The rapid rise of artificial intelligence (AI) is driving demand for more efficient and adaptive computing systems, particularly as traditional silicon-based hardware struggles to meet the energy and scalability challenges of modern AI. Neuromorphic computing, inspired by the brain, offers a promising solution, providing energy efficiency and adaptability.
Organic materials, with their flexibility, biocompatibility, and low power consumption, are emerging as candidates for developing Neuromorphic Organic Devices (NODs) that mimic synaptic functions like learning and memory. These materials are particularly suited for applications in bioelectronics and wearable systems, where silicon-based devices face limitations.
Despite their promise, organic materials face challenges such as lower carrier mobility, stability issues, and environmental sensitivity. However, advancements in material science are improving their performance and scalability, making them increasingly viable for neuromorphic computing. As interest in these materials grows, interdisciplinary research is addressing their potential and challenges, underscoring the need for forums to explore their role in advancing next-generation AI hardware.
Fabien Alibart (Centre National de la Recherche Scientifique, France)
Olivier Bardagot (Centre National de la Recherche Scientifique, France)
Fabio Biscarini (Italian Institute of Technology, Italy)
Simone Fabiano (Linköping University, Sweden)
Paschalis Gkoupidenis (North Carolina State University, USA)
Amir Handelman (Holon Institute of Technology, Israel)
Hans Kleemann (Technical University of Dresden, Germany)
Laurie Calvet (Centre National de la Recherche Scientifique, France)
Giovanni Ligorio (Humboldt-Universität of Berlin, Germany)
Emil List-Kratochvil (Humboldt-Universität of Berlin, Germany)
Francesca Santoro (Jülich Research Center, Germany)
Gaia Tomasello (Wiley Publishing Group)
Yoeri van de Burgt (Eindhoven University of Technology, The Netherlands)
We are delighted to invite you to the 2025 Neuromorphic Organic Devices (NOD) Workshop, taking place from October 8–10 in Berlin, Germany. This fifth edition in the NOD Workshop series continues the tradition of fostering vibrant discussions and presenting groundbreaking research in the field of neuromorphic organic devices.
The NOD Workshop series began in 2019, initiated by Prof. Fabio Biscarini in Ferrara, Italy, with the goal of uniting researchers and experts in this interdisciplinary field. The inaugural event laid a strong foundation by featuring key contributions to device applications and biosensing, particularly in interfacing with biological systems.
Building on this success, the second edition, held in 2022 in Chania, Greece, under the leadership of Prof. Paschalis Gkoupidenis, shifted focus toward the development and fabrication of neuromorphic devices. This edition highlighted the role of organic materials and showcased advancements in material science.
In 2023, the third workshop, led by Dr. Hans Kleemann in Bad Schandau, Germany, emphasized theoretical modeling and simulation of neuromorphic devices. Sponsored by Advanced Electronic Materials, the event presented a special collection of impactful works, further solidifying the workshop’s reputation.
The most recent edition in 2024, organized by Dr. Laurie Calvet in Paris, expanded discussions to advanced applications and systems integration. Key themes included organic neuromorphic hardware, biosensors, and computational models, reflecting the field's growing impact on neuromorphic computing.
The 2025 edition in Berlin seeks to build on this foundation, offering a platform for groundbreaking research, interdisciplinary collaboration, and innovative discussions. We look forward to welcoming you to this exciting event!
This website is currently under construction, but we’re excited to bring you updates and detailed information soon.
Please stay tuned for announcements, program details, and more about the NOD Workshop 2025 in Berlin.
Thank you for your patience, and we look forward to connecting with you!