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#1361Physics & AstronomyFront Page13 November 2025

New Method Unlocks Pure Information Currents in Silicene

Physicists have theoretically proposed a novel method to inject pure 'spin' and 'valley' currents into silicene, a cousin of graphene. By precisely controlling electric and magnetic fields across a specialised junction, they can generate these information-carrying currents without any accompanying electrical charge, paving the way for more efficient electronic devices.

By Qi, Cao, Xu, Cao, Zhou, Jin

#1362NeuroscienceFront Page13 November 2025

New AI Models Predict Mosquito Presence Using Fewer Clues

Scientists have successfully applied reinforcement learning—a type of artificial intelligence—to predict the historical distribution of the West Nile Virus-carrying mosquito. While its overall performance was similar to other machine learning methods, this approach proved highly effective using fewer environmental clues, offering a powerful new tool for tracking disease vectors in resource-limited situations.

By Yin, Ragab, Tyshenko, Arroyo, Oraby

#1363Physics & AstronomyFront Page17 November 2025

Microscopic Worlds Are Training AI to Design New Materials

Scientists are using colloidal systems, where individual particles can be tracked, as a perfect training ground for artificial intelligence. This unique visibility provides incredibly rich data, teaching machine learning models to predict how materials behave and helping to design novel ones from scratch.

By Kang, Joo, An, Hwang

#1364Computer Science & AIFront Page17 November 2025

Hybrid Poplar Trees Mix Genes to Fine-Tune Their 'Breathing' for a Changing Climate

When two closely related poplar species interbreed, they create novel genetic combinations that influence their stomata—the tiny pores on their leaves. New research reveals that local climate, particularly precipitation, then acts as a selective force, favouring the genetic variations that help these hybrid trees adapt to their specific environment.

By Zavala‐Paez, Keller, Holliday, Fitzpatrick, Hamilton

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