Dresden 2026 – wissenschaftliches Programm

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HL: Fachverband Halbleiterphysik

HL 2: Focus Session: Biocompatible Organic Semiconductors for Artificial Intelligence

Montag, 9. März 2026, 09:30–12:45, POT/0051

This Focus Session deals with electronic components that interface with biological systems and offer diverse possibilities in research and applications, e.g., in healthcare. Carbon-based organic semiconductors are particularly well-suited to this interface: They enable electronic devices with a broad spectrum of electronic and optoelectronic functions that are biocompatible and often even resorbable by the body. Furthermore, they are particularly well-suited for neuromorphic functions that enable local data analysis computing towards artificial and neurohybrid intelligence. Turning this vision into practice requires extensive interdisciplinary research on semiconductor materials, components, and electronic systems. This Focus Session aims to provide an overview of the current state of the art including new organic materials, devices and core applications in bioelectronic interfaces.

Organized by Karl Leo

	09:30	HL 2.1	Hauptvortrag: Intrinsically stretchable polymers and devices for biosensing applications — •Ulrike Kraft
	10:00	HL 2.2	Hauptvortrag: Complexity in Organic Mixed Ionic Electronic Conductors and its Application in Neuromorphic Computing — •Hans Kleemann
	10:30	HL 2.3	Hauptvortrag: Organic Neuromorphic Interfaces for Biohybrid Systems: Material and Structural Biomimicry of Synaptic Plasticity — •Francesca Santoro
	11:00		15 min. break
	11:15	HL 2.4	Hauptvortrag: Fully-organic flexible detectors for real-time dose monitoring during radio/proton therapy — •Beatrice Fraboni
	11:45	HL 2.5	Hauptvortrag: Organic LEDs and photodetectors for light-based diagnostics and therapy — •Caroline Murawski, Rabiul Islam, Siddhartha Saggar, and Jens P. Weber
	12:15	HL 2.6	Reservoir computing with mixed ionic-electronic conductors — •Richard Kantelberg, Hans Kleemann, and Karl Leo
	12:30	HL 2.7	Redundant information in physical reservoir computing — •Andreas Hofacker, Richard Kantelberg, Hans Kleemann, and Karl Leo