Results 131 to 140 of about 307,816 (329)
Through comprehensive analysis of framework materials in ion extraction, osmotic energy conversion, and evaporative energy harvesting, this review establishes interdisciplinary connections centered on ion‐selective transport mechanisms across these applications and identifies critical challenges and knowledge gaps in existing studies.
Zhengyun Wang+3 more
wiley +1 more source
The coexistence of ferromagnetic and antiferromagnetic orders in van der Waals magnet above room temperature, inducing an intrinsic exchange bias and canted perpendicular magnetism is discovered. Such non‐trivial intrinsic magnetic order enables the realization of energy‐efficient and magnetic field‐free spin‐orbit torque memory devices.
Bing Zhao+8 more
wiley +1 more source
Due to the rapid development of technologies such as cloud computing and the Internet of Things (IoT), wireless sensor networks are becoming increasingly popular in the field of environmental monitoring.
Rui Zhang+3 more
doaj +1 more source
Hyperspectral imagery: clutter adaptation in anomaly detection [PDF]
S.M. Schweizer, José M. F. Moura
openalex +1 more source
Tailoring Robust Quantum Anomalous Hall Effect via Entropy‐Engineering
Bandstructure renormalization, without (w/o) spin‐orbit interaction (SOI) (left) and with SOI (right), in the low‐energy Dirac bands of zero‐entropy (purple) and entropic (green) VCl3 monolayer (ML) with long‐range ordering (LRO). Abstract The development of quantum materials and the tailoring of their functional properties is of fundamental interest ...
Syeda Amina Shabbir+3 more
wiley +1 more source
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting
Anomaly detection in network traffic is crucial for maintaining the security of computer networks and identifying malicious activities. Most approaches to anomaly detection use methods based on forecasting.
Josef Koumar+3 more
doaj +1 more source
Introduction: Log anomaly detection is essential for monitoring and maintaining the normal operation of systems. With the rapid development and maturation of deep learning technologies, deep learning-based log anomaly detection has become a prominent ...
Zhongjiang Yu+5 more
doaj +1 more source
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue+5 more
wiley +1 more source
Revealing the Altermagnetism in Hematite via XMCD Imaging and Anomalous Hall Electrical Transport
This study combines X‐ray magnetic imaging and electrical transport to uncover the anomalous Hall effect in hematite, an insulating oxide exhibiting unconventional altermagnetic properties. Imaging reveals distinct magnetic domains linked to crystal symmetry, and angular‐dependent transport measurements highlight unusual symmetry‐driven conductivity ...
Edgar Galindez‐Ruales+18 more
wiley +1 more source