Results 101 to 110 of about 634 (124)

Loss Behavior in Supervised Learning With Entangled States

Advanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl, Johanna Barzen, Marvin Bechtold, Frank Leymann, Lavinia Stiliadou   +4 more
wiley   +1 more source

Configuration Optimization Design of Magnetic Circuit for Large Magnetostrictive Devices Based on TbDyFe Alloy

Rare Metals, EarlyView.
ABSTRACT Reliable operation of high‐performance magnetostrictive devices, composed of the giant magnetostrictive material (GMM), that is, the TbDyFe alloy, critically depends on an optimally tailored bias magnetic field. Sufficient intensity and uniformity are essential to induce the ideal initial strain in the GMM, enabling peak reciprocating output ...
Jinan Yu, Yusheng Wen, Ziwei Feng, Yongbo Guo, Zhihao Zhang, Yu Qiao, Yangkun He, Shizhong An, Dazhuang Kang, Tianli Zhang, Jinghua Liu, Chengbao Jiang, J. M. D. Coey   +12 more
wiley   +1 more source

Topological‐defect‐featured order evolution of liquid crystals

Responsive Materials, EarlyView.
This review provides a comprehensive introduction to the recent advances in the topological‐defect‐featured order evolution of liquid crystal (LCs), including the stimulus‐driven dynamics of defects in nematic LCs, topological defect morphological transformation during phase transitions, advanced strategies for regulating and applications of ...
Jin‐Bing Wu, Daoxing Luo, Zhenghao Guo, Yan‐Qing Lu, Wei Hu   +4 more
wiley   +1 more source

MnBr2${\rm MnBr}_2$ on the Graphene on Ir(110) Substrate: Growth, Structure, and Super‐Moiré

Small, EarlyView.
The study realizes single‐layer MnBr2${\rm MnBr}_2$ via molecular beam epitaxy on graphene on Ir(110), unveiling a unique super‐moiré (“moiré of moirés”) formed by lattices of different symmetries. Remarkably, this super‐moiré is driven by a virtual interaction between non‐contacting layers.
Affan Safeer, Oktay Güleryüz, Nicolae Atodiresei, Wouter Jolie, Thomas Michely, Jeison Fischer   +5 more
wiley   +1 more source

Tunable Colloidal Synthesis Enabling μ‐ARPES on Individual Bismuth Nanocrystals

Small, EarlyView.
We report a highly controlled colloidal synthesis of Bi nanosheets with tunable lateral sizes (0.6–4.1 µm), hexagonal shape, and a layered single‐crystalline structure along the {00l} planes. The nanosheets feature high phase purity and excellent ambient stability. Remarkably, O2 promotes larger lateral growth with ultra‐smooth surfaces. This scalable,
Fagui He, Yan Yan Grisan Qiu, Simone Mearini, Vitaliy Feyer, Kevin Oldenburg, Rostyslav Lesyuk, Christian Klinke   +6 more
wiley   +1 more source

Phylogeny, species delimitation and machine learning bridge the gap between DNA sequences and morphology in the lichen genus Arctomia (Arctomiaceae, Ascomycota)

TAXON, EarlyView.
Abstract This study investigates species boundaries in the lichen genus Arctomia (Arctomiaceae, Ascomycota) using an integrative approach combining molecular phylogenetics, full Bayesian population delimitation, heuristic and model‐based species delimitation, and supervised machine learning applied to morphological data.
Stefan Ekman, Måns Svensson, Martin Westberg   +2 more
wiley   +1 more source

HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen, Shijie Liu, Quan Feng, Tiantian He, Ji Xu   +4 more
wiley   +1 more source

Reliability assessment of cyber physical distribution systems including sequential scenario simulation correction and recovery resource decisions

Energy Conversion and Economics, EarlyView.
Abstract With the deepening of research on smart grids, the distribution system has gradually evolved into a cyber‐physical distribution system (CPDS). The refined reliability modelling and assessment methods for CPDS are of great significance. This paper proposes an integrated reliability assessment framework combining distribution information system (
Wei Wu, Chengfu Wang, Yong Wang, Xiaoming Dong, Ming Yang, Yumin Zhang, Edris Pouresmaeil, Shimin Zhong, Shengqi Zhou, Xueshan Han   +9 more
wiley   +1 more source

Addressing ecological challenges from a quantum computing perspective

Methods in Ecology and Evolution, EarlyView.
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet, Maxime Dion, F. Guillaume Blanchet   +2 more
wiley   +1 more source

NePO: Neural Point Octrees for Large‐Scale Novel View Synthesis

Computer Graphics Forum, EarlyView.
We introduce Neural Point Octrees (NePOs), a scalable radiance field representation that organises point clouds hierarchically for efficient optimisation and rendering of large scale scenes. NePOs enable level of detail selection, joint refinement of appearance and camera poses, and real‐time rendering of hundreds of millions of points.
Noah Lewis, Darius Rückert, Marc Stamminger, Linus Franke   +3 more
wiley   +1 more source