Results 151 to 160 of about 27,120 (259)

Defect‐Healed Perovskite Quantum Dots for Optoelectronic Applications in Indoor Photovoltaics and Photoplethysmography

open access: yesSmall, EarlyView.
A novel dispersion‐phase defect‐healing strategy using Br‐doped PbS quantum dots (QDs) significantly stabilizes CsPbI3 perovskite (Pe) QDs by passivating internal vacancies. This approach reduces trap‐assisted nonradiative recombination, enabling high‐performance indoor photovoltaics with exceptional stability.
Seon Joong Kim   +9 more
wiley   +1 more source

Heavy‐Metal‐Free Colloidal Quantum Dots for Photocatalysis

open access: yesSmall, EarlyView.
Heavy‐metal‐free colloidal quantum dots provide sustainable photocatalytic platforms by combining tunable band structures, strong light absorption, and programmable surfaces/interfaces. This Review highlights how core/shell engineering, alloying, defect regulation, ligand design, and hybrid‐interface construction direct charge separation and ...
Xintong Xu, Ge Yang, Qin Li, Dechao Chen
wiley   +1 more source

Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace

open access: yessteel research international, EarlyView.
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley   +1 more source

A Detailed and Comprehensive Account of Fractional Physics‐Informed Neural Networks: From Implementation to Efficiency

open access: yesArtificial Intelligence for Engineering, EarlyView.
Caputo‐based fPINNs accurately solve fractional ODEs and PDEs while exposing an accuracy–cost trade‐off driven by the history‐dependent fractional derivative. Temporal collocation and shorter time windows are the most effective strategies for improving early‐time accuracy without unnecessary spatial refinement.
Donya Dabiri   +4 more
wiley   +1 more source

Warming increases trophic cascade strength in an aquatic food chain. [PDF]

open access: yesJ Anim Ecol
Biagioli FP   +4 more
europepmc   +1 more source

Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan   +3 more
wiley   +1 more source

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