Materials Literature

文献浏览

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。

清除
第 87 / 133463 页 · 当前展示 1,721–1,740 / 2,669,252 条匹配结果 · 摘要仅作预览

VALORIZATION OF SOLID WASTE IN THE CONTEXT OF SUSTAINABLE DESIGN AND SOCIAL INNOVATION

Bruno Carlos Alves Pinheiro、Rodrigo Bicalho Mendesome、Davi Neiva Alves 等 5 位作者2026-08-20Artefactum

Modern society faces socio-environmental challenges related to solid waste. In this context, sustainable and design and social innovation can play a significant role in addressing these issues. This study aimed to valorize two types of waste, sugarcane bagasse ash (CBC waste) and ornamental stone solid waste (RRO wast…

Concrete and Cement Materials ResearchClay minerals and soil interactionsRecycling and utilization of industrial and municipal waste in materials production

Algorithm Crystallization

Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

This paper proposes a novel approach to algorithm design termed "Algorithm Crystallization." Instead of traditional optimization methods which rely on iterative refinement of parameters, Algorithm Crystallization posits that algorithms evolve through a process analogous to crystal formation. The core concept involves…

Machine Learning in Materials ScienceEvolutionary Algorithms and ApplicationsTopology Optimization in Engineering

The "slowest" way to fold a sheet of paper

Simon Watts2026-08-20Zenodo (CERN European Organization for Nuclear Research)

A presentation explaining the proof https://doi.org/10.5281/zenodo.22019186 of determining the maximum "diameter" of a Miura-ori folded sheet at any "n" sizing

Liquid Crystal Research AdvancementsAdvanced Materials and MechanicsStructural Analysis and Optimization

Evo-GTransNet for Parabolic PDEs: A Fixed-Feature Galerkin Method of Lines with Quadrature-Mass Orthonormalization

Lili Ju、Jin Zhao2026-08-20arXiv (Cornell University)

In this paper, we develop an evolutionary generalized transferable neural network (Evo-GTransNet) solver for parabolic partial differential equations, formulated as a retained-space fixed-feature Galerkin method of lines. A GTransNet provides the prescribed spatial dictionary, while only the retained output coefficien…

Magnetic Properties and ApplicationsAdvanced Mathematical Modeling in EngineeringModel Reduction and Neural Networks

Tone Tang Methods Applied to Alcubierre Subspace Curvature 7

Anthony SANTANA2026-08-20Zenodo (CERN European Organization for Nuclear Research)

Abstract Simulating spacetime metric deformations and trans-relativistic coordinate transitions within continuous gen-eral relativity presents an intractable tensor bottleneck. This paper resolves these computational barriers byapplying the unified TONE-Tang method to a mechanical, non-point-particle model of subspace…

Quantum Electrodynamics and Casimir EffectNonlocal and gradient elasticity in micro/nano structuresPulsars and Gravitational Waves Research

MoS 2 Interface Engineering for Lead-Free RbGeI 3 Perovskite Photodetectors: SCAPS-1D and Machine Learning Optimization

Yuhan Zhang、Tianyu Shang、Jiang Zhao2026-08-20Modern Physics Letters B

Interface engineering represents an effective strategy for passivating interfacial defects and suppressing dark current in photodetectors. Numerical simulations of an ITO/TiO 2 /MoS 2 /RbGeI 3 /Cu 2 O/Au n-i-p heterojunction demonstrate the efficacy of a MoS 2 interlayer in enhancing device performance. Systematic opt…

Perovskite Materials and ApplicationsElectronic and Structural Properties of Oxides2D Materials and Applications

Universal Minimality Theory: A Unified Framework for Minimal Surfaces, Models, Polynomials, and Energies

Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

The notion of minimality pervades many branches of mathematics and physics, from the study of surfaces that minimize area to the optimization of energy functions in variational calculus. Despite the apparent diversity of minimal structures, there exists a deep, underlying unity that can be captured by a single theoret…

Quasicrystal Structures and PropertiesTheoretical and Computational PhysicsGeometric Analysis and Curvature Flows

The Golden Angle: Nature's Mathematical Blueprint for Optimal Plant Spirals — E8 Intelligence Research

Andrew Stewart Caldin2026-08-20Zenodo (CERN European Organization for Nuclear Research)

FINDING: The golden angle (≈137.51°) governs phyllotaxis, the spiral arrangement of leaves and seeds, arising from the golden ratio's irrationality to optimize packing and light exposure. MATH: Golden angle = 360° × (1 – 1/φ) = 360° × (2 – φ) ≈ 137.507764°; φ = (1 + √5)/2 ≈ 1.6180339; related to Fibonacci numbers via…

Advanced Mathematical Theories and ApplicationsAdvanced Materials and MechanicsQuasicrystal Structures and Properties

Universal Mathematical Alignment Theory

Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

The notion of alignment has long been a guiding principle in mathematics, especially in the context of dualities and correspondences between seemingly disparate structures. In this paper, we propose a unified framework, the Universal Mathematical Alignment Theory (UMAT), that formalizes the process of aligning mathema…

