Results 41 to 50 of about 15,138 (216)

Low‐Loss Parowax‐Imprinted Diffractive Neural Network for Orbital Angular Momentum Terahertz Holographic Imaging

Advanced Photonics Research, EarlyView.
This work introduces a low‐loss diffractive neural network, fabricated using an imprinting technique with parowax material, for recognizing and manipulating the topological charge of orbital angular momentum (OAM) waves. It is also demonstrated that the low‐loss diffractive network can perform mathematical operations based on the topological charges of
Wei Jia, Miguel A. Gomez, Steve Blair, Michael A. Scarpulla, Berardi Sensale‐Rodriguez   +4 more
wiley   +1 more source

Digitized Phase‐Change Material Heterostack for Transmissive Diffractive Optical Neural Network

Advanced Photonics Research, EarlyView.
A phase‐change‐material‐based digitized heterostack is experimentally demonstrated and theoretically analyzed for future energy‐efficient, fast reconfigured, and compact transmissive diffractive optical neural networks. All‐optical and fully reconfigurable transmissive diffractive optical neural network (DONN) architectures emerge as high‐throughput ...
Ruiyang Chen, Jichao Fan, Cunxi Yu, Weilu Gao   +3 more
wiley   +1 more source

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

Advanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park   +11 more
wiley   +1 more source

Electro‐Thermal Response of Thin Film Heaters Based on Embedded Periodic Metallic Mesh

Advanced Theory and Simulations, EarlyView.
“This study systematically investigates the effect of periodic metallic mesh topology on electrical and electro‐thermal behaviours of thin thermal heaters. The derived closed‐form expressions capture the dependence of sheet resistance on design parameters, providing a crucial tool for rapidly exploring a vast design space and accelerating design and ...
Dimitrios Charaklias, Dayuan Qiang, Robert Dorey, Iman Mohagheghian   +3 more
wiley   +1 more source

Exploration of Half‐Cycle Length of Converging Circular Wavy Duct with Diverging‐Outlet: Turbulent Water Dynamics

Advanced Theory and Simulations, EarlyView.
Increasing half‐cycles intensifies turbulence due to enhanced vortex interactions and flow separation at the diverged‐outlets. Longer wavy ducts are shown to increase flow acceleration, resulting in greater output velocities and more turbulent‐kinetic‐energy production. Wave‐period plays a crucial role in determining turbulent intensity, with amplitude
I. L. Animasaun, Taseer Muhammad, Se‐Jin Yook   +2 more
wiley   +1 more source

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation

Advanced Theory and Simulations, EarlyView.
FMint is introduced as a multi‐modal foundation model that integrates human‐designed solvers and data‐driven methods for fast, accurate simulation of dynamical systems. FMint leverages in‐context learning within a transformer‐based framework to refine coarse numerical solutions.
Zezheng Song, Jiaxin Yuan, Haizhao Yang
wiley   +1 more source

Assessment and Comparative Study of Free and Commercial Numerical Software Packages for Lithium‐Ion Battery Modeling

Advanced Theory and Simulations, EarlyView.
This study evaluates the simulation capabilities of lithium‐ion battery (LIB) electrochemical simulation software packages. The benchmark simulation results reveal the impacts of parameter sensitivity to solver performance and stability. The guidelines to troubleshooting common solver failures at high current rates lowers the steep learning curve to ...
Kenneth C. Nwanoro, Michael P. Mercer, Harry E. Hoster   +2 more
wiley   +1 more source

Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics

Advanced Science, EarlyView.
This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch, Brittany Scheid, Kathryn A Davis, Brian Litt, Arian Ashourvan   +4 more
wiley   +1 more source

Exploring the Latent Information in Spatial Transcriptomics Data via Multi‐View Graph Convolutional Network Based on Implicit Contrastive Learning

Advanced Science, EarlyView.
STMIGCL is an implicit contrastive learning‐based multi‐view graph convolutional network framework designed for downstream tasks such as spatial domain recognition, trajectory inference, and spatially variable gene identification. By combining multi‐view learning with contrastive learning and employing contrastive learning methods that enhance contrast
Sheng Ren, Xingyu Liao, Farong Liu, Jie Li, Xin Gao, Bin Yu   +5 more
wiley   +1 more source

Topology‐Optimized Bound States in the Continuum with High‐Q Acoustic Field Enhancement

Advanced Science, EarlyView.
This study presents a topology optimization method for acoustic metamaterials, achieving high‐Q resonances by redesigning a single unit cell within a periodic array. The design enables precise pressure confinement and energy trapping, validated through experiments.
Weibai Li, Kazem Ghabraie, Xiaodong Huang   +2 more
wiley   +1 more source