This study develops an artificial SEI (HAPH@Li) composed of HFPN, Al₂O₃, and PVDF-HFP for lithium metal anodes. The layer enhances mechanical strength and ionic conductivity, effectively suppressing dendrite growth and stabilizing the interface. Paired with a Ni-rich NCMA cathode, the full cell delivers >99.62% Coulombic efficiency, 181.9 mAh g⁻¹ capacity, and 75.7% retention after 300 cycles..

This study develops a CS@Fe₃O₄/GNP-modified electrode for sensitive detection of dopamine, uric acid, and ascorbic acid. Synergistic effects enhance electron transfer and selectivity. The sensor shows low detection limits, good linearity, and reproducibility, with clear peak separation enabling simultaneous detection. Successful application in human serum demonstrates strong potential for biomedical sensing applications.

A low-dimensional hybrid heterostructure was fabricated by integrating buckyball fullerene (C60) onto SnS2 nanoflowers, enhancing broadband photoresponse. This unique hybrid heterostructure enables a self-powered bidirectional photodetector with a wavelength-dependent polarity switch, attributed to the synergistic interplay between the photothermoelectric effect of fullerene C60 and the photovoltaic effect of SnS2 nanoflowers.

This study investigates an eco-friendly textile dyeing process for cotton using Urera hypselodendron leaf extract, employing wood ash as a sustainable bio-mordant. Pre-mordanting methods optimized at 72.25°C for 51.59 minutes with 4.99% mordant concentration produced uniform, yellowish tones with a color strength (K/S) of 2.704. These findings offer a viable, non-toxic alternative to synthetic dyes, supporting sustainable practices in the textile industry.

Ordered mesoporous carbon materials, CMK-1 and CMK-3, both are well-known members of the CMK family. This study is the first to simultaneously synthesize CMK-1, CMK-3-S, and CMK-3-T by using MCM-48, SBA-15-S, and SBA-15-T as silica template sources. CMK-3-S has a large pore size, low mass transfer resistance, high thermal stability, large particle size for easy recycling, and relatively low raw material price, making it suitable for producing industrial-grade nano-carbon products. These carbons were not pretreated or modified, which were easy to synthesize and mass produce.

Metal halide perovskites are promising for indoor photovoltaics, but low-light non-radiative recombination limits performance. Here, microwave-synthesized PDI-based sulfobetaine cathode interlayers with longer alkyl chains improved stability, conductivity, and cathode work-function tuning. The best material, PDI-C5-S3, delivered 19.04% PCE under one sun and 40.72% at 1000 lux LED.

Nature Sustainability- June 2025
Tung, Ching-Wei, et al. "Spin crossover-driven diiron electrocatalyst boosts sustainable water oxidation." Nature Sustainability (2025): 1-13.

Prof. Ching-Wei Tung Department of Materials Engineering, in collaboration with a research team from National Taiwan University, published a significant research achievement in the prestigious international journal Nature Sustainability (IF 26.2). The team successfully developed a bimetallic iron molecular electrocatalyst designed through a spin-crossover-driven dimerization strategy.

This catalyst exhibited low overpotential, high turnover frequency (TOF), and excellent long-term stability in water-splitting hydrogen evolution reactions.

This breakthrough not only advances the theoretical foundation of molecular catalyst design but also provides a key synthetic direction for the development of efficient and sustainable hydrogen production materials—injecting new momentum into future hydrogen energy applications and net-zero carbon energy systems.

Type-I heterojunction has been long-perceived non-effective in photocatalytic research. Against such belief, this study demonstrates an improved photocatalytic activity over heterojunction model with Type-I-like band alignment while introducing a new photocatalytic concept associated to ‘F-scheme heterojunction’.

A flexible 3D PPy@Au/PVDF SERS substrate was developed via oxidative polymerization and in-situ AuNP growth. The platform provides dense plasmonic hotspots with an EF of ~109 and LOD of 10-11 M for thiram. Integration with ANN enables 100% accurate spectral classification, demonstrating high sensitivity, selectivity, and reliability for real-sample detection.