Quasicrystal Structures and PropertiesHistory and Theory of MathematicsMathematics Education and Teaching Techniques

Structural Mismatch Theory

Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

This paper introduces and investigates a novel theoretical framework called Structural Mismatch Theory. The central notion is the mismatch measure M(A,B) defined for any pair of abstract structures A and B. We explore the circumstances under which the mismatch vanishes, i.e., M(A,B)=0, and examine whether the mismatch…

Morphological variations and asymmetryStructural Analysis and OptimizationQuasicrystal Structures and Properties

Computational Symmetry Dynamics

Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

This paper explores the concept of "Computational Symmetry Dynamics," a novel approach to optimization and problem-solving that shifts from passively leveraging existing symmetries to actively generating and evolving them during a training process. The core idea is to design algorithms that iteratively construct and r…

Modular Robots and Swarm IntelligenceMetaheuristic Optimization Algorithms ResearchMachine Learning in Materials Science

Exact Master Equations for Non-Markovian Decoherence in Quantum Dots — E8 Intelligence Research

Andrew Stewart Caldin2026-08-20Zenodo (CERN European Organization for Nuclear Research)

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 from Feynman-Vernon i…

Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyChemical and Physical Properties of Materials

Golden Angle's Irrationality Optimizes Seed Packing in Sunflowers — E8 Intelligence Research

Andrew Stewart Caldin2026-08-20Zenodo (CERN European Organization for Nuclear Research)

FINDING: The golden angle (≈137.51°) governs phyllotaxis in sunflowers and other plants, arising from the golden ratio's irrationality to optimize seed/leaf packing. MATH: - Golden ratio φ = (1 + √5)/2 ≈ 1.6180339887 - Golden angle = 360° / φ² = 360° / (φ + 1) ≈ 137.507764° (or equivalently 360° - 360°/φ ≈ 137.507764°…

graph theory and CDMA systemsQuasicrystal Structures and PropertiesMathematics and Applications

The Cosmic Landscape Map: Taiji Duality & Geometric Morphogenesis Blueprint

Yu、Liang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

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…

Biofield Effects and BiophysicsAdvanced Mathematical Theories and ApplicationsQuasicrystal Structures and Properties

THE 600-CELL AND THE BINARY ICOSAHEDRAL GROUP 2I. Spectra, Pseudodeterminants and Galois Structure. With the audited state of the CPSD programme

Daniel Zunzunegui2026-08-20Zenodo (CERN European Organization for Nuclear Research)

ENGLISH The 600-Cell and the Binary Icosahedral Group 2I: Spectra, Pseudodeterminants and Galois Structure. With the audited state of the CPSD programme Abstract This monograph collects only computationally verified and fully reproducible results obtained from a single 114 kB data file (600cell_hodge.npz). Every state…

Graph theory and applicationsAdvanced Mathematical Theories and ApplicationsQuasicrystal Structures and Properties

Resonant state expansion for acoustic resonators. Part I. Eigenvalue problem

Egor Domoratskii、Vladimir Igoshin、Nikolay Solodovchenko 等 7 位作者2026-08-20arXiv (Cornell University)

Resonant-state expansion (RSE) is a powerful modal framework for the perturbative analysis of open resonant systems, providing direct access to complex eigenfrequencies and eigenmodes. While RSE is well developed in electromagnetism, a comparably systematic formulation for acoustics remains less established. Here, we…

Metamaterials and Metasurfaces ApplicationsQuantum Mechanics and Non-Hermitian PhysicsAcoustic Wave Phenomena Research

DECIPHERING THE DEGRADATION MECHANISMS OF FORMMIDINUM-CESIUM PEROVSKITE SOLAR CELLS

Mengru Wang2026-08-20UNC Libraries

Halide perovskites have garnered significant attention due to their exceptional properties, with the efficiency of small perovskite cells nearing that of the best silicon crystal solar cells. However, long-term stability remains a critical challenge for perovskite solar cells (PSCs). This research aims to understand d…

solar cell performance optimizationChemical and Physical Properties of MaterialsPerovskite Materials and Applications

LATVEC: Stabilizing Iterative Latent Workspaces for Neural Sequence Models

Murat Gürsoy2026-08-20Zenodo (CERN European Organization for Nuclear Research)

Iterative latent workspaces offer an alternative computational paradigm for maintaining, routing, and transforming structured relational information during neural sequence processing. However, repeatedly updating a shared continuous latent workspace across unconstrained recurrent iterations frequently leads to rapid r…

Machine Learning in Materials ScienceGenerative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Mathematical Vacancy Theory

Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)

The concept of vacancies—missing constituents—in physical crystals has inspired a parallel framework in pure mathematics. This paper introduces the Mathematical Vacancy Theory (MVT), a systematic study of missing positions or elements in various mathematical structures and their influence on global properties. We form…

Topological and Geometric Data AnalysisQuasicrystal Structures and PropertiesGraph theory and applications

Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale

Xiaohan Huang、Qingqing Long、Xiaolei Du 等 12 位作者2026-08-20arXiv (Cornell University)

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 representations designed primaril…

Scientific Computing and Data ManagementMachine Learning in Materials ScienceResearch Data Management Practices