Results 61 to 70 of about 4,358,705 (199)

Modeling technology of total field anomaly inversion by magnetic monopole array

open access: yesZhongguo Jianchuan Yanjiu
ObjectivesAs unmanned aerial vehicles are equipped with total field magnetic sensors to detect the total field anomaly above ships, it is necessary to establish a corresponding total field anomaly inversion model in order to evaluate the underwater ...
Chengbao GUO, Ziyan TAI
doaj   +1 more source

Emergent Spin Supersolids in Frustrated Quantum Materials

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Determinants of Maximum Magnetic Anomaly Detection Distance

open access: yesSensors
The maximum detection distance is usually the primary concern of magnetic anomaly detection (MAD). Intuition tells us that larger object size, stronger magnetization and finer measurement resolution guarantee a further detectable distance.
Hangcheng Li   +6 more
doaj   +1 more source

Magnetic Anomaly Detection Based on Full Connected Neural Network

open access: yesIEEE Access, 2019
Magnetic anomaly detection (MAD) has been widely used for detecting some hidden ferromagnetic objects. Orthonormal basis function (OBFs) detector is one of the most popular methods of MAD.
Shuchang Liu   +11 more
doaj   +1 more source

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

open access: yesAdvanced 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   +15 more
wiley   +1 more source

Enhancing Precision in Magnetic Map Interpolation for Regions with Sparse Data

open access: yesApplied Sciences
The high-precision magnetic anomaly reference map is a prerequisite for magnetic navigation and magnetic target detection. However, it is difficult to reflect the detailed characteristics of magnetic anomaly changes by using conventional data ...
Haibin Li   +9 more
doaj   +1 more source

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

open access: yesAdvanced 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   +10 more
wiley   +1 more source

Inversion of Magnetic Anomaly Based on Cross Attention Transformer

open access: yesIEEE Access
Three-dimensional magnetic anomaly inversion is regarded as one of the most effective methods for accurately retrieving subsurface magnetization distributions. However, existing deep learning methods for magnetic anomaly inversion suffer from issues such
Juntao Lei, Jieru Chi, Shandong Li
doaj   +1 more source

Anomaly detection in surveillance videos

open access: yes, 2019
The main task of this thesis is to review anomaly detection methods and then demonstrate the use of a state of the art approach to detect nudity as an anomaly in a surveillance video. The following contributions were made.
Aggrey, Eric Majuk
core  

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

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