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Inter-facial and Structural engineering for High-performance Aqueous Zn ion batteries with functional electrolytes

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

Relational-Perspectival Quantum Reconstruction

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

Stabilisation mechanism of emulsified rubberised asphalt revealed by coarse-grained molecular dynamics

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

Quantifying the Benefits of Water Conservation Posture for North Carolina Frogs

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

Self‐Propelling WO 3 Nanomotors Restore the Gut‐Kidney Axis by Modulating Intestinal Homeostasis in Inflammatory Bowel Disease

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

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…

Domain Adaptation and Few-Shot LearningMachine Learning in Materials ScienceGenerative Adversarial Networks and Image Synthesis

Mirror Chern insulators in two-dimensional altermagnetic Tc$_2$Cl$_2$O and Tc$_2$Br$_2$O

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

FT-MMT-V5工作方程下水体系多本征拐点自洽性预研

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

Structural Depth Theory

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

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

Computational Provenance Sufficiency

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

Magnetic Resonance Imaging as a Tool for Studying Soy-Based Adhesives in Plywood

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

σ_m·γ_m Invariance in Arithmetic Progressions of Primes: Density Self-Containment and the Chebyshev Bias

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

Mathematical Conservation of Distinction – 区分守恒理论

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

Effects of the surface on double surface Fermi arcs in a realistic tight-binding model of Na$_3$Bi (100)

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

Mathematical Vacuum Theory

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

STEREOSELECTIVE CATIONIC POLYMERIZATION: METHOD DEVELOPMENT AND COMPUTATIONALLY GUIDED MECHANISTIC STUDIES

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

Protein size and geometry govern mutational robustness

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

Efficient Graph Neural Networks for Predicting Chemistry

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

Gap spectra and densities of slow Fibonacci walks

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