Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This paper introduces a novel framework called Mathematical Phase Alignment Theory (MPAT) that formalizes the intuition that diverse mathematical domains can exhibit coherent phase relationships when appropriately mapped. Central to this framework is the Alignment Operator, a construct that aligns the intrinsic phase…
Quasicrystal Structures and PropertiesTopological Materials and PhenomenaQuantum many-body systems
S. L.、Jesuarockiam Naveen2026-08-20Journal of Natural Fibers
Hybrid composites are increasingly attractive due to their lightweight nature and enhanced flame-retardant properties. This study investigated flame-retardant hybrid laminates by using carbon fibers and multiwalled carbon nanotubes (MWCNT) coated hemp fibers embedded in a novolac phenolic resin. Ammonium polyphosphate…
Magnesium Oxide Properties and ApplicationsFlame retardant materials and propertiesNatural Fiber Reinforced Composites
Yiming Xia2026-08-20Figshare
Quaternary mixed-metal chalcohalides offer a compositionally versatile platform for developing lead-free semiconductor nanomaterials, yet colloidal access to Cu–Bi–S–Cl compositions remains unexplored. Here, we report the first solution-phase synthesis of CuBiSCl₂ nanocrystals (NCs) through a hot-co-injection strategy…
Chalcogenide Semiconductor Thin FilmsQuantum Dots Synthesis And PropertiesNanocluster Synthesis and Applications
JALALI, SEYED RASOUL2026-08-20Zenodo (CERN European Organization for Nuclear Research)
تحلیل بنیادین، بازنویسی تانسوری و اثبات جامع معمای شماره ۱ از ۳۰ (سری جدید: نیروی هستهای ضعیف): «مسئله سلسلهمراتب (The Hierarchy Problem) و پارادوکس تنظیم ظریف و سیستم هماهنگسازی مقیاس انرژی در منیفولد ۱۱۵۵ بعدی»؛ مبنی بر اینکه «اختلاف نجومی ۱۴ مرتبه بزرگی میان مقیاس الکتروضعیف ($\sim 100 \text{ GeV}$) و مقیاس پلان…
Space Technology and ApplicationsChemical and Physical Properties of MaterialsAdvanced Materials and Semiconductor Technologies
Andrew Stewart Caldin2026-08-20Zenodo (CERN European Organization for Nuclear Research)
FINDING: No new mathematical tablet discovery is reported; the search results are dominated by sensationalist YouTube titles and a single arXiv paper on AI metadata classification, not mathematical content. MATH: No equations, constants, or ratios are extractable from the provided sources. The arXiv paper (2603.03892v…
Machine Learning in Materials ScienceMathematics, Computing, and Information ProcessingBenford’s Law and Fraud Detection
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
The present work introduces Structural Minimality Theory, a framework for determining the smallest structural configuration that suffices to guarantee the validity of a given mathematical statement. By formalizing the notion of a Minimal Supporting Structure (MSS), the theory provides a systematic method to identify t…
Structural Analysis and OptimizationTopology Optimization in EngineeringQuasicrystal Structures and Properties
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
In many complex systems, the underlying structure is not fully occupied by constituent elements; some positions that could logically host an element remain empty. These positions are not arbitrary omissions but are determined by the structure's intrinsic geometry, topology, and symmetry. This paper introduces a formal…
Machine Learning in Materials ScienceCatalysis and Oxidation ReactionsQuasicrystal Structures and Properties
Newsha Javanmardi、Christopher T. Nelson、Anna N. Morozovska 等 6 位作者2026-08-20arXiv (Cornell University)
Functionalities of ferroelectric materials are governed by the spatial organization and coupling of polarization, strain, lattice rotation, and structural order accessible via atomically resolved scanning transmission electron microscopy (STEM) images. Quantitative interpretation of atomic-resolution STEM data has con…
Advanced Electron Microscopy Techniques and ApplicationsFerroelectric and Piezoelectric MaterialsMultiferroics and related materials
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This paper introduces the Algorithmic Coarse-Graining Theory, a framework for understanding and predicting the preservation of key properties during the process of coarse-graining. Coarse-graining is a computational technique used to simplify complex systems by reducing the level of detail in the representation. The c…
Nanofabrication and Lithography TechniquesBlock Copolymer Self-AssemblyModular Robots and Swarm Intelligence
Anthony SANTANA2026-08-20Zenodo (CERN European Organization for Nuclear Research)
AbstractSimulating electronic transport properties and scattering networks within continuous condensed matter physicspresents an intractable computational barrier due to the factorial scaling of infinite continuum path permutations.This paper introduces a unified framework that utilizes Ewin Tang’s dequantization matr…
