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。
This paper introduces the Chemical Hidden Variable Theory (CHVT), a novel approach to theoretical chemistry predicated on the belief that existing chemical theories fundamentally lack crucial variables. Drawing an analogy with the historical search for hidden variables in quantum mechanics, CHVT posits the existence o…
Electrospinning offers a practical route to produce nanostructured fibers with controlled morphology and tunable properties, making it a valuable platform for sensor development. In this review, we examine how different polymer systems—natural, synthetic, and copolymers—have been tailored for sensing applications, out…
This study investigates the micro‐to‐nanostructural evolution during batch annealing treatments of thermomechanically controlled processed (TMCP) cold‐rolled steel strips featuring a lean alloy design (including Mo alloy reduction). By configuring coiling temperatures and annealing parameters, the interactions among r…
Abstract Poly(ε-caprolactone) (PCL)-based polymers are biodegradable materials that have been widely used in biomedical applications. However, their inherently slow hydrolytic degradation and limited controllability restrict applications that require defined degradation lifetimes. Herein, tunable degradability is demo…
The HVAC sector relies heavily on petroleum-based engineering plastics, particularly for rigid HEPA filter frames. Because these frames are permanently bonded to filter media, spent assemblies generate a massive landfill waste stream. This study investigates a sustainable alternative utilizing potato starch (Solanum t…
This paper introduces the Molecular Scale-Transition Law, a framework designed to address the fundamental challenge of understanding how chemical rules evolve across scales – from the electronic to the atomic, molecular, and ultimately macroscopic levels. The core of this law proposes the existence of a universal scal…
This paper introduces the concept of Molecular Latent Variables (MLVs), proposing that the true state of a molecule cannot be fully described solely by its coordinates, orbital information, and electric charge. We argue for the existence of unobservable, yet inferable, chemical variables that fundamentally influence m…
This paper introduces the concept of the Reaction Topology Invariant (RTI), a novel framework for unifying diverse chemical reaction mechanisms. The core principle posits that each chemical reaction possesses a unique Topology Signature, and that catalytic interventions primarily alter the reaction pathway without fun…
ABSTRACT Achieving persistent room‐temperature phosphorescence (RTP) with a time‐dependent afterglow in organic systems is highly attractive for superior optoelectronic applications, yet remains challenging in stability and visible‐light excitation. Herein, we present an efficient strategy of ‘fused framework’ to desi…
ABSTRACT Conventional temperature‐control systems generally rely on separate heaters, temperature sensors, and controllers, resulting in complex wiring and structural redundancy. This study proposes a proof‐of‐concept strategy in which a single polymer positive temperature coefficient (PTC) composite simultaneously pe…
This paper introduces the Chemical Phase Identity Theory (CPIT), a novel framework expanding upon traditional phase concepts to encompass chemical reactions. The core principle of CPIT posits that the chemical identity of a system is fundamentally determined by its phase composition, extending the familiar classificat…
This paper introduces the Universal Molecular Grammar (UMG), a conceptual framework aiming to formalize the structure and relationships within chemical compounds. The UMG proposes a hierarchical decomposition of matter, analogous to how language is structured: Letter → Word → Sentence. Specifically, it posits that ele…
Starting from the single axiom that energy flows at c in all directions, this paper derives motion from energy sharing space. When two bounded energy extents overlap, the shared region contributes to both density distributions, shifting each center of mass toward the overlap. Energy flows around the new center, and th…
THE ALCHEMY OF STONE The Definitive Molecular Science of Marble Pigmentation and Engineered Composites
This paper explores the concept of Chemical Approximation Reversal (CAR), a counterintuitive approach to chemical simulation where a low-fidelity, macroscopic model is used to rigorously reconstruct a high-fidelity, microscopic chemical state. Traditionally, the process flows from high-precision models to lower-precis…
The prediction of the adiabatic potentials of one-electron oxidation and reduction processes, traditionally performed with DFT-based methods, is a computationally intensive and slow task. While predicted potentials can be utilized in various ways, such as assessing reactivity between molecules, the high resource requi…
Abstract Albania generates almost all of its electricity from falling water and draws its fresh water from the same hydrological cycle. One input carries both, so a dry summer lowers the reservoirs and the taps together and forces electricity imports in the weeks when every neighbouring system is short of the same thi…
This paper introduces the Quantum Reaction Language (QRL), a novel framework for representing and generating chemical reactions using a grammar-based approach. The core concept is that all chemical reactions, regardless of their complexity, can be viewed as a form of language generation. We propose a Reaction Grammar,…
Fiber-reinforced elastomers can significantly enhance mechanical strength while retaining material softness, thereby expanding the application scope of elastomeric materials in scenarios requiring both high flexibility and high strength. Compared with thermoplastic polymers and ceramic materials, elastomers exhibit lo…
This paper introduces the Reaction Intelligence Principle (RIP), a novel framework that moves beyond anthropomorphic notions of "intelligent" molecules. Instead, RIP posits that chemical systems inherently exhibit optimized behavior reminiscent of intelligence, particularly through the formation of catalytic networks.…