Materials Literature
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ABSTRACT Filamentary wearable electronics require conductive filaments that are mechanically robust, structurally compliant, and compatible with textile integration, yet these attributes are rarely achieved simultaneously in bio‐based systems. Here, we report a collagen‐based conductive filament platform that converts…
Abstract Due to the significant friction and wear in micro- and nano-electromechanical systems (M/NEMS), achieving reliable sliding in M/NEMS remains a critical challenge. Structural superlubricity with ultralow friction and wear in van der Waals (vdW) heterojunctions is a promising route to realize long-lifetime slid…
Many mathematical and physical systems generate rapidly growing or formally infinite families of recurrent histories although their observable behaviour may depend on only a small number of effective degrees of freedom. Established methods address particular manifestations of this phenomenon through transfer matrices,…
ABSTRACT Conventional interfacial polymerization is typically governed by rapid and disordered monomer diffusion, which limits precise regulation over through‐thickness structure and electrostatic distribution in polyamide nanofiltration membranes. Here, a reaction‐induced interfacial self‐assembly strategy is develop…
Abstract Standard quantum mechanical and condensed matter frameworks model the wave-particle duality as an ax-iomatic postulate, leaving the physical mechanism of wave propagation unexplained. This paper presents Tension-Optimized Newtonian Entropy (TONE) Theory to resolve the structural origin of waviness. We replace…
THE EL-RAKHAWI FRAMEWORK FOR PHYSICS-INFORMED INVERSE MATERIAL DESIGN From Black-Box AI to Quantum Engineering Guided by the Laws of Nature
The 44th edition of the Journal of Metastable and Nanocrystalline Materials presents articles that analyse the properties and functional capabilities of aluminium nanowires and graphene-enhanced phase change material for a battery thermal management system; the features of the nanofiber process manufacturing control;…
Heavy metal contamination, particularly by lead (Pb), and drought stress severely impairs sorghum ( Sorghum bicolor L.) growth and productivity. This study evaluated the efficiency of plant growth-promoting rhizobacteria (PGPR), fulvic acid (FA), and chitosan nanoparticles (Ch − NPs) in mitigating Pb toxicity and drou…
Self-labeling enzymes, like SNAP-, CLIP- and Halo-tag have found wide application in biology, biochemistry, materials science and bioengineering. For example, they have been applied with high versatility to rewrite genetic information inside the living cell by providing rationally programmable RNA-targeting strategies…
Fabric surface defect segmentation is a crucial yet challenging task in industrial visual inspection, where complex textures, low contrast, and diverse defect patterns often degrade detection accuracy. To address these challenges, this study introduces a novel Swin Transformer-based segmentation framework that integra…
ABSTRACT Paper‐based sensors offer a sustainable platform for wearable electronics, yet their performance is fundamentally constrained by the intrinsic “contact‐jumping” behavior of hierarchical cellulose fibers, which causes abrupt conduction transitions, early current saturation, and an inevitable sensitivity–detect…
Abstract Alkaline treatment is a key strategy for constructing hierarchical zeolites, yet its dealumination mechanism and effects on acidity and pore structure remain unclear. Using ZSM-5 as a model, samples with varied dealumination degrees were prepared by adjusting treatment time. Advanced solid-state nuclear magne…
Abstract Unconventional magnetism represents a class of metallic states whose Fermi surfaces exhibit spin-dependent splittings under the nontrivial representations of the rotation group. The d -wave α -phase of unconventional magnetism provides a continuum realization of the nonrelativistic spin-splitting physics desc…
The concept of "molecular memory states" has been explored, but this work introduces the framework of "Chemical Memory Capacity" (CMC) – a quantitative approach to determine the maximum amount of historical information a chemical system can retain. This paper investigates systems exhibiting memory effects, including c…
A simply supported rectangular isotropic ferromagnetic plate with magnetocaloric properties subjected to convective heating on its upper surface is considered. The governing equations comprise a system of two-dimensional transient equations for the thickness-averaged temperature characteristics of the plate and the tw…
Abstract Significant efforts have recently been dedicated to enhancing reversibility and safety of high-temperature lithium–chalcogenide batteries (LCBs) to address performance-limiting issues. However, bottlenecks in electrolyte design that severely constrain the utilization of active material and reversibility of a…
This paper investigates the evaluation of class numbers of imaginary quadratic fields from truncated partial sums of Kronecker symbols, commonly referred to as character walks. We explore the $\mathbb{Q}$-linear relations among the values of these walks by bridging classical Dirichlet class number formulas with Kubert…
Purpose Fabric defects are a key factor affecting fabric production quality and fabric grade. In recent years, deep learning-based fabric defect detection algorithms have been proposed, but these methods cannot be adapted to complex color-patterned fabrics, and suffer from leakage and false detection problems. Therefo…
We explore the intriguing topological itinerant magnet ${\mathrm{MgMn}}_{6}{\mathrm{Sn}}_{6}$, characterized by bilayer kagome Mn layers encasing a hexagonal Sn layer. Using ab initio density functional theory and dynamical mean-field theory calculations, we uncover the complex electronic properties and many-body conf…
Understanding charge carrier recombination kinetics is vital for optimizing perovskite materials and devices. Time-resolved photoluminescence (TrPL) is widely used to investigate carrier kinetics, but kinetic parameters inferred from TrPL alone often suffer from intrinsic non-uniqueness. Therefore, quantitatively reso…