Fe─NC porous oxygen reduction electrocatalysts are prepared employing a 2,4,6‐Triaminopyrimidine‐based porous organic polymer, a Mg2+ Lewis acid, and a low‐temperature cation exchange protocol. Using the polymer precursor achieves high pyrolysis yields and results in atomically dispersed FeNx sites. The resulting catalysts feature hierarchical porosity
Eliot Petitdemange +11 more
wiley +1 more source
Estimation of the characteristics of wave propagation in the water pipe using continuous wavelet transform. [PDF]
Lu P, Chen S, Cui D, He Y.
europepmc +1 more source
Morlet Wavelet transformed holograms for numerical adaptive view-based reconstruction
Kartik Viswanathan +2 more
openalex +1 more source
Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee +4 more
wiley +1 more source
Correction: A hybrid approach for regionalization of precipitation based on maximal discrete wavelet transform and growing neural gas network clustering. [PDF]
Tao X, Ben M, Xuan HCY, Arshaghi A.
europepmc +1 more source
The discrete wavelet transform: wedding the a trous and Mallat algorithms
M. Shensa
semanticscholar +1 more source
Stationary wavelet transform based radiometric error correction technique for NOAA-AVHRR sensor data
V. Rajeswari +2 more
openalex +2 more sources
Three‐dimensional Antimony Sulfide Based Flat Optics
This work presents the development of a grayscale electron beam lithography (g‐EBL) method for fabricating antimony trisulfide (Sb2S3) nanostructures with customizable 3D profiles. The refractive index of g‐EBL patterned Sb2S3 is determined based on the synergy of genetic algorithm and transfer matrix method.
Wei Wang +18 more
wiley +1 more source
Deep learning based medical image compression using cross attention learning and wavelet transform. [PDF]
Dai F.
europepmc +1 more source

