Results 101 to 110 of about 86,617 (302)

Emergent Topological Magnons and Thermal Hall Effect in 2D Filling‐Enforced Fully Compensated Ferrimagnets

Advanced Functional Materials, EarlyView.
Schematic illustration of ferroelectric‐intercalation‐driven transitions in magnetic configurations and magnonic topological phases, together with the symmetry relations of magnonic Berry curvature. ABSTRACT Magnons in collinear magnets with vanishing net magnetization offer unique advantages for spin transport, including ultrafast dynamics and ...
Yingxi Bai, Bo Yuan, Zhenzhou Guo, Jian Zhang, Ying Dai, Baibiao Huang, Xiaotian Wang, Chengwang Niu, Gang Zhang   +8 more
wiley   +1 more source

Methane Concentration Inversion Based on Multi-Feature Fusion and Stacking Integration

Sensors
To address the issue of relatively simple features and methods used in methane concentration inversion, which leads to low overall accuracy, this study proposes a methane concentration inversion method based on multi-feature fusion and Stacking ensemble ...
Yanling Han, Wei Li, Congqin Yi, Ge Song, Yun Zhang   +4 more
doaj   +1 more source

Mechanical Behavior and Fracture Mechanisms of MXene/PVDF Nanocomponsites: In Situ Characterization and Multiscale Analysis

Advanced Functional Materials, EarlyView.
Multiscale experiments and modeling reveal how Ti3C2Tx MXene nanosheets reinforce PVDF nanocomposites. An optimal MXene loading (∼1 wt.%) nearly doubles tensile strength through efficient stress transfer, flake alignment, and crack‐deflection mechanisms, transforming ductile polymer behavior into a controlled multi‐stage fracture pathway which aligns ...
Bita Soltan Mohammadlou, James FitzPatrick, Li Meng, Kateryna Shevchuk, Ahmad Najafi, Yury Gogotsi   +5 more
wiley   +1 more source

Establishment and comparison of prediction models for soil black carbon content in urban areas based on Vis–NIR data and environmental covariates

International Journal of Digital Earth
Rapid urbanization has led to significant accumulation of black carbon (BC) in urban soils, threatening ecological safety and human health. Existing methods for quantifying soil BC remain limited by complexity and poor applicability at large scale.
Xiuwen Zhong, Long Guo, Peng Fu, Zhenfeng Shao, Chaoya Dang, Qingwei Zhuang, Peiqing Jing, Xiaodi Xu, Jinyang Wang, Li Tan, Yingyue Pan   +10 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

PRAGMALINGUISTIC ASPECTS OF SYRIAN ADDRESS INVERSION

Remaining unnoticed behind the ordinary and typical use of address terms, address inversion, put forward by Renzi ]1968[, should be seen as a special type of reciprocity as it does not designate the addressee ]Braun 1988: 294[. The present paper attempts
Khalil A.A.
core  

Gauss-Newton inversion of ground transient electromagnetic data using COMSOL multiphysics

Scientific Reports
This study presents a Gauss-Newton inversion framework for Transient Electromagnetic (TEM) data based on the finite element software COMSOL Multiphysics.
Fan Li, Peng Wang, Kai Lu
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Overparameterization Improves StyleGAN Inversion

, 2022
Deep generative models like StyleGAN hold the promise of semantic image editing: modifying images by their content, rather than their pixel values. Unfortunately, working with arbitrary images requires inverting the StyleGAN generator, which has remained
Lalonde, Jean-François, Smith, Ryan, Lessard, Alexandre, Poirier-Ginter, Yohan   +3 more
core  

Formation resistivity inversion and uncertainty analysis based on hybrid machine learning model

四川大学学报. 自然科学版
In the process of extended reach wells and horizontal wells， it is of great significance for geosteering work to quickly and accurately extract stratigraphic information from the logging data of LWD tools by establishing an effective inversion model ...
QIAN Yu-Qing, HE Zhi-Li
doaj