Results 131 to 140 of about 188,559 (336)

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Existence of quadratic-mean almost periodic solutions to some stochastic hyperbolic differential equations

Electronic Journal of Differential Equations, 2009
In this paper we obtain the existence of quadratic-mean almost periodic solutions to some classes of partial hyperbolic stochastic differential equations.
Paul H. Bezandry, Toka Diagana
doaj  

Molecular Layer Deposited Aluminum‐Based Hybrid Resist for High‐Resolution Nanolithography and Direct Ultra‐High Aspect Ratio Pattern Transfer

Advanced Materials Technologies, EarlyView.
This study demonstrates an aluminum‐based hybrid photoresist synthesized via molecular layer deposition (MLD) using trimethylaluminum and hydroquinone. The resist achieves sub‐20 nm resolution and virtually infinite silicon etch selectivity, enabling 40 nm‐wide, micrometer‐tall nanostructures.
Won‐Il Lee, Dan N. Le, Matthew Yen, Melinda Lin, Ashwanth Subramanian, Xiao Tong, Nikhil Tiwale, Jiyoung Kim, Chang‐Yong Nam   +8 more
wiley   +1 more source

Topological dimensions of random attractors for a stochastic reaction-diffusion equation with delay

Electronic Journal of Qualitative Theory of Differential Equations
The aim of this paper is to obtain an estimation of Hausdorff as well as fractal dimensions of random attractors for a stochastic reaction-diffusion equation with delay.
Wenjie Hu, Tomas Caraballo
doaj   +1 more source

Lattice Structures for Bone Replacement: The Intersection of Bone Biomechanics, Lattice Design, and Additive Manufacturing

Advanced Materials Technologies, EarlyView.
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias, Maxwell J. Munford, Frederik C.H. Masure, Richard J. van Arkel, Reece N Oosterbeek   +4 more
wiley   +1 more source

Regularized homogenization on irregularly perforated domains

Networks and Heterogeneous Media
We studied stochastic homogenization of a quasi-linear parabolic partial differential equation (PDE) with nonlinear microscopic Robin conditions on a perforated domain.
Martin Heida, Benedikt Jahnel, Anh Duc Vu   +2 more
doaj   +1 more source

Enhanced Trapping with an Optimized Graphene‐Based Bowtie Plasmonic Nanotweezer: Design, Analysis, and Bioanalytical Applications

Advanced Photonics Research, EarlyView.
A graphene‐based bowtie plasmonic nanotweezer is designed and optimized using particle swarm optimization and transfer matrix analysis. The structure achieves strong field confinement, delivering trapping forces up to 6 nN W−1 for 10 nm bioparticles with sixfold lower power requirements than conventional designs.
Saba Ebrahimpanah, Mohammad Hazhir Mozaffari, Ali Farmani   +2 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth

Advanced Theory and Simulations, EarlyView.
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira, Milena Petković, Robert Menzel, Natasha Dropka   +3 more
wiley   +1 more source

Stochastic partial integral-differential equations with divergence terms [PDF]

, 2020
Chi Hong Wong, Xue Yang, Jing Zhang
openalex   +1 more source