Scientific Resource Catalog
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The relationship between microscopic and macroscopic structures is fundamental to many areas of mathematics and the sciences. In this paper we formalise a dual‑scale framework in which a microscopic structure Xmicro and a macroscopic structure Xmacro are linked by a scale‑transfer mapping R: Xmicro…
This paper presents two novel robust hybrid energy-efficient hybrid 4-to-2 compressor cells, implemented in Carbon Nanotube Field-Effect Transistor (CNFET) technology. The proposed designs synergistically integrate transmissiongate multiplexers (TG-MUX), standard CMOS gates, and a new pass-transist…
Scientific data are increasingly used by AI agents, yet existing dataset representations provide limited support for autonomous discovery, interpretation, and invocation. This limitation stems from the fragmentation of scientific data across heterogeneous repositories and from dataset representatio…
This paper presents a numerical study of charged particle dynamics under the influence of crossed electric and magnetic fields (E×B drift) tailored to the operational parameters of the International Thermonuclear Experimental Reactor (ITER). A geometric computational model implemented in MATLAB was…
This study reports the synthesis of an Nyssa sylvatica gum-based hydrogel [NS-g-poly(AA)] via free-radical polymerization for the treatment of malachite green (MG)-contaminated wastewater. The novelty of this study lies in the use of Nyssa sylvatica gum as a sustainable biopolymer backbone for hydr…
As the demand for energy continues to rise, traditional fossil fuels are depleting, making the development and research of renewable clean energy sources like solar and wind energy increasingly essential. However, the research on these renewable sources is often constrained by factors such as clima…
A systems and application study of MatPortal 2.0 as semantic artefact and linked-data infrastructure for materials science, manufacturing workflows, and industrial data spaces.
Graph Neural Networks (GNNs) are powerful deep learning models for predicting molecular properties but they require large datasets and significant computational resources. My research focuses on enhancing their efficiency and accuracy by improving how these models learn and process information inte…
This paper introduces Computational Order Theory (COT), a novel framework that posits order itself as a computational object. Traditional order theory focuses on the ordering of sets or elements, often treated as a static property. COT, however, views order as a process, a sequence of operations go…
We show that shape-Wilf-equivalence is not closed under inversion: of the seven inverse pairs of length-four patterns, exactly one is shape-Wilf-equivalent, and it is precisely the pair generated by the known equivalences of Backelin-West-Xin and Stankova-West. Since inverse patterns are always Wil…
Soft functional composites are increasingly important for technologies that operate in deformable, dynamic, and biologically relevant environments such as wearable electronics, electronic skin, implantable devices, soft robotics, haptic systems, and responsive sensors. A central challenge is that c…
We extend the Luttinger-Ward free energy functional to disordered superconductors and superfluids with arbitrary scattering mechanisms, including both impurity disorder and the presence of interfaces. The disorder is taken into account within the self-consistent $t$-matrix approximation, thus allow…
FINDING: Tunneling probability exponential scaling with tubulin dimer dipole moment and Planck length | MATH: Exponential decay factor ∝ exp(-α · d · p / ℏ) where d = Planck length (ℓ_P ≈ 1.616×10⁻³⁵ m), p = tubulin dimer dipole moment (1740 D ≈ 5.80×10⁻²⁷ C·m), ℏ = reduced Planck constant (1.054×1…
Two-dimensional van der Waals heterostructures are promising platforms for next-generation non-volatile memory and neuromorphic computing. This work reports a spatially separated dual floating-gate synaptic transistor based on multilayer SnS2/h-BN/1T′-WTe2-MoTe2 van der Waals heterostructures. The…
L'extraction directe d'énergie subatomique (E = mc²) constitue le vecteur ultime de puissance pour l'infrastructure spatiale interplanétaire. Cet article présente la chaîne intégrée d'un système à annihilation positronique (e⁺e⁻) compact de 5 MWe. La production de positrons repose sur une cible fra…
HistoryThis study aims to develop a sustainable and eco-friendly biocontrol strategy by evaluating the synergistic effects of green-synthesized silver nanoparticles (AgNPs) and plant-derived essential oils against two major agricultural threats: the green peach aphid (Myzus persicae) and the fungal…
In cold regions, the flexibility of asphalt mixtures is often insufficient to prevent low-temperature cracking caused by thermal contraction. To mitigate the resulting tensile stresses, several highway agencies considered cutting and sealing control joints at the surface layer of asphalt pavements.…
Accurately ranking active ligands for a target protein pocket from massive chemical libraries remains a central challenge in virtual screening. DrugCLIP and its recent extensions substantially accelerate this process by encoding protein pockets and molecules into a shared embedding space. Despite t…
FINDING: Decoherence is the process by which quantum superpositions decay into classical mixtures due to environmental entanglement, with recent advances in exact master equations for quantum dot systems enabling precise modeling of non-Markovian decoherence. | MATH: Exact master equation derived f…
Textiles based on electronic fibres can be used to integrate sensing, processing and feedback into a single wearable platform. However, embedding circuit-level functionality directly into fibres remains challenging due to poor fibre utilisation and unstable interconnects. Here, we report a programm…