Smart surfaces: A powerless solution to multipath signal interference
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Jun-2025 23:09 ET (17-Jun-2025 03:09 GMT/UTC)
Multipath interference disrupts wireless signals, causing issues like TV ghosting and fading. Now, researchers from Japan have developed a passive metasurface that overcomes traditional filtering limits. Using a time-varying interlocking mechanism with field-effect transistors, it transmits the first signal while blocking delayed ones from other angles—without power or processing. This innovation enables low-cost, reliable wireless communication, which is ideal for IoT applications and environments prone to interference.
Sleep is essential for memory consolidation, but could it also prepare the brain for future learning? Researchers from Japan investigated this dual role, using advanced imaging to track neuronal activity in mice. They identified a distinct population of brain cells that became active during post-learning sleep and later encoded new experiences. Their findings, supported by neural network modeling, reveal that sleep not only preserves past memories but also primes the brain for forming future memories.
Researchers from AIMR developed an AI-driven approach to model carbon growth on metal surfaces with high accuracy. By integrating molecular dynamics, time-stamped force-biased Monte Carlo simulations, and machine learning, their method replicates key processes like carbon diffusion and graphene nucleation, enabling scalable, efficient carbon nanomaterial production for electronics and energy storage.
A Japanese research team has, for the first time, captured real-time images of how supramolecular gels form using high-speed atomic force microscopy, revealing a previously unseen mechanism of fiber growth at the nanoscale.