CAS Key Laboratory of Urban Pollutant Conversion

Machine learning enabled kinetic prediction and inverse design of sonoelectrochemical oxidation: Molecular descriptor integration, applicability domain assessment, and experimental verification

Sonoelectrochemical oxidation (US-EC) is a promising method for removing emerging pollutants, but its degradation kinetics are influenced by the interactions between operating conditions, reactor characteristics, and pollutant properties. This study developed an machine learning...

Hybrid intelligent strategy driving high-dimensional encrypted orbital angular momentum comb multicasting towards optical data-transmission networks

Abstract Achieving higher degrees and dimensions of light is one of the accessible paths for increasing the capacity of optical data-transmission systems. Orbital angular momentum (OAM), owing to its infinite and mutually orthogonal nature, offers a promising carrier for high-cap...

A Fully‐Connected Chip‐Integrated Reconfigurable Mode‐Pairing Quantum Key Distribution Network

ABSTRACT Quantum key distribution (QKD) provides an information‐theoretic security framework for building QKD networks (QNs). However, existing QN architectures face critical challenges: trusted‐node‐based designs inherently expose relay nodes to physical compromise, while entang...