Materials Literature
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Quantum computing is a quickly growing field that is promising various advantages compared to conventional computing. However, currently stand-alone quantum applications are scarce and hybrid (quantum-classical) computing is needed, especially in quantum machine learning (QML). Due to current limitations of quantum co…
A study of domain adaptation, retrieval grounding, and validator-gated repair for large-language-model-assisted materials ontology generation.
Stimulated Raman scattering (SRS) microscopy has emerged as a powerful chemical imaging platform that translates molecular bond vibrations into rapid visualization of biomolecules, metabolites, and drugs. As SRS moves from proof-of-concept imaging toward live cell analysis, thick tissue interrogation, biochemical read…
Two atomically precise sulfide-templated Cu14 nanoclusters (NCs), [S@Cu14(4MBT)12(PPh3)6] (S@Cu14-4MBT) and [S@Cu14(3MBT)12(PPh3)6] (S@Cu14-3MBT), were synthesized and structurally characterized to investigate the influence of ligand engineering on the stability and electrocatalytic performance of Cu NCs during the el…
This paper proposes a novel theoretical framework, Universal Computational Gauge Theory (UCGT), aiming to unify diverse computational paradigms through a gauge transformation perspective. UCGT posits that fundamental differences between systems, whether represented by classical physics, quantum mechanics, or emerging…
I propose a hybrid architecture in which polariton condensates that simultaneously support supersolid spatial order and continuous time-crystal (CTC) temporal order serve as the coherent optical carrier. An engineered two-dimensional phononic lattice provides mechanical stabilization, frequency locking and bandgap con…
D-2-Hydroxyglutarate dehydrogenase from Pseudomonas aeruginosa PAO1 (PaD2HGDH) is a Zn2+- and FAD-dependent metallo-flavoenzyme that catalyzes the oxidation of D-2-hydroxyglutarate to 2-ketoglutarate in bacterial metabolism. Since this enzyme participates in a metabolically important pathway in P. aeruginosa, defining…
This paper introduces the concept of Latent Mathematics, a framework for identifying, characterizing, and activating hidden mathematical structures that underlie observable data or phenomena. We define Latent Structure as an abstract representation that captures the essential relationships and symmetries not immediate…
The study reported the effect of SILAR-deposition cycle on the tunable optical property of Thallium Sulphide Thin films through copper doping and variable concentration. TlS:Cu thin films were prepared using successive ionic layer adsorption and reaction (SILAR) technique from the aqueous solution of thallium chloride…
This paper introduces Computational Fine-Graining Theory (CFGT), a novel framework for understanding the diverse and potentially limitless ways in which a fundamental computational process can be refined or "grained" at different levels of abstraction. The core concept is represented by the set $\mathcal{F}(C)$, where…
This scoping review aims to map and critically evaluate the applications of artificial intelligence across key stages of early drug discovery, including target identification and validation, virtual screening and hit identification, drug repurposing, de novo molecular design, and ADMET/toxicity prediction. The review…
This paper proposes a novel framework for understanding complex computational systems, termed Computational Structural Thermodynamics. It moves beyond simply applying established physics concepts to computer science, aiming to establish a formal state variable system for these systems. This system encompasses quantiti…
This project contains the protocol, extracted dataset, risk-of-bias appraisal and analysis code for a systematic review and meta-analysis of the effects of microplastics on terrestrial plants, with a specific focus on whether biodegradable polymers are less harmful than conventional ones. Biodegradable mulch films bas…
This paper introduces a new invariant for mathematical structures, called the structural depth. For a given structure X the depth D(X) is defined as the minimal number of irreducible layers that must be traversed to reveal the entire internal composition of X. The notion of depth captures the nested complexity of a st…
This work presents "The Cosmic Landscape Map: Taiji Duality & Geometric Morphogenesis Blueprint", establishing a comprehensive 5-layer cosmological map where physical distance fundamentally emerges and evolves through geometric morphogenesis in accordance with the Fibonacci sequence and the Golden Ratio ($\phi$). Key…
Software increasingly functions as part of the scientific instrument itself, making failures in scientific code capable of compromising not only program behavior but also the evidence underlying scientific conclusions. Yet existing evaluations of coding agents largely emphasize aggregate task success, providing limite…
Abstract The removal of trace argon from oxygen is among the most challenging separations due to their nearly identical physicochemical properties. Moving beyond conventional strategies reliant on strong, static binding sites, this work introduces a flexible aluminum‐based MOF, Al‐CHDC, constructed with a conformation…
As active and physical-learning systems acquire sensing, memory, communication, internal regulation, and learning, richer microscopic architectures increasingly produce different macroscopic behavior. The central inferential problem is not whether such mechanisms can change collective dynamics, but what level of claim…
The conservation of distinguishability under transformation is a fundamental question in mathematics that has implications for symmetry, invariants, and the structural analysis of systems. This paper introduces a formal framework for quantifying the "distinctness" between mathematical objects via a function Δ(X,Y), st…
FINDING: AI translation of cuneiform tablets yields metadata classification network, but no new mathematical constants or equations are reported in the provided search results. | MATH: No equations, constants, or ratios extracted. The only mathematical content is a neural network architecture for classifying tablet me…