Research Output per year
Introduction / mission
In our group we focus on organic electronic materials for embedding artificial neural networks in hardware, to provide biocompatible and inexpensive neuromorphic devices for adaptable bioelectronics and smart biosensors.
Organic neuromorphic materials as a building block for next generation low-energy computing and brain-inspired smart lab-on-a-chips
Part of the Microsystems section in the engineering department, our multidisciplinary research group spans materials science, bioelectronics, electrical engineering and device physics. We focus on organic electronic and neuromorphic materials, with specific applications in adaptable bioelectronics, sensors and brain-inspired smart point-of-care diagnostic devices.
Electrolyte-gated transistors for synaptic electronics, neuromorphic computing, and adaptable biointerfacingLing, H., Koutsouras, D. A., Kazemzadeh, S., van de Burgt, Y. B., Yan, F. & Gkoupidenis, P., 1 Mar 2020, In : Applied Physics Reviews. 7, 1, 22 p., 011307.
Research output: Contribution to journal › Review article › Academic › peer-review
Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review
Fast influence function measurement technique using the direct and in-direct piezoelectric effect for accurate and dynamic surface shape control in adaptive systemsMuganda, J., Jansen, B., Homburg, E., van de Burgt, Y. & den Toonder, J., 2019, 10 p.
Research output: Working paper › Academic
Activities per year