Results 111 to 120 of about 3,052,442 (264)

Toward a Universal Czochralski Growth Model Leveraging Data‐Driven Techniques

Advanced Theory and Simulations, EarlyView.
This data‐driven study investigates Czochralski growth using Decision Trees, Symbolic Regression, ANN, and SHAP to assess the impact of 21 process and design parameters on crystal quality. Trained on 632 CFD simulation datasets across four crystalline materials, it demonstrates the feasibility of a universal Cz model applicable to various ...
Natasha Dropka, Milena Petkovic, Christiane Frank‐Rotsch, David Linke, Martin Holena   +4 more
wiley   +1 more source

Super‐Convergent Meshless Computations for Active Vibration Control of Bi‐Directional Functionally Graded Terfenol‐D Beams with Twisted Geometry

Advanced Theory and Simulations, EarlyView.
This study develops a superconvergent meshless method to analyze and control vibrations in twisted, bidirectional functionally graded Terfenol‐D beams. By optimizing magnetostrictive patch placement, it demonstrates effective vibration suppression under dynamic loads, highlighting the design potential of strategically graded materials in complex ...
Mukund A. Patil, Tanmoy Mukhopadhyay, Susmita Naskar   +2 more
wiley   +1 more source

Phase‐Change Materials for Volatile Threshold Resistive Switching and Neuronal Device Applications

Advanced Science, EarlyView.
Volatile threshold switching materials are an important pathway to simulate neuronal behavior. This review summarizes recent advances in the development of volatile resistive switching devices and neuronal oscillators based on three representative phase change materials, emphasizes the major challenges in this rapidly evolving field, and provides an ...
Huandong Chen, Jayakanth Ravichandran
wiley   +1 more source

A Novel Transfer Learning‐Based Hybrid EEG‐fNIRS Brain‐Computer Interface for Intracerebral Hemorrhage Rehabilitation

Advanced Science, EarlyView.
The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen, Jian Shi, Bo Tao, Xingwei Zhao, Zhixian Zhao, Shengjie Li, Yeguang Xu, Tao Ding, Peng Zhang, Qing Ye, Kuiyou Chen, Zhuojin Wu, Yingxin Tang, Wei Jiang, Kai Shu, Li Huang, Zheng You, Ping Zhang, Zhouping Tang   +18 more
wiley   +1 more source

Water, Collagen, and Lipid Content in the Human Skin and Muscles Assessed with Near‐Infrared Diffuse Reflectance Spectroscopy and Multi‐Spectral Optoacoustic Tomography

Advanced Science, EarlyView.
Authors present a novel approach combining multispectral optoacoustic tomography and diffuse reflectance spectroscopy for noninvasive assessment of body composition, including water, lipid, and collagen in skin and muscles. Its high molecular and spatial specificity offers improved diagnostic potential for conditions like obesity and sarcopenia ...
Denis Davydov, Alexey Kurnikov, Pavel Subochev, Gleb Budylin, Nikolay Fadeev, Ivan Filippov, Natalia Mokrysheva, Liliya Urusova, Daniel Razansky, Evgeny Shirshin   +9 more
wiley   +1 more source

Using rational logarithmic basis functions to solve singular differential equations

Electronic Journal of Differential Equations, 2016
Numerical methods based on polynomial approximation perform poorly when applied to singular initial value problems (IVPs). Hence, we are motivated to derive and implement numerical methods involving non-polynomial basis functions such as logarithmic ...
John J. Garwood, Samuel N. Jato
doaj  

Inverse Co‐Design of Mechanical And Sensory Properties in Soft Lattice Foams for Multifunctional Wearables

Advanced Science, EarlyView.
An inverse co‐design framework integrates neural networks and physics‐based models to engineer soft lattice foams with independently tunable mechanical and sensory properties. By layering architected foams and optimizing electrode placement, this method enables multifunctional wearable sensors.
Qinghua Guan, Benhui Dai, Harshal Sonar, Josie Hughes   +3 more
wiley   +1 more source

Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition

Advanced Science, EarlyView.
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang, Changhua Lai, Jinbiao Zhao, Junjun Wang   +3 more
wiley   +1 more source

Heat polynomial analogs for higher order evolution equations

Electronic Journal of Differential Equations, 2001
Polynomial solutions analogous to the heat polynomials are demonstrated for higher order linear homogeneous evolution equations with coefficients depending on the time variable.
G. N. Hile, Alexander Stanoyevitch
doaj  

Phase‐Space Generalized Brillouin Zone For Spatially Inhomogeneous Non‐Hermitian Systems

Advanced Science, EarlyView.
A novel phase‐space generalized Brillouin zone (GBZ) framework to devised captures the interplay of spatial inhomogeneity and non‐local non‐Hermitian effects. This reveals new degrees of freedom such as jumps in the bifurcated GBZ, as well as new routes for topological protection, with potential applications in characterizing inhomogeneous or ...
Qingya Li, Hui Jiang, Ching Hua Lee
wiley   +1 more source