Laser-driven luminescent ceramic-converted near-infrared II light source for advanced imaging and detection techniques
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-Dec-2025 11:11 ET (25-Dec-2025 16:11 GMT/UTC)
Laser-driven near-infrared II (NIR-II) light sources comprising luminescent ceramics represent a promising research frontier. A non-equivalent cation substitution strategy was presented to fabricate high-efficiency translucent MgO:Ni2+,Cr3+ NIR-II luminescent ceramics. The co-doping of Cr3+ induces structural distortion at Ni2+-occupied octahedral sites, effectively breaking the parity-forbidden d-d transition constraint while enabling efficient energy transfer from Cr3+ to Ni2+. When integrated into laser-driven NIR-II light sources, the system achieves record-breaking performance of 214 mW output power under 21.43 W/mm2 blue laser excitation.
Researchers have found a new way to turn low-frequency light into higher-frequency terahertz waves using special quantum materials called topological insulators. By placing these materials inside tiny ring-shaped structures that boost light signals, they created both even and odd harmonics—something rarely seen before. This breakthrough could lead to better ways of generating terahertz light, which is useful for imaging, communication, and exploring new physical effects in advanced materials.
Bochum, Germany, October 29, 2025, Researchers from Research Center for Future Energy Materials and Systems at the Ruhr University Bochum, Software for Chemistry & Materials BV, and Vrije Universiteit Amsterdam have demonstrated that modern universal machine learning interatomic potentials (uMLIPs) can now accurately describe systems ranging from single molecules to bulk solids, representing a significant leap forward for uMLIPs in materials science. The study introduces the 0123D dataset, comprising 40,000 diverse structures specifically designed to benchmark model performance across all dimensionalities.
A research team from Yunnan University has developed a novel liquid metal-assisted heteroepitaxy method to grow high-quality perovskite crystals within mesoporous scaffolds. This breakthrough enables printable mesoscopic perovskite solar cells to reach a champion efficiency of 20.2% while maintaining 97% performance after 3000 hours under harsh conditions. The approach offers a scalable pathway to efficient, stable, and low-cost printable photovoltaics.
In a paper published in SCIENCE CHINA Earth Sciences, a team of researchers investigated a fine-scale lightning forecasting approach based on weather foundation models (WFMs) and proposed a dual-source data-driven forecasting framework that integrates the strengths of both WFMs and recent lightning observations to enhance predictive performance. Furthermore, a gated spatiotemporal fusion network (gSTFNet) is designed to address the challenges of cross-temporal and cross-modal fusion inherent in dual-source data integration. Experimental results demonstrate that the dual-source framework significantly improves forecasting performance compared to models trained solely on WFMs and outperforms both the ECMWF HRES lightning product and other deep-learning spatiotemporal forecasting models.