materials devices and applications
van de Burgt Research Group | Eindhoven University of Technology
Organic electronic materials offer an attractive option for embedding artificial neural networks in hardware and could provide biocompatible and inexpensive neuromorphic devices with low-energy switching and excellent tunability.
Organic biocompatible materials and devices can interface with biology and as such adaptable bioelectronics can offer promising solutions for the manipulation and local processing of biological signals spanning from brain-computer-interfaces and robotics to bioinformatics
In autonomous applications such as smart robotics, where low-power and low-energy are required, dedicated devices and trainable arrays based on organic electronic materials are ideal candidates.
In a series of 2 papers published in Advanced Materials and Advanced Functional Materials, Yanxi Zhang, Eveline van Doremaele and a range of collaborators both inside TU/e and out, have demonstrated a novel NDI-based polymer Read more…
An interview with Yoeri van de Burgt and Paschalis Gkoupidenis was published in Scientific American. In this interview the paper by Imke Krauhausen in Science Advances was further discussed, as well as the future research directions of Read more…
In a collaborative effort between ICMS and Max Planck Institute, together with Stanford, Oxford and more, Imke’s work show how we can train a robot to find its way through a maze using a polymer circuit. Read more…
Yoeri has been promoted to Associate Professor at the department of Mechanical Engineering from December 1st 2021. With this new role he hopes to further strengthen his research within the department as well as leading Read more…
Yoeri was selected as a co-chair, together with Patty Stabile at Electrical Engineering, of the Focus Area Neuromorphic Computing of the newly established Hendrik Casimir Institute.
In this public lecture (in Dutch), Yoeri is explaining the basis of the research in our group where we use materials to develop devices that mimic some properties of the synapses in the brain, to Read more…