Abstract Heterointerface engineering for different identifiable length scales has emerged as a key research area obtaining materials capable of high‐performance electromagnetic wave absorption; however, achieving controllable architectural and compositional complexity in nanomaterials with environmental thermal stabilities remains challenging. Herein, metal‐containing silicon carbonitride (SiCN/M) nanocomposite ceramics multiphase heterointerfaces were situ synthesized via coordination...

Abstract The multiscale structural engineering strategy presents a powerful method for tailoring the attributes of materials at various levels, enabling flexible control and manipulation their electromagnetic properties. Nonetheless, orchestrating architecture polymer‐derived carbon aerogels specifically microwave absorption poses significant challenges. Herein, aramid‐derived hard nanofiber aerogel microspheres (CNFAMs) featuring hierarchical skin‐core structure are fabricated through...

The symmetry in a polymorph is one of the most important elements for determining inherent lattice nature. MnO2 host tends to high-symmetry MnO6 octahedra as result electronic structure t2g3 eg0 Mn4+ ions, displaying an ordered accompanying with poor polarization loss and limiting its application toward high-performance microwave absorbers. Here, pseudo-Jahn-Teller (PJT) distortion PJT disordering design abundant self-forming interfaces local magnetic domains monoclinic birnessite-MnO2 first...

Graphene-based aerogels have garnered considerable attention for their lightweight and efficient microwave absorption (MA) properties; however, optimizing the relationship between impedance matching attenuation capability at low frequencies remains a challenge. In this study, three-dimensional (3D) silicon carbonitride (SiCN) nanoceramic-coated graphene aerogel with conformal heterogeneous interfaces is constructed by precursor infiltration pyrolysis to optimize MA performance frequencies....

The cellular structure of heteroatom-doped graphene aerogel improves the impedance matching, and polarization gene dominated cell walls generate a great quantity sites, synergistically promoting its microwave attenuation.

This work presents the first recyclable multi-layer films with an impedance optimization design, created via simulation screening, that consists of ordered and arranged to enhance absorption bandwidth from 0 GHz 2.17 GHz.

Abstract The development of high‐performance microwave absorption materials in harsh environment is highly desirable but challenging. Herein, lightweight silicon oxycarbonitride (SiOCN) ceramic aerogels were fabricated by the pyrolysis bridged polysilsesquioxane aerogels, which was presynthesized a sol–gel method followed vacuum drying. structural order and content free carbon phase determined temperature play critical role modulating impedance matching attenuation capacity. as‐prepared...

The surface concave structure and inner cavity improve impedance matching multiple reflections/scattering. hetero-nanodomains create dipolar interfacial polarizations.

Abstract Polymer‐derived ceramics (PDCs), known for their exceptional thermal stability and adjustable dielectric characteristics, show great promise in electromagnetic wave absorption applications under extreme temperature conditions. Their multiphase multi‐heterointerface structures also enable effective low‐frequency 5G applications, a crucial yet underexplored capability. In this study, nickel‐modified SiCN (SiCN/Ni) were synthesized through coordination crosslinking of trace amounts...

The novel magneto-electric effect, thermoelectric properties, and strong piezoelectricity exhibited by tellurium-based (Te) materials render them a promising candidate for the next generation of electromagnetic wave absorption (EWA) materials. Therefore,...

Abstract Intelligent electromagnetic materials featuring controllable and adaptive response characteristics play a vital role in managing complex environments. However, effectively modulating the wave responses from transmission to absorption, advancing interference shielding through external stimuli, remains challenging. Herein, novel moisture‐activated dual‐mode switchable pattern is demonstrated hygroscopic lithium chloride@graphene aerogel (LiCl@GA). Benefiting ordered hierarchical...

Liver cancer is one of the most common malignant tumours in humans, and a large proportion patients are diagnosed at an advanced stage due to rapid growth distant metastasis; thus, there urgent need identify critical genes involved development liver cancer. In this study, we investigated role RING finger protein 157 (RNF157) proliferation related mechanisms. First, used bioinformatics counting for database mining RNF157 expression hepatocellular carcinoma paracancerous tissues its...

Nanozyme-mediated nanocatalytic therapy, by mimicking the activity of redox enzymes, generates highly toxic reactive oxygen species (ROS) within tumor cells, thereby opening a pathway for tumor-specific therapy. However, achieving satisfactory therapeutic outcomes with nanozymes remains challenging due to inherent complexity microenvironment (TME). In this context, we designed two-dimensional layered double hydroxide (LDH) nanozyme loaded Au nanoparticles, while incorporating bioactive Ca2+...

The feasibility design method with multidisciplinary and multiobjective optimization is applied in the research of lightweight NVH performances crankshaft high-power marine reciprocating compressor. Opt-LHD explored to obtain experimental scheme perform data sampling. elliptical basis function neural network (EBFNN) model considering modal frequency, static strength, torsional vibration angular displacement, built. Deterministic reliability for are operated separately. Multi-island genetic...

To evaluate the potential improvement of prediction performance a proposed double branch multimodality-contribution-aware TripNet (MCAT) in microvascular invasion (MVI) hepatocellular carcinoma (HCC) based on small sample. In this retrospective study, 121 HCCs from 103 consecutive patients were included, with 44 MVI positive and 77 negative, respectively. A MCAT model aiming to improve accuracy deep neural network alleviate negative effect sample size was verified among comparisons between...

This study proposes a new uncertain optimization algorithm to suppress vibration of the crankshaft system. In this algorithm, interval expression with random-interval hybrid variables is obtained by confidence level. addition, order relation, probability, radial basis function neural network technology, and multi-objective genetic are applied construct variables. Moreover, typical examples used demonstrate effectiveness proposed algorithm. To system, optimization–Latin hypercube sampling...

The strict and high-standard requirements for the safety stability of major engineering systems make it a tough challenge large-scale finite element modal analysis. At same time, realizing systematic analysis entire large structure these is extremely meaningful in practice. This article proposes multilevel hierarchical parallel algorithm to reduce computational efficiency loss when using heterogeneous multicore distributed storage computers solving Based on two-level partitioning...

Cascade bond-forming polymerizations have emerged as a powerful strategy for the synthesis of polymeric materials with advanced structures and properties. Among these, radical cyclopolymerization is one most extensively...

The development of a rapid and sensitive detection platform for DNA methylation in complex biological environments has attracted considerable attention. Herein, we describe p16 buffer serum based on single polymeric fluorescent microfiber waveguide with sandwich-structured hybridization designs. target could be captured by oligonucleotides conjugated the surface microfibers gold nanoparticles, resulting quenching out-coupled tip emission waveguide. Then restriction digestion enzyme HpaII was...

Heterogeneous multicore clusters are becoming more popular for high-performance computing due to their great power and cost-to-performance effectiveness nowadays. Nevertheless, parallel efficiency degradation is still a problem in large-scale structural analysis based on heterogeneous clusters. To solve it, hybrid hierarchical algorithm (HHPA) proposed the basis of conventional domain decomposition (CDDA) sparse solver. In this new algorithm, three-layer parallelization computational...