A metasurface-based spectral convolutional neural network chip enables real-time, high-precision pathological diagnosis of meibomian gland dysfunction (MGD), achieving 96.22% diagnostic accuracy—significantly outperforming conventional RGB image analysis (84.00%). This is the first study to apply an optical neural network chip for MGD diagnosis and to establish a spectral histopathology framework for ocular surface disease.

Researchers from the School of Electronic Science and Engineering at Southeast University, led by Prof. Zhenhua Ni and Prof. Junpeng Lu, have developed a pioneering computational spectrometer recently published in PhotoniX. The device utilizes a silicon photonic "Vernier Caliper" concept to overcome the fundamental trade-off between device footprint, bandwidth, and resolution. Operating within an ultra-compact footprint of only 55*35 µm², the spectrometer achieves an expansive bandwidth exceeding 160 nm and an average algorithm-enhanced spectral resolution of 1.35 pm. This performance establishes a record-breaking bandwidth-to-resolution-to-footprint ratio of over 61.5 µm^-2, demonstrating a significant advance for integrated spectrometers.

This breakthrough is achieved through a deep co-design of photonic hardware and computational science, moving beyond simple algorithmic compensation. The hardware architecture features cascaded Trapezoidal Subwavelength Grating Microring Resonators (TSWG-MRRs) that utilize dispersion engineering to suppress resonant periodicity. This deterministic design allows the device to scan a working window over 16 times larger than a standard microring's free spectral range. The system treats the intrinsic resonance peaks as orthogonal measurement bases and integrates an Nvidia Jetson GPU-accelerated unit to achieve real-time reconstruction. The team successfully resolved 49 absorption lines of hydrogen cyanide (H¹³C¹⁴N) with an accuracy exceeding commercial benchtop optical spectrum analyzers, validating its potential for gas sensing, chemical analysis, and lab-on-a-chip applications.

As the AI era accelerates the demand for advanced semiconductor packaging, a global joint research team has developed an Ultrafast Laser Chemical Vapor Deposition (ULCVD) technique. This breakthrough enables maskless, 3D direct-write patterning of highly conductive carbon circuits on all surfaces of transparent glass substrates, solving critical metallization challenges for Through-Glass Vias (TGV) and Redistribution Layers (RDL).

Soil science is undergoing a profound transformation, evolving from its traditional focus on agriculture to a multidimensional discipline addressing some of the most urgent challenges of our time. 

Researchers develop light-induced Asp(D)-to-Ala(A) protein editors (LIDAPEs) which enable site-specific residue editing of endogenous protein in living cells, and lay the foundation for a new class of chemical biology tools.

As a highly differentiated sensory organ, the maintenance of the eye's physiological functions relies on rigorous metabolic regulation. The Tricarboxylic Acid (TCA) cycle within mitochondria serves as the core pathway for ocular energy metabolism, providing essential metabolic substrates and reducing equivalents for corneal homeostasis and retinal phototransduction. However, a critical scientific question remains: is there significant heterogeneity in energy utilization across different anatomical tissues of the eye? Furthermore, how does biological sex regulate the ocular metabolic profile through distinct biological pathways?  A study recently published in Eye Discovery (2026) utilized high-sensitivity Liquid Chromatography-Mass Spectrometry (LC-MS) to achieve absolute quantification of TCA cycle intermediates in mouse ocular tissues. Conducted by a team from West Virginia University, the research aims to construct a standardized ocular metabolic reference model, revealing dual differences in metabolic characteristics based on spatial distribution and biological sex.

The rapid development of aero-engines has raised higher requirements for the performance of thermal barrier coatings (TBCs). The solid-solution mechanism of Yb and Sc doping in Gd₂Zr₂O₇ (GZO) was investigated using first-principles calculations, and 11.76 at.% Yb and 5.88 at.% Sc co-doped GZO (GYbSc) was optimized. Experiments have shown that GYbSc remains phase-stable after 300 h heat treatment at 1400 °C, with a thermal conductivity as low as 0.935 W·m^-1·K^-1, a coefficient of thermal expansion reaching 11.059 × 10^-6 K^-1, and superior CMAS corrosion resistance. The findings of this study provide an efficient strategy for novel TBC materials.

Thermal barrier coatings for aeroengines are facing a severe challenge of premature failure due to CMAS molten salt corrosion. This study innovatively designs a Zr-Ta-O/YSZ double-layer structure and prepares a core-shell eutectic Zr-Ta-O (ZTO) top layer (with a porosity of only 2.0%) by atmospheric plasma spraying. This layer achieves a compressive strain of over 30% and a yield strength of 4.5 GPa, effectively blocking the penetration of CMAS at 1250°C through dynamic sealing and self-removal dual mechanisms, protecting the underlying YSZ. This technology significantly extends the coating's lifespan and provides a key protective solution for the next generation of high thrust-to-weight ratio engines.

It is our great pleasure to announce and congratulate the awardees of the 2026 Carbon Future Young Investigator Award. Established in 2024, this award recognizes young researchers (PhD student or postdoctoral researcher) who have demonstrated exceptional research potential and innovative capabilities in the fields of carbon materials, carbon catalysis, low-carbon energy, or chemical engineering.