Machine learning helps design 3D-printed metastructure for broadband microwave absorption
Peer-Reviewed Publication
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Catalytic Applications of Carbon Nitride-Based Nanomaterials presents a focused overview of the synthesis, properties and catalytic applications of graphitic carbon nitride (g-C₃N₄)-based nanomaterials in modern chemistry. With their structural versatility, chemical stability and tunable electronic properties, carbon nitride-based materials have attracted growing interest as catalysts for organic synthesis, photocatalysis, electrocatalysis and environmental applications.
The search for more selective, effective and targeted cancer therapies continues to drive innovation across medicinal chemistry and pharmaceutical research. Heterocyclic Chemistry in Oncology: Promising Agents and Novel Approaches, edited by Smriti Dewangan, Anchal Verma and Varsha Rawat, explores the important role of heterocyclic compounds in modern anticancer drug discovery and development.
The development of singular optics and vortex beams has facilitated novel rotational sensing through the rotational Doppler effect. Researchers in China have pioneered an "optical singularity protractor" for rotation sensing by shifting the research focus from optical vortices to phase singularities. This approach, compatible with traditional sensing probe and enhanced with neuromorphic vision, enables high-speed, high-precision contactless measurement of rotation in complex scenarios. The technique paves a new way for precision sensing and next-generation neuromorphic systems.
Adaptive optics has been introduced into surface plasmon resonance holographic microscopy to achieve background-free near-field quantitative phase imaging. By exploiting the inherent capability of digital holography to obtain the wide-field complex amplitude—particularly the phase distribution—of light waves, we have achieved rapid, accurate, in-situ adaptive correction of wavefront aberrations and high-quality near-field quantitative phase imaging. This research provides a novel aberration correction scheme and imaging methodology for various types of quantitative phase microscopy systems.
Highly loaded magneto-dielectric composite systems are promising for achieving strong electromagnetic loss and structural design flexibility, yet their processability and geometric controllability remain extremely challenging. Herein, a rheologically engineered direct ink writing (DIW) 3D printing strategy is developed. Graphene (Gr) is introduced to reconstruct the particle-loading network, which synergistically improves the ink’s yield behavior, shear-thinning property, structural recovery, and a magnetic–dielectric synergistic loss system is constructed with carbonyl iron powder (CIP). The critical CIP content (~ 84.06 wt%) is determined by the yield model, and a tunable Gr/CIP (GC) composite ink is obtained. The correlation among rheological response, geometric fidelity, and temporal stability is established, enabling high-fidelity 3D-printed gradient honeycomb structures. The rationally designed 3D-printed GC honeycomb (GCH) absorber achieves an effective absorption bandwidth of 18 GHz–4 THz, with an RLmin of − 84.30 dB at a thickness of 2.6 mm. When integrated into device-level terahertz reconfigurable intelligent surfaces (RIS), the GCH absorber contributes to a ~ 3.3 dBi main lobe gain enhancement, 1.9–3.3 dB sidelobe suppression, and a ~ 58% reduction in reflection beamwidth, showing excellent electromagnetic compatibility performance for communication, imaging, and radar. This work offers a practical strategy for the structural fabrication and device integration of high-load magneto-dielectric synergistic absorbers.
Researchers have developed a strategy to improve the fire safety of polymer materials by using ZIF-67, a porous metal-organic framework, together with different flame-retardant components. The study explains how ZIF-67 can enhance fire resistance, reduce smoke release and provide a versatile platform for designing safer high-performance polymer composites.