Organic neuromorphic materials as building blocks for next generation computing and 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.
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November 20, 2023
'With a healthy dose of open-mindedness, you can go a very long way'
‘The Faces of Challenge-Based Learning’ series: alumnus Bas Verkaik, founder of TU/e spin-off ELEO Technologies. In his student days, he traveled the world on...
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November 14, 2023
METRAMAT program will pave the way to widespread manufacturing and application of metamaterials in European industry
TU/e researcher Varvara Kouznetsova coordinates European funded Marie Skłodowska-Curie program that’s now hiring for 10 PhD positions in metamaterial...
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More news
In memoriam | Nick Rosielle
November 12, 2023
AI with a human touch: regulation for co-creation
November 6, 2023
Six TU/e researchers appointed fellows of the new Netherlands Academy of Engineering
November 2, 2023
Model Predictive Pandemic Control project granted by ZonMW
October 30, 2023
Meet some of our Researchers
Contact
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Visiting address
Bastiaan ElbertsGemini-Zuid, 3.126Groene Loper 35612 AE EindhovenNetherlandszpostma@ live.nl -
Visiting address
Nathan Brisee MEline Koç BscBechtsteeg8231JL Rijswijk (GLD)Netherlandsoesajas@ vanbreukeleveen.org -
Postal address
Mike CorneliszDepartment of Mechanical EngineeringP.O. Box 5135600 MB EindhovenNetherlandsthijmen43@ vanbreukeleveen.net -
Postal address
ds. Fabian Olthof ADLara Bakkerde Grootpad6019CW Een-WestNetherlandssofia.janszmuskustepasque@ live.nl -
TeamleadAngelina von Heinrich d'OmóróviczaHendriksboulevard8226HJ VinkenbuurtY.B.v.d.Burgt@ tue.nl
Recent Publications
Our most recent peer reviewed publications
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A retrainable neuromorphic biosensor for on-chip learning and classification
Nature Electronics (2023) -
Electrical and Optical Modulation of a PEDOT:PSS-Based Electrochemical Transistor for Multiple Neurotransmitter-Mediated Artificial Synapses
Advanced Materials Technologies (2023) -
Muscle magnetic resonance characterization of STIM1 tubular aggregate myopathy using unsupervised learning
PLoS ONE (2023) -
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning
Frontiers in Bioinformatics (2023) -
Polydopamine-Based All Solid-State Flexible Organic Neuromorphic Devices for Access Device-Free Artificial Neural Networks
Advanced Electronic Materials (2023)