Breaking the memory–computing divide: Ferroelectric memristors unlock new possibilities
Peer-Reviewed Publication
Below are the latest research news from Science China Press.
Updates every hour. Last Updated: 24-Oct-2026 14:17 ET (24-Oct-2026 18:17 GMT/UTC)
As artificial intelligence drives demand for faster and more energy-efficient hardware, ferroelectric memristors are attracting growing attention. A new review outlines how these devices combine memory, computation, and learning capabilities in a single platform, offering new opportunities for intelligent computing beyond the traditional von Neumann architecture.
This review highlights the complex fluid dynamics in laser-droplet interactions and debris control which is key to the high-end chipmaking technology using extreme ultraviolet light sources. By connecting fluid physics with EUV source engineering, the work offers a roadmap for building more efficient, stable, and debris-resistant systems for advanced semiconductor manufacturing.
A research team led by Prof. Zhen Gao at Southern University of Science and Technology has achieved the first experimental observation of the three-dimensional (3D) photonic quantum Hall effect of Fermi arcs and its hallmark feature, the one-sided chiral hinge states, in a 3D inhomogeneous magnetic Weyl photonic crystal.
A research team at Peking University proposed an optoelectronic distributed computing system based on an on-chip all-optical supernode. By integrating high-speed silicon photonic transceiver chips, low-loss optical circuit switching (OCS) chips and multiple computing nodes, the system enables intermediate data between different layers of a deep neural network to be directly transmitted and switched through an on-chip high-speed all-optical supernode. This approach reduces latency overheads associated with conventional data movement, packet scheduling and buffering.
As artificial intelligence expands from cloud computing into robots, autonomous vehicles and other real-world systems, conventional electronic architectures face increasing challenges in latency, bandwidth and energy consumption. Researchers from the University of Shanghai for Science and Technology propose Brain-like Optical Computing (BOC), a new photonic framework integrating sensing, memory and computation for future edge and embodied intelligence.
Researchers have developed a real-space topological strategy to stabilize fractional orbital angular momentum modes, which are normally unstable in free space. Inspired by quark confinement, the team used optical conformal mapping to stitch fractional phase structures into stable composite wave states. The mechanism was experimentally demonstrated on an elastic flexural wave platform and may offer new opportunities for wave manipulation in acoustics, photonics and on-chip information systems.
A team led by Professors Jianping Weng, Sihui Luo and Lianxin Liu from the University of Science and Technology of China published the study Hepatic IFRD1 suppresses metabolic dysfunction-associated fatty liver disease via GLUD1/α-KG axis in Science Bulletin.This study identifies the IFRD1-GLUD1-α-KG cascade as a vital link between metabolism and epigenetics. It establishes the first clinical association of IFRD1 with MASLD, reveals a GLUD1-dependent pathogenic pathway, and validates α-KG’s epigenetic function, offering a novel metabolism – epigenetics - targeted therapeutic strategy for MASLD.