Organic Devices and Systems (ODS)
Here physicists, engineers, and materials scientists collaborate to explore new device paradigms and develop neural networks for artificial intelligence based on organic electrochemical transistors.
Electrochemical Transistors for Neural Networks: Organic electrochemical transistors (OECTs), thanks to their biocompatibility and operation in an electrolytic environment, are envisioned to enable next-generation bioelectronics and ionoelectronics. They have been demonstrated as artificial synapses, biosensors, and drug-releasers. In our group, we go one step further. We grow dendritic networks of OECTs and use them for machine learning. The idea aims at developing implantable and biocompatible computational platforms that can monitor real-time body fluid composition and patterns of biosignals. The random composition of the fibers combined with the machine learning approach of reservoir computing enables artificial intelligence on-chip, a potential breakthrough in healthcare and medicine.
A network of organic semiconductor material grown via electropolymerisation. The network resembles the structure of a neurons as shown on the left.
A thin-film transistor structure for gated four-point measurements.
Fundamentals of Transport in Organic Semiconductors: In Silicon technology controlled electrical doping and the manipulation of energy levels are well-established and essential for a rational design of electronic devices. In order to adopt these techniques to organic semiconductors we pioneered the concept of molecular doping and band gap engineering and investigate basic physics behind these effects. Our current focus lies on the band gap engineering and how this effect can be employed for more energy-efficient optoelectronic devices.
Rubrene crystals: We study the electronic transport properties of highly ordered organic semiconductors that can be integrated into functional devices. Our work includes the growth, doping and processing of thin-film crystals using techniques suited for industrial scale mass production. We are interested in the device physics in novel device concepts based on these ordered organic thin films.
We are constantly seeking for motivated students (Bachelor and Master), PhD Students and PostDocs to join our team. Please contact Hans Kleemann.
Topics for thesis project can be found here: thesis projects
© Kai Schmidt/IAP
Dr. Hans Kleemann
ODS group (Organic Devices and Structures)
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