillaume (nstitut d’Electronique, de Microélectronique et de Nanotechnologie, France)
  • Chen Xiaodong (Nanyang Technological University, Singapore)
  • Joshua Yang (University of Southern California, USA)
  • Myung-Han Yoon (Gwangju Institute of Science and Technology, Republic of Korea)

Symposium Organizers

Francesca Santoro

Forschungszentrum Jülich GmbH

Germany

Ana Claudia Arias
University of California, Berkeley
Department of Electrical Engineering and Computer Sciences
USA

Paschalis Gkoupidenis
Max Planck Institute for Polymer Research
Molecular Electronics
Germany

Yoeri van de Burgt
Technische Universiteit Eindhoven
Institute for Complex Molecular Systems
Netherlands

Topics

artificial intelligence bioelectronic biomaterial biomimetic machine learning memory organic polymer sensor