Results 201 to 210 of about 150,142 (264)

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

Scalable modeling of multi-spin ensembles in SABRE hyperpolarization: a symmetry-based framework for zero and ultralow fields. [PDF]

Magn Reson (Gott)
Markelov D, Snadin A, Kiryutin A, Barskiy D, Yurkovskaya A.   +4 more
europepmc   +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

A Multifunctional Cationic Waterborne Polyurethane System with High Fire-Safety and Antibacterial Performance Enabled by Phosphorous Acid-Protonated Chitosan. [PDF]

Biomimetics (Basel)
Tian XY, Zhao ZG, Chen P, Ni YP.
europepmc   +1 more source

Light Switchable Ionic Conductivity of Arylazopyrazole Modified Polysiloxanes

Advanced Materials Technologies, EarlyView.
We present a polysiloxane functionalized with a novel arylazopyrazole dye that undergoes reversible photoisomerization. Upon lithium bis(trifluoromethanesulfonyl)imide addition and UV irradiation, the polymer exhibits a shift in tan(d) toward higher frequencies and enhanced ionic conductivity.
Malte S. Beccard, Thulasinath Raman Venkatesan, Michael Bauer, Valentin Razvan Lupu, Philipp Scheidegger, Francesco Taddei, Frank A. Nüesch, Dorina M. Opris   +7 more
wiley   +1 more source

Structural Prior-Guided Weighted Low-Rank Denoising for Short-Wave Infrared Star Images. [PDF]

Sensors (Basel)
Wu C, Wang K, Wang T, Du G, Li X, Chen F.   +5 more
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

Entropy-Modulated Oxide-Metal Catalyst Architectures for Direct Ammonia Protonic Ceramic Fuel Cells. [PDF]

Nanomicro Lett
Kim D, Park DJ, Jeong I, Oh S, Kim H, Lee M, Lee SW, Lee K, Chung D, Roh KM, Bae J, Shin TH, Lee KT.   +12 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

Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis. [PDF]

Stat Med
Pietrosanu M, Yu D, Mizera I, Jiang B, Kong L.   +4 more
europepmc   +1 more source