Néel Tensor Torque in Polycrystalline Antiferromagnets
This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang+4 more
wiley +1 more source
Self-supervised learning for label-free segmentation in cardiac ultrasound. [PDF]
Ferreira DL+3 more
europepmc +1 more source
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning [PDF]
Thorsten Twellmann+4 more
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Perovskite Microwires for Room Temperature Exciton‐Polariton Neural Network
Exciton‐polaritons are explored as a novel platform for optical neuromorphic computing at room temperature using a monocrystalline perovskite waveguide. Demonstrating non‐equilibrium Bose‐Einstein condensation, this work achieves machine learning tasks such as classification and object detection, marking a key advance toward energy‐efficient, practical
Andrzej Opala+9 more
wiley +1 more source
Ambiguity-aware semi-supervised learning for leaf disease classification. [PDF]
Pham TC, Nguyen TN, Nguyen VD.
europepmc +1 more source
Adaptive Road Following using Self-Supervised Learning and Reverse Optical Flow
David Lieb+2 more
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Unsupervised and supervised machine learning in user modeling for intelligent learning environments [PDF]
Saleema Amershi, Cristina Conati
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A high‐resolution mechanoluminescence (ML) platform is achieved through chromatic filtration strategy using a conjugated polymer shell (F8BT) on copper‐doped zinc sulfide microparticles. This shell narrows the emission bandwidth, selectively filtering out blue noise, while simultaneously boosting intensity via ML photon recycling process.
Hong In Jeong+11 more
wiley +1 more source
Generative and Contrastive Self-Supervised Learning for Virulence Factor Identification Based on Protein-Protein Interaction Networks. [PDF]
Yao Y, Chen H, Wang J, Wang Y.
europepmc +1 more source
Efficient supervised learning in networks with binary synapses [PDF]
Carlo Baldassi+3 more
openalex +1 more source