Materials Literature
按标题、摘要、年份、主题和来源检索公开元数据。结果保留作者、摘要、分类与原始来源链接。
Mixed plastic waste remains difficult to upcycle selectively under mild conditions, and piezocatalysis has been constrained by a persistent see‐saw effect: Stronger piezoelectric polarization tends to divert charge carriers away from the very active sites that drive catalysis. Sha et al. (Nature Communications, 2026)…
Synthesis of lipid nanoparticles (LNPs) for mRNA delivery is now standardized and automated. In contrast, post-synthesis purification-ethanol removal, clearance of unencapsulated components, and buffer exchange-remains less controlled. Conventional bulk dialysis is time-consuming, whereas centrifugal ultrafiltration,…
We apply a modal framework for investigating the effect of density variations on gravity-type driven flows at the nanoscale. Using eigenfunction decomposition of the density and acceleration fields, each shear-pressure mode is separated into a homogeneous contribution and an inhomogeneous contribution determined by th…
The photocatalytic degradation of Ciprofloxacin (CIP) was evaluated under ultraviolet photo irradiation and a composite of β-Ga2O3 with nanocellulose citrate-capped fibers (CNCFs) at an 80:20 weight ratio (β-Ga2O3/20%CNCFs). At a dosage of 2 mg photocatalyst and optimized conditions, the CIP degradation rate (k = 2.88…
This paper establishes the global existence of non-negative weak solutions to a two-dimensional, fourth-order nonlinear degenerate parabolic equation modeling surface-tension-driven convection in thin fluid films. First, we construct a regularized approximate problem and prove its solvability via the Galerkin method.…
Abstract Scientific work depends on memory, provenance, and continuity across projects, yet most agentic scientist systems are evaluated in bounded workflows or short benchmark runs. We describe a persistent fleet of cooperative AI scientist agents that operated continuously for nearly six months using shared memory,…
GPT attention measures token compatibility through dot-product similarity. This mechanism is simple, effective, and memory-efficient. But it does not explicitly model whether strong token features should reinforce or suppress one another. We introduce Q-Interference, a fully classical quantum-inspired attention mechan…
The exploration of topological fermions and bosons marks a new chapter in condensed matter physics, unveiling rich and unconventional phenomena. Particularly in quantum field theory, exotic quasiparticle excitations such as Dirac and Weyl fermions can serve as direct analogs, and their recent experimental realizations…
To address the challenge that elastic wave energy can only transmit through narrow path waveguides in topological metamaterials, the proposal of large area waveguides effectively breaks through this technical bottleneck. Nevertheless, elastic waves are vector waves with complex multi component transmission characteris…
Recent efforts toward fully automated AI scientists have demonstrated that language-model agents can generate hypotheses, execute experiments, and draft scientific manuscripts. However, during the early stages of research, when research problems are formulated, these AI scientists often rely heavily on proprietary fro…
Thiele-based descriptions of magnetic vortex dynamics in thin ferromagnetic nanodots rely on magnetization ansätze that describe the equilibrium texture but cannot represent perturbation-induced deformations. We introduce the Deformed Image Vortex Ansatz (DIVA): a perturbation-aware ansatz in which the response to an…
Abstract Major chronic diseases, including cancer, cardiovascular and neurodegenerative disorders, diabetes, and non-infectious inflammations, are fundamentally driven by dysregulated pathological chemical microenvironments characterized by oxidative stress, hypoxia, acidosis, protein misfolding, and abnormal carbohyd…
In this work, we demonstrate a data-driven machine learning (ML) framework for the efficient design and optimization of Kretschmann-configuration-based surface plasmon resonance (SPR) sensors. A physics-based dataset was generated using a MATLAB-based transfer matrix method (TMM), covering diverse material properties,…
Ti/SnO2-Sb-Ni (Ti/NATO) is an effective anode for electrochemical ozone production (EOP), yet its limited service life hinders practical use. TiO2 nanotube arrays (TNTAs) with tunable inner diameter, outer diameter, and length were constructed on Ti substrates as an interlayer, and their geometric effects on the stabi…
Abstract: We investigate whether fundamental fermionic properties — existence, chirality, and a Dirac-mass-like term — can emerge from the topology of the excitation spectrum of a single quantum substrate, following G. Volovik's bottom-up construction method: starting from a real, verifiable microscopic Hamiltonian an…
Drug discovery and development underpins healthcare but remains costly and failure-prone. A critical bottleneck lies in predicting molecular properties such as solubility, potency, and toxicity, which directly determine whether a candidate can advance from preclinical to clinical trials. Artificial Intelligence (AI) h…
ABSTRACT Severe voltage polarization limits the deployment of zinc–iodine batteries by collapsing energy/power output under high iodine loadings (> 10 mg cm −2 ) and current densities (> 3 A g −1 ). Yet its origins remain unresolved because ohmic, charge‐transfer, and mass‐transport losses evolve concurrently during o…
Two-dimensional transition-metal dichalcogenide alloys are potential candidates for advanced optoelectronic and neuromorphic applications due to their strong light-matter interactions and controllable defect properties. However, large-area growth of such alloys remains challenging, while the correlation between their…
Long-context prefill in large language models (LLMs) incurs substantial computation and memory traffic because dense self-attention computes quadratic query-key scores. Existing methods either use a uniform low-precision path or select token interactions, leaving spatial precision routing over hardware-aligned score t…
Hard carbons are established anodes for lithium-ion batteries and leading candidates for sodium-ion batteries, yet their electrochemical performance is governed by a heterogeneous network of graphitic domains, defects, and nanopores that conventional atomistic methods cannot model at the required length scales. We com…