Nanopore and Nanochannel Transport StudiesBlock Copolymer Self-AssemblyAdvanced Physical and Chemical Molecular Interactions
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
The phase field method provides a unified framework for modeling a wide range of interfacial phenomena without explicit tracking of interfaces. In this paper we develop a comprehensive mathematical formulation of phase field theory, starting from the variational principle that defines a diffuse interface free energy f…
Fluid Dynamics and Thin FilmsShape Memory Alloy TransformationsSolidification and crystal growth phenomena
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
The concept of symmetry has long served as a cornerstone in the formulation of physical laws and mathematical structures. Classical symmetry refers to transformations that leave a system's observable configuration unchanged. In this work we introduce a complementary notion, which we call deep symmetry, defined as the…
Machine Learning in Materials ScienceNeural Networks and Reservoir ComputingModel Reduction and Neural Networks
Sarah Nelson2026-08-20Digital Commons - USU (Utah State University)
This capstone project is sponsored by Northrop Grumman (NGC). The goal of the project is to redesign an ablation torch testing system to improve usability, safety, and versatility. Northrop Grumman relies on their ablation torch testing system to conduct quantitative evaluations of materials and high stress and high t…
Mechanical Failure Analysis and SimulationEngineering and Material Science ResearchChemical and Environmental Engineering Research
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
The concept of repetition is a cornerstone of mathematics, appearing in combinatorics, group theory, fractal geometry, and category theory. Traditional studies focus on periodicity, yet many structures exhibit repetition without strict periodicity. This paper introduces a formal framework for measuring how a single re…
Topological and Geometric Data Analysissemigroups and automata theoryQuasicrystal Structures and Properties
Andrew Stewart Caldin2026-08-20Zenodo (CERN European Organization for Nuclear Research)
FINDING: Fibonacci numbers appear in Mandelbrot set dynamics and can be generated via closed-form tree structures without recursion. MATH: - Fibonacci recurrence: \( F_n = F_{n-1} + F_{n-2} \), with \( F_0 = 0, F_1 = 1 \). - Closed-form (Binet): \( F_n = \frac{\phi^n - \psi^n}{\sqrt{5}} \), where \( \phi = \frac{1+\sq…
Graph theory and applicationsCellular Automata and ApplicationsQuasicrystal Structures and Properties
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This paper introduces Algorithmic Chemical Theory (ACT), a novel approach to chemical understanding and prediction. Instead of viewing algorithms as discrete modules, ACT proposes that algorithms are fundamental, irreducible elements analogous to those found in the periodic table. These algorithmic elements can intera…
Origins and Evolution of LifeMachine Learning in Materials ScienceHistory and advancements in chemistry
Олег Ивченко、Iryna Ivchenko2026-08-20Zenodo (CERN European Organization for Nuclear Research)
Research article: Multimodal AI in Scientific Discovery: 2025 Benchmarks in Drug Discovery and Materials Science
Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and EducationMachine Learning in Materials Science
Hayrullah Gün Kadıoğlu、Uğur Kafkas、Mustafa Özgür Yaylı2026-08-20The Journal of Strain Analysis for Engineering Design
In this study, an innovative approach combining semi-analytical modeling with machine learning-based prediction methods is proposed to analyze the dynamic behavior of short fiber-reinforced viscoelastic microbeams. Developed based on the modified couple stress theory, the model examined the vibration characteristics o…
Mechanical and Optical ResonatorsComposite Structure Analysis and OptimizationNonlocal and gradient elasticity in micro/nano structures
Yiming Xia2026-08-20Figshare
Quaternary mixed-metal chalcohalides offer a compositionally versatile platform for developing lead-free semiconductor nanomaterials, yet colloidal access to Cu–Bi–S–Cl compositions remains unexplored. Here, we report the first solution-phase synthesis of CuBiSCl₂ nanocrystals (NCs) through a hot-co-injection strategy…
Nanocluster Synthesis and ApplicationsChalcogenide Semiconductor Thin FilmsQuantum Dots Synthesis And Properties
Beniamin Bogosel2026-08-20arXiv (Cornell University)
Meissner polyhedra are constant-width bodies obtained from extremal finite sets of unit diameter. Such a generating set may contain dangling points, namely points having exactly two diametric neighbors. This article studies whether these points can play an essential role in surface-area minimization. Given an extremal…
Quasicrystal Structures and PropertiesAdvanced Materials and MechanicsStructural Analysis and Optimization