Results 161 to 170 of about 1,576,235 (307)
Magnetic‐Field Tuning of the Spin Dynamics in the Quasi‐2D Van der Waals Antiferromagnet CuCrP2S6
This study reveals 2D character of the spin dynamics in CuCrP2S6, as well as complex field dependence of collective excitations in the antiferromagnetically ordered state. Their remarkable tuning from the antiferromagnetic to the ferromagnetic type with magnetic field, together with the non‐degeneracy of the magnon gaps favorable for the induction of ...
Joyal John Abraham +16 more
wiley +1 more source
Recognition of Colombian Alphabeth in Sign Language Using Deep Learning Techniques [PDF]
Eugenia Arrieta Rodríguez +3 more
openalex +1 more source
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan +14 more
wiley +1 more source
ArabicSL-Bench: A Benchmark Image Dataset for Arabic Alphabets Sign Language
Mohamed Essam +17 more
openalex +1 more source
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Dual‐phase MoC/Mo2C/CoNC nanoframes are synthesized via a MOF‐on‐MOF strategy, demonstrating a large salt adsorption capacity, a low energy consumption, and an excellent cycling stability. In situ/ex situ characterizations and DFT calculations reveal that the MoC/Mo2C dual phase transition facilitates Na+ adsorption/desorption, while interface‐induced ...
Feifei Pang +8 more
wiley +1 more source
The Neural Network for Sign Language Comprehension. [PDF]
Terhune-Cotter B, Emmorey K.
europepmc +1 more source
Grain Boundary Space Charge Engineering of Solid Oxide Electrolytes: Model Thin Film Study
This study demonstrates unprecedented control of grain boundary electrical properties in solid electrolytes. Selective diffusion of cations through grain boundaries in thin films enables 12 orders of magnitude variation in ionic resistance, proving that systematic chemical modification of grain boundary electrical properties is feasible.
Thomas Defferriere +5 more
wiley +1 more source

