A series of amphiphilic heteroleptic tris(phthalocyaninato) europium complexes with hydrophilic poly(oxyethylene) heads and hydrophobic alkoxy tails {Pc[(OC2H4)2OCH3]8}Eu{Pc[(OC2H4)2OCH3]8}Eu[Pc(OCnH2n + 1)8] (n = 6, 8, 10,12) (1-4) were designed prepared from the reaction between homoleptic bis(phthalocyaninato) compound {Pc[(OC2H4)2OCH3]8}Eu{Pc[(OC2H4)2OCH3]8} metal-free 2,3,9,10,16,17,23,24-octakis(alkoxy)phthalocyanine H2Pc(OCnH2n 1)8 in presence Eu(acac)3.H2O (Hacac acetylacetone)...

The synthesis of peripherally octa-substituted phthalocyanine compounds with eight strong electron-withdrawing hexylsulfonyl groups was systematically studied. Three new phthalocyanines M[Pc(SO2C6H13)8] [Pc(SO2C6H13)8 = 2,3,9,10,16,17,23,24-octakis(hexylsulfonyl)phthalocyaninate; M 2H (1), Cu (2), Zn (3)] were synthesized via direct cyclic tetramerization 4,5-di(hexylsulfonyl)phthalonitrile or through a diiminoisoindoline intermediate. Compounds 1–3 could alternatively be prepared by...

Abstract We propose a deep‐learning method for automatically decomposing noisy Monte Carlo renderings into components that kernel‐predicting denoisers can denoise more effectively. In our model, neural decomposition module learns to predict and corresponding feature maps, which are consecutively reconstructed by denoising module. The predicted based on statistics aggregated at the pixel level renderer. Denoising these individually allows use of per‐component kernels adapt each component's...

Three novel mixed (phthalocyaninato)(porphyrinato) yttrium double-decker complexes appended with one metal-free porphyrin chromophore at the para, meta, and ortho position, respectively, of meso-phenyl group ligand in unit through ester linkage, 3-5, have been designed, synthesized, spectroscopically characterized. The photophysical properties these three isomeric tetrapyrrole triads were comparatively investigated along model compounds tetrakis(4-butyl)porphyrin H(2)TBPP (1)...

Mangrove forests are essential for coastal protection and carbon sequestration, yet accurately mapping their distribution remains challenging due to spectral similarities with other vegetation. This study introduces a novel unsupervised learning method, the Elite Individual Adaptive Genetic Algorithm-Semantic Inference (EIAGA-S), designed high-precision semantic segmentation of mangrove using remote sensing images without need ground truth samples. EIAGA-S integrates an adaptive Algorithm...

Mangroves play a crucial ecological and economic role but face significant threats, particularly on Hainan Island, which has the highest mangrove species diversity in China. Remote sensing AI techniques offer potential solutions for monitoring these ecosystems, challenges persist due to difficult access field sampling. To address issues, we propose novel model combining Mangrove Rough Extraction Decision Tree (MREDT) Dynamic Attention Convolutional Network (DACN-M). Initially, used drones...

A novel dimeric supramolecular structure, {Zn[Pc(α-OC5H11)4]·H2O}2, formed from two molecules of 1,8,15,22-tetrakis(3-pentyloxy)phthalocyaninato zinc complex was revealed by X-ray single crystal analysis. With the help oxygen atom alkoxy substituent attached at nonperipheral position phthalocyanine ring, each H2O forms hydrogen bonds, connecting to form a pseudo-double-decker structure in crystals with ring-to-ring separation 3.728 Å. This, best our knowledge, represents first example...

Abstract Unsymmetrical (phthalocyaninato)zinc complex 1 was synthesized by transesterification and self‐assembled into ring‐shaped nanostructures with J ‐type aggregation at the chloroform/water interface star‐shaped H in chloroform/methanol system, respectively. Its self‐assembly properties have been studied spectroscopic, transmission electron microscopy (TEM), scanning (SEM), X‐ray diffraction (XRD) techniques. The were found to better semiconducting than due more effective intermolecular...

Abstract We propose a method for constructing feature sets that significantly improve the quality of neural denoisers Monte Carlo renderings with volumetric content. Starting from large set hand‐crafted features, we selection process to identify pruned near‐optimal subsets. While naive approach would require training and testing separate denoiser every possible combination, our requires only single probe task. Moreover, approximate solution has an asymptotic complexity is quadratic number...

Abstract We present a kernel‐predicting neural denoising method for path‐traced deep‐Z images that facilitates their usage in animation and visual effects production. Deep‐Z provide enhanced flexibility during compositing as they contain color, opacity, other rendered data at multiple depth‐resolved bins within each pixel. However, are subject to noise, rendering until convergence is prohibitively expensive. The current state of the art yields objectionable artifacts, methods incapable...

Remote sensing data has found widespread applications in areas such as military monitoring, environmental management, and urban planning. However, the sensitive nature commercial value of make them vulnerable to security risks like unauthorized access, piracy, tampering. To protect confidentiality integrity remote data, researchers have explored various encryption techniques, including traditional ciphers, chaotic mapping, deep learning. While some progress been made, there is still a lack...

Remote sensing data has found widespread applications in areas such as military monitoring, environmental management, and urban planning. However, the sensitive nature commercial value of make them vulnerable to security risks like unauthorized access, piracy, tampering. To protect confidentiality integrity remote data, researchers have explored various encryption techniques, including traditional ciphers, chaotic mapping, deep learning. While some progress been made, there is still a lack...

Third-order nonlinear optical properties of three isomeric tetrapyrrole triads, i.e. mixed (porphyrinato)(phthalocyaninato) yttrium double-decker complexes appended with one metal free porphyrin chromophore at the <i>para</i>,<i> meta</i>, and <i>ortho</i>position, respectively, meso-phenyl group ligand in unit through ester linkage, 3-5, were comparatively investigated along model compounds meso-tetrakis(4-<i>tert</i>-butylphenyl) H₂TBPP (1)...

Denoising is an integral part of production rendering pipelines that use Monte-Carlo (MC) path tracing. Machine learning based denoisers have been proven to effectively remove the residual noise and produce a clean image. However, denoising volumetric remains problem due lack useful features large-scale volume datasets. We seen issues such as over-blurring temporal flickering in denoised sequence. In this work, we modify renderer generate potential might improve quality, then run...