NC-AFM 2026 is the 27th of a series of conferences devoted to non-contact atomic force microscopy. The event will take place from August 3 to 7, 2026, in Innsbruck, Austria.
The conference covers experimental, theoretical, and instrumental developments in frequency modulation and other dynamic modes of scanning force microscopy with particular emphasis on high-resolution imaging and force mapping.
If you are attending NC-AFM 2026, we invite you to meet with our colleagues:
- Dr. Rajan Adhikari – Staff Scientist, Schaefer Scientific
- Dr. Steffen Porthun – Senior Staff Scientist, RHK Technology
They will be available throughout the conference to discuss recent developments in UHV scanning probe microscopy (SPM), including:
- Recent advances in the hardware and software architecture of the RHK R10 SPM controller
- A conference poster (click here to download the poster) highlighting the advanced capabilities of the R10 controller
- Updates on PanScan freedom II (5K, 7T) and Beetle AFM/STM systems
Our colleagues look forward to meeting principal investigators(PIs), scientists, and researchers in Innsbruck to exchange ideas and discuss potential collaborations.
Free Download
Request your copy of the Schaefer Scientific Poster: R10 From Bits to Bonds–An Advanced SPM Platform
Scopes
The conference welcomes the contribution for oral and poster presentations on the following topics (but not limited to):
- Novel instrumentation and techniques
- Atomic resolution imaging on insulating substrates, semiconductors, and metals
- High-resolution imaging of molecules, clusters and biological systems
- Atomic-scale imaging and spectroscopic measurements of 2D materials & quantum materials
- Simultaneous force and tunneling spectroscopy
- Theoretical analysis of contrast mechanisms; forces & tunneling phenomena
- Nanoscale measurements of charges, work function, and magnetic properties
- Imaging and spectroscopy in liquid and ambient environments
- Lateral force and friction, damping and energy dissipation
- Machine learning and big data
- Theory and simulations
- Any related science
