Materials Literature
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Abstract Single-atom alloys have proven to have promising and unusual catalytic, chemical, and electronic structure properties. However, the mechanism underlying their magnetic states and the effect of these states on their chemical and catalytic properties are not well understood, despite the demonstrated importance…
Ultrasonic vibration (UV)-assisted forming has been widely applied to enhance the plastic deformation of metals, yet its effects on the forming quality and strengthening behavior of the microstructure of the rolled surface remain insufficiently understood. In this study, UV-assisted rolling was employed to fabricate U…
Organic semiconductors, derived from π-conjugated polymers and molecules, enable the development of deformable, stretchable and flexible electronics due to their tunable redox, optical, electronic and mechanical properties. However, an informed understanding of how multi-scale morphological characteristics of the poly…
The design choices of modern generative systems-noise schedules, EMA weights, VQ codebooks, classifier-free guidance, sampling temperature, learning-rate schedules-are generally treated as independent engineering decisions. This paper shows that they all realize a single information-physics structure with two axes: a…
This revised article addresses Q0006, 'Control competing pathways in heterogeneous catalysis at atomic resolution?' using a question-specific mathematical construction rather than a generic logarithmic template. The proposed model, termed the Atomic-Pathway Selectivity Drift Model, uses elementary pathway fluxes J_r,…
Descloizite, PbZn(VO4)(OH), is a moderately common secondary species that forms through oxidation of vanadium-bearing Pb-Zn-Ag sulfide deposits (Anthony et al. 2000). Mindat lists no fewer than 495...
The presence of nanoplastics (NPs) in the environment raises concerns about human exposure, mainly through ingestion. However, little is known about their physicochemical transformations during digestion. This study investigated the behaviour of polystyrene (PS) NPs (350 nm, 500 nm, and a 1:1 mixture) during in vitro…
Ti-6Al-4V has seen widespread adoption in the aerospace industry due to its advantageous material properties, but the alloy is costly to produce with vulnerable supply chains. Repair and remanufacture offer economic and environmental benefits over scrapping components. Powder-based additive-manufacturing processes hav…
This study developed an active composite film using chitosan (CS) as the matrix loaded with essential oil microcapsules. The physicochemical properties of essential oil microcapsules encapsulated with different beeswax/soybean oil (BW/SBO) ratios, along with the effects of their addition levels on the properties of co…
Computational chemistry, which seeks to model molecular systems for the extraction of properties of interest, is experiencing a significant renaissance thanks to impressive advances in theoretical models enabling ever-faster simulations of complex processes via density functional theory (DFT), semiempirical methods, a…
Herein, BBOT solubility in supercritical carbon dioxide was investigated for the first time over a 12–30 MPa pressure range and a 313 to 343 K temperature range. The experimentally determined molar solubility of BBOT in SC-CO 2 was seen to change within the limits of 0.767 × 10⁻ 6 to 2.881 × 10⁻ 6 at 313 K, 0.406 × 10…
Porphyromonas (P.) gingivalis is a Gram-negative anaerobic bacterium with exceptionally high pathogenicity among periodontal pathogens. It is associated not only with periodontal disease but also with various systemic diseases, including Alzheimer's disease, rheumatoid arthritis, and atherosclerosis. Therefore, early…
Uranium (U) released from mining activities poses a threat to human and environmental health. Bioleaching bacteria are common in mining environments and play a significant role in uranium mobility. However, the relationship between the Fe/S-oxidizing bacterium Sulfobacillus thermosulfidooxidans and uranium remains poo…
Liquid organic hydrogen carriers (LOHCs) based on α,ω-alkanediol/lactone systems offer significantly lower dehydrogenation enthalpies than conventional aromatic carriers. This study investigates how the chain length and branching of alkyl substituents on the lactone ring influence the thermodynamic equilibrium of reve…
Metal- organic frameworks (MOFs) constitute a promising class of crystalline porous materials formed through the coordination of metal ions or metal clusters with organic bridging ligands. These materials have emerged at the intersection of coordination chemistry, supramolecular chemistry, and materials science. Their…
The rapid integration of generative artificial intelligence (GenAI) into educational settings has created both opportunities and challenges for student learning. While GenAI adoption in education continues to grow, instructors remain divided about its educational value and appropriate usage. To further complicate matt…
This revised article addresses Q0025, 'Design self-healing structural and functional materials?' using a question-specific mathematical construction rather than a generic logarithmic template. The proposed model, termed the Damage-Recovery Cycle Model, uses damage metric D_n, recovered property P_rec, virgin property…
This study evaluated the sieve-retained coarse fraction above 44 µm ( R 44 ) as a practical descriptor of permeability and fast-drying performance in vacuum-extruded red clay ceramics. Ten formulations containing kaolinite-based, muscovite-based, and montmorillonite-based clays were prepared according to a simplex-cen…
Organic fertilization is a key strategy for improving soil structure and fertility in China’s Vertisols, yet the trade-offs among soil quality enhancement, grain yield performance, and nutrient use efficiency under different organic amendment regimes remain insufficiently elucidated. Based on a unique 43-year field fe…
We introduce Hybrid Physics-Aware Sparse Neural Networks (Hy-PAS), a framework for solving ordinary and partial differential equations that reinterprets classical meshless partition-of-unity approximation as a structurally sparse neural network. Each trainable parameter of Hy-PAS corresponds to a concrete physical or…