Pulp mill waste becomes green solution to remove toxic dyes
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Updates every hour. Last Updated: 28-Sep-2025 11:11 ET (28-Sep-2025 15:11 GMT/UTC)
It is a fully biodegradable and eco-friendly system for hydroponic agriculture, made of hydrogel and capable of supporting plant growth with minimal water; in the future, it will be able to monitor plant health in real time. This innovation is the result of joint research between the Faculty of Engineering at the Free University of Bozen-Bolzano (UniBz) and the Istituto Italiano di Tecnologia (IIT-Italian Insititute of Technology) in Genoa. The invention offers a zero-waste, low-environmental-impact solution for agriculture, a sector increasingly threatened by climate change, drought, pollution, biodiversity loss, and soil degradation.
Understanding what happens inside a material when it is hit by ultrashort light pulses is one of the great challenges of matter physics and modern photonics. A new study published in Nature Photonics and led by Politecnico di Milano reveals a hitherto neglected but essential aspect, precisely the contribution of virtual charges, charge carriers that exist only during interaction with light, but which profoundly influence the material’s response.
At an awards ceremony held on September 18, 2025 in Düsseldorf, Dr. Jingyuan Xu from Karlsruhe Institute of Technology (KIT) was honored with the “For Women in Science” sponsorship award in recognition of her pioneering research into environmentally friendly cooling technologies. Together with three other female scientists from Germany, she received the EUR 25,000 award, which is offered by L’Oréal, the German Commission for UNESCO, and the German Humboldt Network. Since its launch in 1998, the programme’s goal has been to raise the visibility of excellent women in science worldwide.
Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By introducing signed distance fields and three-dimensional convolutional neural networks, this method can significantly accelerate electrode design while maintaining high accuracy. It is widely applicable to fuel cells, water electrolyzers, flow batteries, etc.
A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials