Xinyi Wang2026-08-20Research Online (University of Wollongong)
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 climate, time, space, and…
Chemical and Physical Properties of MaterialsAdvanced Battery Technologies ResearchAdvanced battery technologies research
Minglai Man2026-08-20Zenodo (CERN European Organization for Nuclear Research)
Quantum-reconstruction programmes normally begin after several structures have already stabilised: a system type, a tensor-product composition rule, an operational perspective, and a reference-frame regime. Quantum-reference-frame (QRF) research, by contrast, shows that precisely these structures may depend on physica…
Quantum Computing Algorithms and ArchitectureQuantum Information and CryptographyChemical and Physical Properties of Materials
Xinyu Wang、Xiongjie Li、Zhengwu Long 等 6 位作者2026-08-20Road Materials and Pavement Design
To address the limitations of the long-standing reliance on inefficient trial-and-error testing in the formulation of emulsified asphalt, this study combined coarse-grained molecular dynamics (CGMD) simulations with macroscopic experiments to investigate the formation stability of emulsified rubberised asphalt (ERA) a…
Asphalt Pavement Performance EvaluationEnhanced Oil Recovery TechniquesPolymer Nanocomposites and Properties
Ella Wagner2026-08-20UNC Libraries
Dehydration is a constant risk for terrestrial animals. Due to the fact that amphibian skin is permeable, frogs lose large amounts of water via evaporative water loss (EWL). Frogs reduce EWL through a variety of physiological and behavioral factors. Treefrogs in particular exhibit a unique change in posture that reduc…
Physiological and biochemical adaptationsSurface Modification and SuperhydrophobicityAmphibian and Reptile Biology
Lin Zhang、Yongsheng Du、Xiaojun Dong 等 15 位作者2026-08-20Advanced Healthcare Materials
ABSTRACT Inflammatory bowel disease (IBD) was a chronic idiopathic disorder affecting the ileum, rectum, and colon, characterized by substantial disruptions in the gut microbiota that ultimately led to dysbiosis. Such microbial imbalance compromised intestinal barrier integrity, facilitating the translocation of enter…
Micro and Nano RoboticsAdvanced Nanomaterials in CatalysisNanoplatforms for cancer theranostics
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…
Domain Adaptation and Few-Shot LearningMachine Learning in Materials ScienceGenerative Adversarial Networks and Image Synthesis
Rong Wang、Ruo-Yu Ning、Zhi-Hua Yan 等 4 位作者2026-08-20arXiv (Cornell University)
The interplay between altermagnetism and crystalline band topology provides an intriguing avenue for realizing unconventional topological phases with distinctive spin-dependent properties. Here, based on first-principles calculations and theoretical analysis, we identify monolayer $\mathrm{Tc}_2X_2\mathrm{O}$ ($X$ = C…
Advanced Condensed Matter PhysicsTopological Materials and PhenomenaElectronic and Structural Properties of Oxides
Futao Zhao2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This work presents a preliminary research outcome combining Zhao Futao’s Material‑Memory Meta‑Axiom (FT‑MMT) and the V5 generalized potential‑barrier equation. Building on the previous preprint “Calibration of material‑memory parameters for water’s volume‑extremum inflection point at 3.98 ℃ under atmospheric pressure”…
Spectroscopy and Quantum Chemical StudiesMaterial Dynamics and PropertiesPhase Equilibria and Thermodynamics
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
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…
Quasicrystal Structures and PropertiesHomotopy and Cohomology in Algebraic TopologyTopological and Geometric Data Analysis
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
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
The problem of verifying the provenance of a computational result – ensuring it originates from a specific computation – is a fundamental challenge in ensuring trust and accountability in complex systems. This paper explores the concept of "Computational Provenance Sufficiency," defining it as the minimum amount of hi…
Machine Learning in Materials ScienceScientific Computing and Data ManagementResearch Data Management Practices
J. J. Marcinko、A. A. Parker、James H. P. Collins 等 4 位作者2026-08-20Preprints.org
Magnetic Resonance Imaging (MRI) is a well-established technique used in medical applications and bio-based research. It has also been used to study wood and composite materials of various types. We have employed MRI to study soy adhesives in water-soaked plywood composites in an attempt to gain insight into the sensi…
Natural Fiber Reinforced CompositesWood Treatment and PropertiesLignin and Wood Chemistry
Shiqiang Chen2026-08-20Zenodo (CERN European Organization for Nuclear Research)
Revision v3 — corrected interpretation. This revision removes the erroneous baseline-correction claim from v2. The original v1 baseline comparison was correct: the full prime sequence (including 2 and 3) is the appropriate baseline, and comparing against it yields the correct ΔVinf values (-0.06% for 4n+1, +0.03% for…
Analytic Number Theory ResearchX-ray Diffraction in CrystallographyProbability and Statistical Research
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
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…
Quasicrystal Structures and PropertiesTopological and Geometric Data AnalysisHomotopy and Cohomology in Algebraic Topology
Vasilios K. Passias、Lucas K. Wagner2026-08-20arXiv (Cornell University)
Na$_3$Bi is a topological Dirac semimetal (TDSM) that can support double surface Fermi arcs (DSFAs), which are important for its material classification and their potential use in spintronic devices. However, it is unclear how the surfaces affect realistic Na$_3$Bi (100) systems. To investigate the effects of diverse…
Graphene research and applicationsTopological Materials and PhenomenaChemical and Physical Properties of Materials
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
The concept of vacuum has long been a cornerstone in both physics and mathematics, yet its interpretation remains largely divergent across disciplines. In physics, vacuum is often perceived as an absence of matter, whereas in mathematics, structures deemed "empty" are still considered rich with potential. This paper i…
Structural Analysis and OptimizationQuasicrystal Structures and PropertiesComputability, Logic, AI Algorithms
Cole C. Sorensen2026-08-20UNC Libraries
I. Background and Introduction The stereochemistry of a polymer has a profound impact on its thermomechanical, optical, and electronic properties. Asymmetric ion-pairing (AIP) catalysis is emerging as an effective strategy to control the stereochemistry of polymers made through chain growth polymerization of vinyl mon…
Photopolymerization techniques and applicationsAdvanced Polymer Synthesis and CharacterizationConducting polymers and applications
Srijita Acharya、Sucharita Dey2026-08-20bioRxiv (Cold Spring Harbor Laboratory)
A fundamental question in structural biology centres around understanding protein evolution. Key to this process is mutational robustness, defined as the protein fold's ability to absorb sequence changes without collapsing its structure. Here, we show that robustness is systematically shaped by simple features such as…
Enzyme Structure and FunctionProtein Structure and DynamicsEvolution and Genetic Dynamics
Teng Jiek See2026-08-20Monash University
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 internally. By inventing…
Advanced Graph Neural NetworksComputational Drug Discovery MethodsMachine Learning in Materials Science
Yaping Mao、Qinghong Zhao2026-08-20arXiv (Cornell University)
Let $F_1=F_2=1$ and $F_{t+2}=F_{t+1}+F_t$ for $t\geq1$. For every $n\geq2$, there are unique integers $a,b,t$ such that $n=aF_t+bF_{t-1}$ with $t\geq2$ and $1\leq a\leq b\leq F_t$. The Fibonacci walk with initial pair $(b,a)$ reaches $n$ as late as possible, and the term following $n$ in this walk is $\lfloorϕn\rfloor…
semigroups and automata theoryQuasicrystal Structures and PropertiesAdvanced Mathematical Theories and Applications