Results 101 to 110 of about 327,371 (280)

A Compact Unconditionally Stable Method for Time-Domain Maxwell's Equations

International Journal of Antennas and Propagation, 2013
Higher order unconditionally stable methods are effective ways for simulating field behaviors of electromagnetic problems since they are free of Courant-Friedrich-Levy conditions. The development of accurate schemes with less computational expenditure is
Zhuo Su, Yongqin Yang, Yunliang Long
doaj   +1 more source

Tough, Ductile, and Strong Hard‐Soft Cementitious Composite Enabled by Multi‐Material Additive Manufacturing

Advanced Materials, EarlyView.
Drawing inspiration from the layered hard‐soft architecture found in sea sponges, this work establishes a new framework for architected cementitious composites (ACC) through multi‐material additive manufacturing (MMAM) process. The integration of mortar and elastomer phases into layered architectures enables synergistic toughening mechanisms, including
Aimane Najmeddine, Shashank Gupta, William Makinen, Zayvinn Lin, Krystal Delnoce, Reza Moini   +5 more
wiley   +1 more source

Flexible Dielectric Acoustic Resonator Patch for Tissue Regeneration

Advanced Materials, EarlyView.
A flexible dielectric acoustic resonator patch enables MHz‐range ultrasound generation through resonance amplification without using piezoelectric materials. Conformal integration on a curved substrate allows efficient acoustic delivery to tissue‐mimicking environments.
Donyoung Kang, Byeongseok Ryu, Sujeong Ahn, Junhyub Kim, Myeonghun Jang, Jeong Ho Cho, Won‐Gun Koh, Hyungsuk Lee   +7 more
wiley   +1 more source

Metamaterial Antennas Enhance MRI of the Eye and Occipital Brain

Advanced Materials, EarlyView.
A radiofrequency antenna platform comprising planar and bend configurations is developed, incorporating structurally integrated epsilon‐negative metamaterial unit cells to enhance MRI. These antennas enable high‐resolution in vivo human MRI of the eye, orbit, and occipital brain. Comprehensive validation, including simulations, phantom experiments, SAR,
Nandita Saha, Bilguun Nurzed, Mostafa Berangi, Andre Kuehne, Helmar Waiczies, Igor Fabian Tellez Ceja, Xiang Hu, Thomas Gladytz, Lisa Krenz, Dave Huebler, Beate Endemann, Claudia Brockmann, Ebba Beller, Oliver Stachs, Thoralf Niendorf   +14 more
wiley   +1 more source

Localized Temperature Monitoring in Mouse Brain during Light Delivery via a Non‐Planar Tapered Fiber‐Integrated µRTD Sensor

Advanced Materials, EarlyView.
We report a multifunctional tapered optical fiber integrating a conformal micro‐resistance temperature detector (µRTD) for local, real‐time thermometry during optical stimulation. The platform combines light‐delivery and temperature sensing within a minimally invasive footprint, enabling detection of sub‐degree cortical heating under representative ...
Antonio Balena, Marco Bianco, Barbara Spagnolo, Muhammad Fayyaz Kashif, Alberto Bramati, Massimo De Vittorio, Ferruccio Pisanello   +6 more
wiley   +1 more source

A compact finite difference scheme for solving fractional Black-Scholes option pricing model

Journal of Inequalities and Applications
In this work, we introduce an efficient compact finite difference (CFD) method for solving the time-fractional Black-Scholes (TFBS) option pricing model. The time-fractional derivative is described using Caputo-Fabrizio (C-F) fractional derivative, and a
Yuelong Feng, Xindong Zhang, Yan Chen, Leilei Wei   +3 more
doaj   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

A Novel Neural Network-Based Approach Comparable to High-Precision Finite Difference Methods

Axioms
Deep learning methods using neural networks for solving partial differential equations (PDEs) have emerged as a new paradigm. However, many of these methods approximate solutions by optimizing loss functions, often encountering convergence issues and ...
Fanghua Pei, Fujun Cao, Yongbin Ge
doaj   +1 more source

Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization

Advanced Materials, EarlyView.
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab, Jack F. Murphy, Michael Bartolf‐Kopp, Jenny C‐C Hsin, Alice Chernaik, Frank McCaughan, Yan Yan Shery Huang, Tomasz Jungst, Jürgen Groll   +8 more
wiley   +1 more source

Algorithms based on DQM with new sets of base functions for solving parabolic partial differential equations in $(2+1)$ dimension

, 2016
This paper deals with the numerical computations of two space dimensional time dependent parabolic partial differential equations by adopting adopting an optimal five stage fourth-order strong stability preserving Runge Kutta (SSP-RK54) scheme for time ...
Kumar, P., Singh, B. K.
core