Jump to main content
Center for Micro and Nano Technologies
Molecular Nanosystems
Center for Micro and Nano Technologies 

We are an interdisciplinary team of physicists, chemists, engineers and nanotechnologists developing approaches for single molecule sensing. Our research focuses in particular on single-molecule biosensing using nano-plasmonic and nanophotonic approaches for monitoring in the environment, industrial processes and healthcare. In the field of molecular electronics, we use various methods of micro- and nanotechnology as well as molecular and colloidal self-organization to realize them. We are exploring the transport properties of novel molecular architectures on various semiconductor and metal oxide surfaces and in nanoscale contact geometries.

Research Topics

  • Molecular based electronics – Alternative Computing Technologies – „beyond CMOS“ (Molecular logic; Network-based BioComputing)
  • Molecular based Bio-Sensing Systems and Functional Surfaces

Dr. Christoph R. Meinecke

Research Field Leader
+49 371 531-32748

Recent Publications

Rhymend, E.C.V.; Meinecke, C. R., et al. “ Practically Error-Free Junctions Enable Solving Large Instances of Exact Cover Problems Using Network-Based Biocomputation.” Small (2026): e75307. https://doi.org/10.1002/smll.75307

Janßen, M.; Murkina, A. D.; Hann, J.; Klös, G.; Moebius, M.; Meinecke, C. R., et al. „A Methodology for Validation of DNA Origami–Quantum Dot Hybridization“. Appl. Nano (2025), 6, 30. https://doi.org/10.3390/applnano6040030

Manoharan, G.; Hann, J.; Selyshchev, O.; Meinecke, C. R., et al. “ FluidFM Deposition of Semiconductor Quantum Dots From Aqueous Dispersions.” Nano Select 6, no. 11 (2025): e70011. https://doi.org/10.1002/nano.70011

Monakhov, K.; Meinecke, C. R., et al. „Molecular approach to semiconductors: a shift towards ecofriendly manufacturing and neuroinspired interfaces.” Pure and Applied Chemistry, 96(9), 1313-1331. https://doi.org/10.1515/pac-2024-0242

Meinecke, C. R. et al. „Nanolithographic Fabrication Technologies for Network-Based Biocomputation Devices.“ Materials (2023), 16, 1046. https://doi.org/10.3390/ma16031046