Researchers find brain mechanism behind ‘flashes of intuition’
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 17:15 ET (2-Apr-2026 21:15 GMT/UTC)
A new study explains the brain mechanisms behind moments when we first recognize a blurry object, a primal ability that enabled our ancestors to avoid threats. Based on this understanding, the team built an AI model with a human-like perceptual mechanism that learn new tasks with little training.
The research group led by Professor Yijun Feng and Professor Ke Chen from Nanjing University reports a hybrid-phase strategy that unlocks broadband achromatic wavefront control for both circular polarizations. By combining Aharonov–Anandan and Pancharatnam–Berry geometric phases within a single-layer meta-atom, they enable independent phase and group delay design for the two spin channels, overcoming the spin-locked limitation of conventional achromatic metasurfaces. The team validates beam deflectors and metalenses in the 8–12 GHz band and presents terahertz designs for 0.8–1.2 THz, demonstrating a general dispersion-engineering route to compact, polarization-multiplexed meta-optics for broadband imaging and multi-spectral sensing. The study was published in PhotoniX on December 16, 2025.
An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new battery concepts. With information from just 50 cycles, the tool—developed at University of Michigan Engineering—can predict how many charge-discharge cycles the battery can undergo before its capacity drops below 90 percent of its design capacity.
Scientists developed a terahertz microscope that compresses terahertz light down to microscopic dimensions. This pinpoint of terahertz light can resolve quantum details in materials that were previously inaccessible.
The research focused on the Hankou Tunnel, a deep-lying section of the challenging Xinjin Expressway spiral tunnel group. To find the best way to support the tunnel walls, the research team turned to advanced computer simulation technology (using the ABAQUS platform). Researchers created detailed digital models to simulate the entire construction process from start to finish. Published in Smart Construction, the findings offer crucial reference for designing more effective support systems for other deep mountain tunnels built in similar rock formations.