Results 131 to 140 of about 2,967,782 (299)

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

Advanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source

Harborfront Anomaly Detection

Neural Processing Letters
Abstract Creating high-quality datasets for the task of video anomaly detection is challenging due to a subjective anomaly definition and the rarity of anomalies, which oust the possibility of obtaining statistically significant data. This results in datasets where anomalies are placed in a single category, and are often considered less ...
Jacob V. Dueholm, Mia Sandra Nicole Siemon, Radu Tudor Ionescu, Thomas B. Moeslund, Kamal Nasrollahi   +4 more
openaire   +3 more sources

Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films

Advanced Materials, EarlyView.
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford, Anne Flechsig, Shilei Ding, Emir Karadža, Niklas Kercher, Tobias Goldenberger, Elisabeth Müller, Pietro Gambardella, Laura J. Heyderman, Aleš Hrabec   +9 more
wiley   +1 more source

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

pyCLAD: The universal framework for continual lifelong anomaly detection

SoftwareX
Anomaly detection is a recognized problem with high significance and impact in many real-world settings. Continual anomaly detection is an emerging paradigm that allows for the design of anomaly detection methods capable of adapting to new challenges in ...
Kamil Faber, Bartlomiej Sniezynski, Nathalie Japkowicz, Roberto Corizzo   +3 more
doaj   +1 more source

Enhancing network traffic prediction and anomaly detection via statistical network traffic separation and combination strategies

, 2006
In this paper, we propose, study and analyze a new network traffic prediction methodology, based on the \u27frequency domain\u27 traffic analysis and filtering, with the objective of enhancing the network anomaly detection capabilities.
Jiang, J, Papavassiliou, S, Papavassiliou, Symeon, Jiang, Jun   +3 more
core   +1 more source

Ferromagnetism of Molecular Beam Epitaxy‐grown Ultra‐thin Cr2Ge2Te6 Films Down to the Monolayer Limit on Si Substrates

Advanced Materials, EarlyView.
Uniform monolayer Cr2Ge2Te6 films are achieved on Si substrates by molecular beam epitaxy. Intrinsic ferromagnetism with perpendicular magnetic anisotropy is established in the films by anomalous Hall effect and superconducting quantum interference device measurements, albeit with strong magnetic fluctuations characteristic of its 2D nature.
Pengfei Ji, Ruixuan Liu, Tianchen Zhu, Yang Chen, Yitian Tong, Jinxuan Liang, Yunhe Bai, Yunyi Zang, Zuhan Geng, Fangting Chen, Xiyu Hong, Jiatong Zhang, Luyi Yang, Qi‐Kun Xue, Ke He, Xiao Feng   +15 more
wiley   +1 more source

Unsupervised anomaly detection for HVAC units

reservedThis thesis project focuses on the detection, using unsupervised methods, of anomalies in HVAC units. The main goal is to detect compressors' faults by training a specialized isolation forest model on raw sensors' data.
LUISETTO, FEDERICO
core  

Anomaly intrusion detection model using data mining techniques [PDF]

, 2006
Intrusion detection system has become an important component of a network infrastructure protection mechanism. There are generally two main methods or techniques in intrusion detection; misuse detection and anomaly detection.
Rusli, Rozana, Abdullah, Abdul Hanan
core  

Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures

Advanced Materials, EarlyView.
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko, Jaimin Kang, Su Jae Kim, Hanhwi Jang, Do‐Kyeong Nam, Minseok Kang, Sunghoon Kim, Yeon Sik Jung, Se‐Young Jeong, Kab‐Jin Kim, Byong‐Guk Park   +10 more
wiley   +1 more source