Results 61 to 70 of about 639,657 (247)

Optimal Design for Bipolar Reverse-Wound Magnetic Coupler in Wireless Power Transfer Systems Considering Misalignment Tolerance and Wire Consumption

Eng
To address the issue of transmission performance degradation caused by misalignment between the transmitting and receiving coils in wireless power transfer (WPT) systems, the optimal design for a bipolar reverse-wound magnetic coupler is proposed in this
Haiqing Gan, Huiyu Miao, Xiaodong Yuan, Mingshen Wang, Han Liu   +4 more
doaj   +1 more source

Exchange rate misalignment estimates – Sources of differences [PDF]

We study the differences in currency misalignment estimates obtained from alternative datasets derived from two International Comparison Program (ICP) surveys.
Fujii, Eiji, Cheung , Yin-Wong
core  

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source

A Generic Matrix Method to Model the Magnetics of Multi-Coil Air-Cored Inductive Power Transfer Systems

Energies, 2017
This paper deals with a generic methodology to evaluate the magnetic parameters of contactless power transfer systems. Neumann’s integral has been used to create a matrix method that can model the magnetics of single coils (circle, square, rectangle ...
Prasanth Venugopal, Soumya Bandyopadhyay, Pavol Bauer, Jan Abraham Ferreira   +3 more
doaj   +1 more source

Source misalignment in multimode polymer tapered waveguides for optical backplanes [PDF]

, 2007
Polymer tapered multimode waveguides were modeled using the finite difference wide-angle beam propagation method to investigate whether tapered input waveguide couplers decreasing in width away from the waveguide entrance give improved tolerance to ...
Rashed, AM, Selviah, DR
core  

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

Implications of real exchange rate misalignment in developing countries: theory, empirical evidence and application to growth performance in Zimbabwe [PDF]

The influence of exchange rate signals in an economy is very powerful and often pervasive. Moreover, sustained real exchange rate overvaluation, will, by distorting resource allocation away from productive activities, eventually lead to drastic ...
Ndlela, Thandinkosi
core  

Toward High‐Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography

Advanced Science, EarlyView.
Electron beam lithography (EBL) enables sub‐micron patterning of polymer‐based neural implants, overcoming the resolution limits of optical lithography. By addressing challenges such as charging, non‐planarity, and substrate heating, it supports higher channel density, improved miniaturization, and better long‐term tissue integration.
Hanna Karlsson‐Fernberg, Maria Asplund
wiley   +1 more source

Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue

Advanced Science, EarlyView.
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg, Thijs J. van der Burg, Stijn Y. Kolkman, Santiago Saavedra Castano, David Fernandez Rivas, Anke Klingner, Roger M. L. M. Lomme, Lucas S. Joziasse, Dorothee Wasserberg, H. Remco Liefers, Doron Ben Ami, Udi Sadeh, Oded Shoseyov, Giulio Dagnino, Pascal Jonkheijm, Jurgen J. Fütterer, Stefano Stramigioli, J. Frank W. Nijsen, Michiel C. Warlé, Islam S. M. Khalil   +19 more
wiley   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source