Results 141 to 150 of about 110,928 (259)

Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment

Advanced Materials Interfaces, EarlyView.
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley   +1 more source

Comparative green synthesis of zinc oxide nanoparticles using millet extracts and their physicochemical characterization and in vitro antidiabetic activity. [PDF]

Discov Nano
Pathivada N, Mamidi G, Priyadarsini AI, Swathi G.   +3 more
europepmc   +1 more source

Shadow‐Free Back‐Contact Perovskite Thin‐Film Detectors for Direct Extreme‐Ultraviolet and Soft X‐Ray Sensing

Advanced Materials Interfaces, EarlyView.
A triple‐cation perovskite detector with a quasi‐interdigitated back‐contact architecture enables highly sensitive and linear EUV/soft x‐ray detection by minimizing electrode shadowing and enhancing charge extraction. Efficient interfacial carrier collection and rapid temporal response highlight the potential of back‐contact‐engineered perovskites for ...
Jingying Liu, Siqi Deng, Mosarof Hossain, Udo Bach, Kaijian Xing, Qingdong Ou   +5 more
wiley   +1 more source

Advances in Halide Perovskites for Photon Radiation Detectors

Advanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang, Jieqi Wang, Xiaojun Cui, Carsten Ronning   +3 more
wiley   +1 more source

The effects of platelet rich plasma and zinc oxide nanoparticle on skin wound healing in dogs. [PDF]

Sci Rep
Wafy MN, Hassan EA, Saeed S, Khattab MS, AbuBakr HO, Abu-Seida AM.   +5 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Optimized green zinc oxide/chitosan/amoxicillin nanocomposite against Pseudomonas aeruginosa. [PDF]

Appl Microbiol Biotechnol
El-Zahed MM, Radwan YM, Abou-Dobara MI.
europepmc   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Correction: Green synthesis and characterizations of zinc oxide nanoparticles using acorn fruit extract for antimicrobial, larvicidal and in silico activities. [PDF]

Sci Rep
Umar M, Ahmad M, Sadeeq M, Ali H, Khan A, Chaudhary AA, Ali MAM, Naeem MU.   +7 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source