Results 191 to 200 of about 921,934 (330)
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
Employing feedforward backpropagated neural network for Doppler scale estimation in underwater acoustic CP-OFDM communication. [PDF]
Muzzammil M +4 more
europepmc +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties. [PDF]
Demirci S +4 more
europepmc +1 more source
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
Modeling of thermal errors for dual-spindle turning-milling compound machine tools based on hybrid networks. [PDF]
Lu W +5 more
europepmc +1 more source
Machine Learning Ensemble Strategy for HTC Reactor Modelling Under Data Scarcity
This study investigates an adaptive ensemble machine learning approach to predict HTC reactor output parameters under severe data scarcity conditions.
Bartolomeo Cosenza +6 more
doaj
This work reports the first gram‐scale solvothermal synthesis of ‘Rubik's cube’ nanoparticles—cubic, dendritic multicore structures with tuneable sizes and exceptional magnetic heating performance. Featuring iron oxide single‐domain character, with low coercivity fields, high magnetization, and strong MPI signals, they enable viscosity‐independent ...
Giusy M. R. Rizzo +12 more
wiley +1 more source
Parameter Estimation in photovoltaic systems using a hybrid Bat and crow metaheuristic algorithm. [PDF]
Ashour Mohameed Almabrouk A +2 more
europepmc +1 more source
Contact Lens with Moiré Patterns for High‐Precision Eye Tracking
This work presents a passive contact lens for high‐precision eye tracking, integrating a microscopic moiré grating label. The parallax‐induced shift of macroscopic moiré patterns enables angle measurement with 0.28° precision using a standard camera under ambient light.
Ilia M. Fradkin +11 more
wiley +1 more source

