In the development of laser-driven color converters with simultaneously possessing excellent optical performance and superior heat dissipation, high-brightness laser lighting faces grave challenges. Herein, a reflective sandwich color converter of phosphor‐in‐glass film with sapphire and alumina (sapphire@PiGF@alumina, abbreviated as S@PiGF@A) is designed and prepared by a thermocompression bonding method. Benefiting from the high thermal conductivity and double-sided heat dissipation channels of alumina and sapphire, the S@PiGF@A color converter can withstand high laser power density and produce ultra-high luminescence. Consequently, the optimized S@PiGF@A converter yields white light with an ultrahigh luminous flux of 6749 lm at a laser power density saturation threshold of 47.70W/mm², which is 2.44 times that of traditional PiGF@alumina color converter (2522 lm@19.53 W/mm²). The findings provide valuable guidelines to design high quality PiGF color converter for high brightness laser-driven white lighting.

Zeolites have high ion exchange capacity and certain radiation resistance. However, their traditional synthesis methods have problems such as high temperature and pressure and difficult control of morphology. Moreover, powdered zeolites are prone to high pressure drop during dynamic adsorption, which limits their practical engineering applications. Therefore, developing spherical zeolites synthesis technology that combines high mechanical strength, excellent radiation resistance and efficient adsorption performance has become a core challenge in the field of radioactive pollution control.

In a paper published in National Science Review, Professor Yan Shi and his graduate student Shihan Dai from Xidian University, China, proposed a novel multi-target simultaneous intelligent detection approach based on space-time-coding metasurfaces and software defined radio technologies, with experimental validation across diverse liquid samples under complicated ambient conditions.

This study investigates tunneling spectroscopy in Ti/ LaAlO3/KTaO3 junctions, revealing potential p-wave superconductivity at the LaAlO3/KTaO3 interface and offering a universal approach to identifying the most sought-after superconducting states.

The reactive oxygen species (O*) released from the Nickel-rich layered oxide cathodes (LiNi_xCo_yMn_1−x−yO₂, NCM) are responsible for triggering thermal runaway (TR) in lithium-ion batteries (LIBs). Specifically, the charge compensation from transition metal (TM) 3d to oxygen (O) 2p in NCM plays a pivotal role in O* release. Here, inspired by the strong chelating effect of sodium phytate (PN) on TM, this study utilizes PN as a cathode additive to interact with nickel, weaken the charge compensation of TM 3d to O 2p on the surface of LiNi_0.8Co_0.1Mn_0.1O₂ (NCM811) and enhance the battery safety. It is shown that the chelation successfully stabilizes lattice oxygen and inhibits O* release, preventing harmful phase transitions in NCM811 and attenuating heat generation from O* related crosstalk reactions. Consequently, the TR trigger temperature (T_tr) of NCM811 pouch cell with PN increases from 125.9 to 184.8 °C, while the maximum temperature (T_max) decreases from 543.7 to 319.7 °C. Moreover, the PN-modified layer allows NCM811 to be cycled stably for over 700 cycles at 4.6 V. This strategy provides a facile method for stabilizing lattice oxygen in NCM, inhibiting O*-triggered TR, and enhancing high-voltage performance.

Human-robot interaction (HRI) depends on advanced sensing technologies to ensure both safety and efficiency. However, most current robotic sensors offer limited functionality. This study presents a fully soft robotic sensor with four integrated sensing capabilities: spatial proximity sensing, non-contact thermal sensing, contact-based thermal sensing, and mechanical force sensing. This multipurpose sensor enables precise detection of thermal and mechanical stimuli in both contact and non-contact manners. When integrated with a soft gripper and robotic arm, the robotic sensor demonstrated robust performance across a range of HRI scenarios. This technique could advance robotic perception and adaptability in complex environments.

In a study published in National Science Review, researchers present multiple lines of observational and modeling evidence for a ~4% decline in global atmospheric oxidation capacity in 2020, reflected by a drop in hydroxyl radical (OH) concentrations. Using satellite-based carbon monoxide data, as well as methane and methyl chloroform observations, the study reveals that this OH reduction occurred in both hemispheres—approximately 2.4% in the Northern Hemisphere and 5.7% in the Southern Hemisphere—driven by distinct mechanisms. In the Northern Hemisphere, reduced NO_x emissions due to COVID-19 lockdowns led to lower OH and tropospheric ozone levels, while in the Southern Hemisphere, massive emissions of reactive carbon from unprecedented Australian wildfires caused OH depletion but tropospheric ozone increases. This contrast in tropospheric ozone anomalies is further corroborated by satellite data. The findings help explain one of the record-breaking rises in atmospheric methane in 2020 and underscore the critical role of both natural and anthropogenic factors in shaping Earth’s atmospheric chemistry and global methane budget.