Is permanent storage the only strategy for dealing with nuclear waste? No, says Prof. Kristina Kvashnina of the Helmholtz-Zentrum-Dresden-Rossendorf (HZDR). With the aid of new EU funding, she wants to investigate the options for recycling some elements of nuclear waste using novel separation techniques – because old nuclear fuels contain important raw materials, not just for nuclear energy. For the next three years, 2.3 million euros in funding have recently been made available for the project “MaLaR – Novel 2D-3D Materials for Lanthanide Recovery from nuclear waste”. In addition to Germany, the partners are France, Sweden and Romania.

A study conducted by UniTrento researchers examined ant trails to find out how they manage to avoid congestion thanks to their specific traffic strategies. These could provide a model for the mobility of autonomous vehicles on smart roads

A research team led by Prof. WAN Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences has developed a dual-functional reverse osmosis (RO) membrane with enhanced antibacterial and antiadhesion properties. The membrane demonstrates broad-spectrum, sustained antibacterial activity, as well as resistance to various foulants. These properties make it suitable for water purification, seawater desalination, and high-salinity wastewater treatment, among other applications.

Researchers investigated the microwave heating characteristics in a single-mode microwave system by using Multiphysics numerical simulations. The key findings provided a theoretical basis for comprehending microwave-heating processes in single-mode reactors and clarify the common microwave-specific effects encountered in laboratory settings.

Imagine controlling apps with your feet while you walk. This concept is the focus of new research which explores using gait gestures – intentional variations in how you walk – as controls for augmented reality (AR) devices. 

In the research, they proposed the concept of Graph Foundation Model (GFM), encapsulating the vision of harmoniously merging the capabilities of graph models and large language models.