/ News, Research
Mass-producible miniature quantum memory
Researchers at the University of Basel have built a quantum memory element based on atoms in a tiny glass cell. In the future, such quantum memories could be mass-produced on a wafer. It is hard to imagine our lives without networks such…
/ News, Research
Increased coherence thanks to cooling
A team of researchers from the SNI network has increased the coherence of an electron spin in a quantum dot to over half a microsecond for the first time. The scientists achieved the more than 150-fold increase in coherence time by using…/ News
Happy Holidays
We wish you happy holidays and a good start to an healthy, peaceful and prosperous 2024! In our short video, we show the Moiré effect, in which a new pattern with a larger period is created by superimposing two regular patterns of a…
/ News
SNI INSight December 2023
A new issue of our electronic magazine SNI INSight is now online. Learn more about activities within our network and get an insight into the fascinating world of nanoscience./ News, Portraits
Who are the women in the nanosciences? Géraldine Guex, Professor for Oral Implantology at UZB
Géraldine Guex started studying nanosciences at the University of Basel 20 years ago. Now, as Straumann Assistant Professor at the University Center of Dental Medicine Basel (UZB), she is a new member of the SNI network. In the short video,…
/ News
SNSF Starting Grant for Jonathan de Roo
The Swiss National Science Foundation (SNSF) has awarded another six Starting Grants to University of Basel researchers. The projects come from the fields of biomedicine, chemistry, environmental sciences history and urban studies. One of…
/ News, Research
Investigation of “magic” graphene
Researchers from the SNI network have used an atomic force microscope in pendulum mode to study a two-layer graphene device. In this bilayer graphene, the two layers of pure carbon were rotated by the “magic angle” of approximately 1.1°…
/ News, Research
Better classification with machine learning
Researchers from the SNI network have introduced a new machine learning technique specifically designed to enhance the analysis of protein unfolding using Atomic Force Microscopy (AFM) data. The team of Prof. Michael Nash (University of…