A research team from ct.qmat, in a collaboration with an international team, has detected optical quasiparticles on the surface of an antiferromagnetic quantum material for the very first time. Previously, scientists only knew that these excitons could form inside these materials. The breakthrough results have been published in Nature Materials.

This article examines the potential of Artificial Intelligence-driven Distributed Acoustic Sensing (AI+DAS) technology in engineering applications. Based on fiber optic monitoring, DAS enables real-time acoustic signal monitoring by detecting disturbances along the fiber, offering long measurement distances, high spatial resolution, and a large dynamic range. The article outlines the basic principles and demodulation methods of DAS using Φ-OTDR technology, highlighting AI's role in data processing and event recognition. By integrating AI algorithms, DAS systems enhance monitoring accuracy and reliability. Additionally, the article reviews AI+DAS applications across various fields, including engineering and geology, and discusses challenges such as model complexity and resource demands. Overall, it aims to foster interdisciplinary collaboration and support digital transformation in industrial scenarios.

Researchers have unveiled a groundbreaking mechanism in waveguide quantum electrodynamics (QED) that breaks conventional limits on quantum emitter lifetimes. By leveraging non-Markovian dynamics and delayed feedback, the team demonstrated a sub-local decay rate—where the total decay rate of emitters drops below their intrinsic free-space decay rate. This energy quantum confinement effect dynamically traps photons within the waveguide, enabling unprecedented suppression of local dissipation. The discovery opens new pathways for robust quantum memory, high-fidelity metrology, and scalable quantum networks.

Researchers from Institute of Physics, Chinese Academy of Sciences, have developed an new strategy for designing highly efficient and cost-effective catalysts for electrochemical water splitting, a crucial process in the production of green hydrogen. The new catalyst based on nanoporous metallic glass exhibits remarkable electrocatalytic performance, requiring only 1.53 V bias to achieve a current density of 10 mA cm⁻² for overall water-splitting. This surpasses the current performance of commercial Pt/C || IrO₂ catalysts, which require 1.62 V.