Results 111 to 120 of about 94,152 (277)
Examples of exponential instability for elliptic inverse problems
, 2003 38 ...
Di Cristo, Michele, Rondi, Luca
openaire +2 more sources
Nano Select, EarlyView.In moderately hole‐doped Sr1−xKxFe2As2${\rm Sr}_{1-x}{\rm K}_x{\rm Fe}_2{\rm As}_2$ system the pairing state is s+−${\rm s}^{+-}$ wave pairing state mediated by spin fluctuations. As the SDW order parameter increases, TC${\rm T}_C$ decreases and TM${\rm T}_M$ increases. As temperature increases, the SDW order parameter decreases and vanishes at TM${\rm
Gedefaw Mebratie +2 more
wiley +1 more source
Turbulent snow transport and accumulation: New reduced‐order models and diagnostics
Quarterly Journal of the Royal Meteorological Society, EarlyView.Our new reduced‐order models of snow particle transport provide high‐fidelity calculations of snow accumulation in turbulent flows at significantly reduced computational costs. Additional accumulation diagnostics from the reduced‐order model predict complex patterns of particle concentration in turbulent boundary layers via coherent flow structures in ...
Nikolas O. Aksamit +3 more
wiley +1 more source
Causality-Aware Training of Physics-Informed Neural Networks for Solving Inverse Problems
MathematicsInverse Physics-Informed Neural Networks (inverse PINNs) offer a robust framework for solving inverse problems governed by partial differential equations (PDEs), particularly in scenarios with limited or noisy data. However, conventional inverse PINNs do
Jaeseung Kim, Hwijae Son
doaj +1 more source
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT As non‐terrestrial networks (NTNs) become integral to future 6G systems, ensuring seamless connectivity and service continuity over low Earth orbit (LEO) satellite constellations is essential. This work investigates the impact of open radio access network (RAN) functional splits on handover performance in NTNs, focusing on minimizing service ...
Siva Satya Sri Ganesh Seeram +3 more
wiley +1 more source
Flexible Electronics in Robotics Systems: From Devices to Applications
SmartBot, EarlyView.This review presents the recent advancements in flexible electronics, and provides a systematic review of their integration and application in robotic systems. The review emphasizes the pivotal role flexible electronics plays in the field of intelligent robotics and outlines future development prospects for this promising technology. ABSTRACT The rapid
Xuyang An +10 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley +1 more source
Coevolutionary Neural Dynamics With Learnable Parameters for Nonconvex Optimisation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Nonconvex optimisation plays a crucial role in science and industry. However, existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems, lacking robustness in noise scenarios. To address these limitations, we aim to develop a robust, efficient and globally convergent solver for ...
Yipiao Chen +3 more
wiley +1 more source
IET Power Electronics, EarlyView.This paper outlines the methodology for predicting power loss in magnetic materials. A neural network based method is introduced, which adopts a long short‐term memory network, expressing the core loss as a function of magnetic flux density in the frequency domain, temperature, frequency, and classification of the waveforms.
Dixant Bikal Sapkota +3 more
wiley +1 more source