Results 111 to 120 of about 4,358,705 (199)

Plaid‐Like Spin Splitting and Chirality of Magnon Bands in Antiferromagnetic MnTe2

Advanced Science, EarlyView.
Helicity‐ and angle‐resolved Raman spectroscopy reveals chiral magnons in the non‐coplanar antiferromagnet MnTe 2. Combined with first‐principles calculations and spin‐wave theory, the results establish its altermagnetic character through circular Raman dichroism, reduced rotational symmetry, and a distinctive plaid‐like momentum‐space magnon spin ...
Dirk Wulferding, Daehyeon An, Jiwon Choi, Dongmin Moon, Youngsu Choi, Sivasakthi Kuppusamy, Sritharan Krishnamoorthi, Raman Sankar, Myung Joon Han, Se Kwon Kim, Kwang‐Yong Choi   +10 more
wiley   +1 more source

Transfer learning applications for anomaly detection in wind turbines [PDF]

Anomaly detection in wind turbines typically involves using normal behaviour models to detect faults early. However, training autoencoder models for each turbine is time-consuming and resource intensive. Thus, transfer learning becomes essential for wind
Roelofs, Cyriana Maria Antonia, Faulstich, Stefan, Roelofs, Cyriana M. A., Gück, Christian   +3 more
core   +1 more source

Terahertz‐Nanoscale Visualization of the Microscopic Spin‐Charge Architecture of Colossal Magnetoresistive Switching

Advanced Science, EarlyView.
This study employs cryogenic magneto‐terahertz nanoscopy to reveal the real‐space electrodynamics of the colossal magnetoresistance transition. By capturing the terahertz electrodynamic evolution of field‐driven spin switching, the work unveils the dissipative dynamics of emergent metallic states, providing a high‐frequency view of coupled spin‐charge ...
Samuel Haeuser, Randall K. Chan, Richard H. J. Kim, Joong‐Mok Park, Martin Mootz, Thomas Koschny, Jigang Wang   +6 more
wiley   +1 more source

Enhancing Anomaly Detection: Integrating Human Feedback Through Active Learning

reservedIn the realm of data-intensive fields, obtaining accurate labels becomes increasingly challenging, particularly in Anomaly Detection, where anomalies are context-dependent and difficult to define.
BAZ RADWAN, FAIROUZ
core  

Anomaly detection of multivariate time series for industrial machinery [PDF]

openIn industrial contexts, anomaly detection is crucial for identifying deviations from normal operating conditions, ensuring proactive maintenance, minimising downtime, and optimising the reliability and efficiency of industrial processes.
BEE, NICOLA
core  

Efficient Current‐Driven Perpendicular Magnetization Switching Through the Synergy of the Orbital and Spin Hall Effects

Advanced Science, EarlyView.
NiNb alloys enable efficient charge‐to‐spin conversion by combining the spin Hall effect of nickel with the orbital Hall effect of niobium. Composition tuning yields spin‐torque efficiencies of −1.4 to −1.7 and a non‐monotonic efficiency‐resistivity relationship, revealing orbital‐spin synergy beyond conventional spin Hall materials and offering a ...
Chuangwen Wu, Jing Zhou, Yibo Fan, Jiali Chen, Rongce Sun, Zonghao Deng, Zengxin Wei, Chuantong Ren, Xingen Zheng, Zhaowei Zhang, Jing Zhang, Jingfeng Li, Jinkui Zhao, Wei Jiang, Haibo Ke, Hao Wu, Weihua Wang   +16 more
wiley   +1 more source

On multipolar magnetic anomaly detection: multipolar signal subspaces, an analytical orthonormal basis, multipolar truncation and detection performance

EURASIP Journal on Advances in Signal Processing
In this paper, we consider the magnetic anomaly detection problem which aims to find ferromagnetic masses by estimating the weak perturbation they induce on local Earth’s magnetic field.
Clément Chenevas-Paule, Steeve Zozor, Laure-Line Rouve, Olivier J. J. Michel, Olivier Pinaud, Romain Kukla   +5 more
doaj   +1 more source

Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection [PDF]

, 2012
Detecting targets with unknown spectral signatures in hyperspectral imagery has been proven to be a topic of great interest in several applications. Because no knowledge about the targets of interest is assumed, this task is performed by searching the ...
VERACINI, TIZIANA
core  

Metal‐Half‐Salen Chemistry for One‐Pot Mineralization on Hydrophobic Polymer Membranes

Advanced Science, EarlyView.
Here we report a versatile one‐pot synthetic strategy for organic–inorganic composite membranes, which leverages a metal half‐Salen system to precisely govern the competing kinetics of coordination and hydrolysis. In contrast to conventional two‐step metal‐phenol chemistries, our integrated approach substantially simplifies the fabrication process ...
Rou‐Ming Wen, Hao Ye, Ming‐Bang Wu, Lu‐Lin Ma, Qi‐Hui Ye, Zi‐Hao Yuan, Yi Xie, Juming Yao, Hao‐Cheng Yang   +8 more
wiley   +1 more source

Gestational Hypoxia Disrupts Medial Ganglionic Eminence Progenitor Dynamics and Interneuron Development in Schizophrenia

Advanced Science, EarlyView.
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni, Qiancheng Zhang, Youhui Jiang, Huiying Yao, Chuqing Zhou, Xiaoyi Tian, Shiyingnan Gao, Jun Zhao, Xinyi Ren, Naxin Xu, Mengshan Fu, Liansheng Zhao, Xueyu Qi, Xueli Yu, Wanjun Guo, Sangmi Chung, Fan Guo, Tao Li   +17 more
wiley   +1 more source