Results 141 to 150 of about 193,905 (317)
The article contains a study of methods for solving integral equations in the context of acoustic problems. The methodology considered is applied to describe acoustic wave propagation and scattering.
Alexander B. Samokhin +1 more
doaj +1 more source
Fourier Integral Operators on Noncompact Symmetric Spaces of Real Rank One
Alexandru D. Ionescu
openalex +1 more source
Weighted Sobolev L2 estimates for a class of Fourier integral operators [PDF]
Michael Ruzhansky, Mitsuru Sugimoto
openalex +1 more source
A Robust Dual‐mode Self‐Monitoring Battery Thermal Management System via Bilayer Structural Design
An adaptive dual‐mode material capable of both evaporative cooling and photothermal preheating is developed. It achieves a cooling efficiency of 53.9%, surpassing existing evaporative cooling counterparts, and a self‐monitoring capability, making it ideal for electric vehicles, portable electronics, and grid‐scale energy storage.
Shanchi Wang +7 more
wiley +1 more source
The effect of a molecular‐level dual‐ionophilic chitosan passivation layer is investigated on a nanostructured paper electrode featuring an interconnected network structure of highly oxygen‐functionalized single‐walled carbon nanotubes (C‐NPE). This molecular coating enabled a high Coulombic efficiency (>99.0%) and stable cycling over 350 cycles at an ...
Jisoo Kim +11 more
wiley +1 more source
On the failure of the factorization condition for non-degenerate Fourier integral operators
Michael Ruzhansky
openalex +1 more source
Sharp Weak Type Inequality for Fractional Integral Operators Associated with d-Dimensional Walsh–Fourier Series [PDF]
Adam Osękowski
openalex +1 more source
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu +6 more
wiley +1 more source
In this study, we propose a new approach for inverse modeling of hydraulic tomography (HT) using the Fourier neural operator (FNO) as a surrogate forward model. FNO is a deep learning model that directly parameterizes the integral kernel in Fourier space
Quan Guo +5 more
doaj +1 more source
Birkhoff normal forms for Fourier integral operators II
Alexei Iantchenko, Johannes Sjoestrand
openalex +2 more sources

