Tailor-made nanopores: Vienna team shapes "white graphene" at the atomic scale
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 23:17 ET (30-Oct-2026 03:17 GMT/UTC)
Researchers have developed an AI-based system that automatically and objectively detects the moment when fish experience loss of equilibrium (LOE) due to temperature stress. The system combines DeepLabCut, a deep-learning AI that captures animal posture from video, with ResNet34, a deep-learning AI-based image-classification technology. Their system is expected to help predict the effects of climate change on fish. The research team was led by Specially Appointed Lecturer Tomoya Nakayama and Yoshiya Matsuo (a master’s student at the time) of the Institute of Transformative Bio-Molecules (WPI-ITbM) at Nagoya University, in collaboration with Associate Professor Tatsuto Hasegawa and Takuya Kato (a master’s student at the time) of the University of Fukui. Their research was published in the journal Scientific Reports on September 10, 2026.
The FAST All Sky HI Survey (FASHI) team has released its second data set (DR2), cataloging 156,411 extragalactic neutral hydrogen (HI) sources over ~19,500 square degrees — nearly half the entire sky. The number of detected sources is nearly four times that of the first data release (DR1) and five times that of the Arecibo ALFALFA survey. With a median sensitivity of 0.57 mJy/beam, FASHI DR2 represents the largest and most sensitive blind HI survey ever conducted, providing a landmark dataset for studies of galaxy evolution, cosmology, and large scale structure in the local Universe.
An efficient few-shot framework was developed for large-scale annotation of light-trapped insect images. MLTIDD integrated Grounding DINO, SAM, and SAHI for multi-scale insect detection, while InsectSSRL exploited massive unlabeled insect images to enhance few-shot classification. MLTIDD achieved 79.6% AP50–95 and 90.8% AR, while InsectSSRL achieved 80.35% classification accuracy using only 5% labeled data. The framework reduced expert annotation time by approximately 80%, enabling efficient large-scale dataset construction.
Researchers at Wuhan University developed a molecular-sieve-assisted confined molten-salt route to grow 2.66 nm Na2Nb4O11 single-crystal sheets. Devices made from the material combined sensitive ultraviolet detection with millisecond response and stable cycling, and enabled UV imaging and proof-of-concept two-wavelength physical-layer information encoding.
Researchers from Shenzhen University and collaborating institutions have provided a comprehensive review of viologen-linked covalent organic frameworks (Vio-COFs) as an emerging class of charged and redox-active porous materials. With their unique combination of permanent positive charges, reversible viologen redox chemistry, and well-defined porous frameworks, Vio-COFs offer versatile platforms for modulating electron transfer, ion migration, and host–guest interactions. This review highlights recent developments in the design strategies, structural properties, and functional applications of Vio-COFs, emphasizing their potential in catalysis, energy conversion and storage, environmental remediation, and optoelectronics. Overall, the insights presented in this review pave the way for the rational design and engineering of next-generation multifunctional Vio-COF materials.
A company that helped design how astronauts grow and recycle food in space is now applying that thinking to the critical problem of dairy waste here on Earth. Take Root Bio worked with Heriot-Watt University to successfully turn salty whey, a high-volume by-product from cheese production, into a widely used fuel called bioethanol. Together, they looked at how the sugars found in salty whey could be transformed through a bio-based process, creating value from a material that is often difficult and costly to manage. The process also leaves behind a secondary stream that could potentially be recovered and reused.