Results 61 to 70 of about 25,234 (218)
Synthesis of Amorphous‐Crystalline Mixture Boron Nitride for Balanced Resistive Switching Operation
Small, EarlyView.An amorphous–crystalline mixture BN (acm‐BN) is synthesized through low‐pressure chemical vapor deposition, achieving balanced resistive switching with low SET voltage and stable RESET. High‐resolution transmission electron microscopy reveals that BN films are fully amorphous at 930 °C, a mixed amorphous–crystalline phase is achieved at 990 °C.
Kyung Jin Ahn +8 more
wiley +1 more source
Low Temperature Site‐Specific Pulsed Laser Annealing of MoS2
Small, EarlyView.The application of laser pulses, of extremely short duration, is investigated as a potential new method to modify the atomic structure of ultrathin 2D materials for use in the creation of future electrical devices. The process is efficient, offering a site‐specific functionality, where regions of an electronic device that only requires annealing is ...
Nazar Farid +13 more
wiley +1 more source
Porous two dimensional architectures for high efficiency electrocatalytic urea oxidation
Smart Molecules, EarlyView.This review elucidates how porous two‐dimensional architectures regulate urea oxidation pathways through coupled structural and electronic effects, offering structure‐guided insights into catalytic efficiency, stability, and low‐carbon energy conversion.
Kean Zhu +5 more
wiley +1 more source
Data Schema Evolution for the Self‐Adaptive Software Domain: A Systematic Mapping Study
Software: Practice and Experience, EarlyView.ABSTRACT Context Self‐adaptive Software (SaS) is a special category of software systems that enables adaptation at runtime to address new user requirements or changes in its execution environment. This article focuses on a specific category of SaS named SaS2DB, which encompasses systems that require the storage of data in a database. In short, a SaS2DB
Gabriel Nagassaki Campos +4 more
wiley +1 more source
steel research international, EarlyView.On the pathway to climate‐neutral steel production, recycling fractions will necessarily increase over time. Since alloying elements will enrich progressively, as they cannot be removed economically from the melt, processes need to be adjusted.
Anindita Chakraborty +3 more
wiley +1 more source
steel research international, EarlyView.Heat treatments that alter the proportions of austenite and ferrite phases or induce the precipitation of phases such as sigma in duplex stainless steel UNS S32205 make it more susceptible to pitting and crevice corrosion. However, the effects of these treatments are not always evident when analyzed using the cyclic polarization technique.
Alba Regina Turin +8 more
wiley +1 more source
Environmental Toxicology, EarlyView.ABSTRACT This study evaluated the water quality of artesian wells and effluents generated in cassava processing in a rural area of Bragança, Pará, with emphasis on physicochemical parameters, multielement composition, and cyanogenic compounds. The well water presented specific nonconformities, highlighting pH values below the recommended level and high
Alana Coêlho Maciel +13 more
wiley +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
ANPGT: Towards Adaptive Node Property Extraction and Integration
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
wiley +1 more source