News & Articles

Scientists are one step closer to the nanoscale construction of three-dimensional molecular devices

Park NX-Hybrid WLI is a fully integrated system that incorporates the best of AFM and WLI technologies into one seamless system

The research team at Queen's has developed a nanomedicine that could offer a more effective approach to radiotherapy

In this article, Sanna Arpiainen, from the Graphene Flagship, looks at the role of layered materials in the future of electronics

Watch this on-demand webinar to learn about utilizing high harmonic quantum light sources to harness short-wavelength light with unprecedented control

The discovery offers fundamental new insights into the management of energy

Graphene Flagship scientists launch first graphene-based lubricant for motor engines in Europe

The new AFM offers an overhaul in functionality while retaining the same basic design elements

In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity

This new understanding of the compound’s unique properties could pave the way to designing new flexible materials for electronics

Find out how to prevent failures with SEM/EDS and how optical spectroscopy is key to advancing nanomaterial research

The findings could lead to faster, more secure memory storage, in the form of antiferromagnetic bits

Inspired by decades-old MIT research, the new technology could boost quantum computers and other superconducting electronics.

In this article, Thurid Gspann, chairwoman of the Graphene Flagship Standardization Committee (GFSC), explains why standardization is important

Watch this on-demand webinar to find out how the Gemini technology from ZEISS addresses challenging microscopy samples

Once deemed suitable only for high-speed communication systems, an alloy called InGaAs might one day rival silicon in high-performance computing

Normally an insulator, diamond becomes a metallic conductor when subjected to large strain in a new theoretical model