Extraordinary sensors pushed to their boundaries

Last year, Tobias Kippenberg and his team from the Laboratory of Photonics and Quantum Measurements (LPQM1) presented a new-generation sensor capable of detecting very small forces with unprecedented efficiency. These devices, ...

Transverse instability of megaripples

Aeolian ripples, which form regular patterns on sand beaches and desert floors, indicate the fundamental instability of flat sand surfaces under the wind-induced transport of sand grains.

How fast do chemical trains move in living cells?

The rate of chemical processes in cells is dictated by the speed of movement (diffusion) of molecules needed for a given reaction. Using a versatile method developed at the Institute of Physical Chemistry of the Polish Academy ...

Targeting SARS-CoV-2 enzyme with inhibitors

As the COVID-19 pandemic caused by the coronavirus SARS-CoV-2 continues to spread around the world, many researchers are studying epidemiological models to predict its propagation.

Giant earthquakes help predict volcanic eruptions

Researchers at the Institut des Sciences de la Terre (CNRS/Université Joseph Fourier/Université de Savoie/IRD/IFSTTAR) and the Institut de Physique du Globe de Paris (CNRS/Université Paris Diderot/IPGP), working in collaboration ...

Certifying attack resistance of convolutional neural networks

When shopping for a watch, you may notice its water resistance rating, which indicates that the watch is warranted to be waterproof to a certain level. What about your neural network? Can one ensure a neural network is "attack ...

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