How microfluidics could bring flow cytometry closer to point-of-care testing
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Oct-2026 18:16 ET (22-Oct-2026 22:16 GMT/UTC)
Researchers built more energy-efficient and high-performance phase change random access memory by learning how to sculpt heat within a nanometer-thin sandwich of materials. They engineered a "double-confined" structure that stacks alternating slices of antimony telluride (Sb2Te3) with two distinct helper compounds: highly conductive nickel ditelluride (NiTe2) and heat-blocking molybdenum ditelluride (MoTe2).
Researchers at Nanjing University have experimentally demonstrated a quantum communication protocol that enables three users to establish a shared secure key with substantially improved performance. By combining more efficient key generation with operation without phase locking, the work advances a key building block for future multiuser quantum networks.
Graph neural networks have been used in various graph-related tasks, where they have achieved excellent performance. However, incomplete graph structures, commonly found in real-life scenarios, can severely degrade performance. In a new study, researchers develop a novel graph completion network that reconstructs missing features and structure simultaneously while also maintaining performance with extremely weak supervision, which is difficult to achieve with conventional models.
Researchers have demonstrated a scalable 3.2 Tb/s O-band silicon photonic interconnect architecture designed to address the growing bandwidth demands of artificial intelligence (AI) computing. Published in PhotoniX Synergy, the work combines hybrid wavelength-port multiplexing with adaptive wavelength stabilization to enable high-bandwidth and robust optical I/O, providing a scalable pathway toward terabit-scale silicon photonic interconnects for next-generation AI computing systems.
A research team led by Prof. ZHANG Hongwen at the Institute of Solid State Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, has developed a portable surface-enhanced Raman spectroscopy (SERS) sensor that can rapidly detect trace amounts of sarin and other organophosphorus (OP) nerve agents.
The new sensor uses a specially designed molecular probe to recognize the P–C bond found in OP nerve agents. It can detect sarin in both liquid and gas phases, making it suitable for rapid on-site screening.