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Volatile resistive-switched state in a bulk organic conductor with a sharp metal-insulator transition

Riku Ishii、Ryo Motohashi、Keitaro Tada 等 9 位作者2026-08-20arXiv (Cornell University)

Volatile resistive switching in correlated-electron systems, characterized by an abrupt resistance decrease under applied current, is crucial for developing next-generation electronics. Despite its technological significance, the underlying physics remains elusive. Inorganic thin films on substrates---the widely studi…

Organic Electronics and PhotovoltaicsAdvanced Memory and Neural ComputingOrganic and Molecular Conductors Research

AUTONOMOUS SCIENCE LABORATORIES WITH A UNIFIED SOFTWARE FRAMEWORK AND ROBOTS

Angelos Angelopoulos2026-08-20UNC Libraries

Scientific research in chemistry, materials science, and applied sciences is becoming increasingly complex and data-driven, creating a need for automation that accelerates discoveries and reduces human burden, error, and variability. Realizing this vision is challenging: laboratory tasks demand high precision while al…

Machine Learning in Materials ScienceScientific Computing and Data ManagementMulti-Agent Systems and Negotiation

Chitosan microcapsules for controlled fertiliser delivery

Christopher Thomas Hill2026-08-20Monash University

This thesis details the use of chitosan, a semisynthetic biopolymer, to create emulsion-templated microcapsules. These capsules entail use of specific crosslinker and silica to strengthen chitosan emulsion shells, thus making capsules. Through this work we have made strides in understanding the solution behaviour of c…

Pickering emulsions and particle stabilizationNanocomposite Films for Food PackagingPolymer-Based Agricultural Enhancements

Chitosan–Glycerol Injectable Hydrogel for Intratumoral Delivery of Macromolecules

David A. Zaharoff、Robert L. Kobrin、Desmond J. Zaharoff 等 5 位作者2026-08-20UNC Libraries

Intratumoral injections of macromolecules, such as biologics and immunotherapeutics, show promise in overcoming dose-limiting side effects associated with systemic injections and improve treatment efficacy. However, the retention of injectates in the tumor microenvironment is a major underappreciated challenge. High i…

Nanoplatforms for cancer theranosticsNanoparticle-Based Drug DeliveryHydrogels: synthesis, properties, applications

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°…

Quasicrystal Structures and PropertiesMathematics and Applicationsgraph theory and CDMA systems

Feasibility and recommendations for the use of silicone bands for environmental exposure monitoring in young children

Hadley J. Hartwell、Allison Spring、Heather M. Stapleton 等 12 位作者2026-08-20UNC Libraries

Background Silicone bands offer a non-invasive method for measuring environmental chemicals; however, their feasibility with young children is uncertain. This mixed-methods study examines toddler compliance with silicone bands, identifies predictors of compliance, and offers recommendations for research. Methods Child…

Effects and risks of endocrine disrupting chemicalsContact Dermatitis and AllergiesTextile materials and evaluations

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”…

Material Dynamics and PropertiesPhase Equilibria and ThermodynamicsSpectroscopy and Quantum Chemical Studies

Mathematical Folding Geometry

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

This paper introduces a new conceptual framework for understanding how complex mathematical structures can be represented and manipulated through folding processes. We formalize the notion of a Folding Map, a bijective transformation that compresses a high‑dimensional algebraic or topological object into a lower dimen…

Quasicrystal Structures and PropertiesGeometric and Algebraic TopologyTopological and Geometric Data Analysis

Vascular-Written Neural Pathway: A Living Vascular Guide for Staged Spinal Cord Regeneration

Yoshimitsu Katayama2026-08-20Zenodo (CERN European Organization for Nuclear Research)

This proposal reverses the conventional scaffold logic for spinal cord regeneration. Instead of requiring an artificial scaffold to prescribe the final axonal route, a sparse directional braid defines a permissive negative-space corridor in which perfusable microvessels may self-organize. After vascular continuity, ox…

Neuroscience and Neural EngineeringNerve injury and regenerationElectrospun Nanofibers in Biomedical Applications

Wavelength-dependent kinetics of SI-PET-RAFT polymerization: A mismatch with the absorption of the photocatalyst

Andriy R. Kuzmyn、Khrystyna Rymsha、Quinn A. Besford 等 4 位作者2026-08-20Polymer

Surface-initiated photoinduced electron/energy transfer reversible addition–fragmentation chain-transfer (SI-PET-RAFT) polymerization is a versatile strategy for the preparation of functional polymer-brush coatings. Although eosin Y absorbs broadly across the visible spectrum and is widely used as a photocatalyst for…

Advanced Polymer Synthesis and CharacterizationPolymer Surface Interaction StudiesSurface Modification and Superhydrophobicity

Computational Critical Phenomena

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

This paper investigates the application of computational methods to the study of critical phenomena. We explore algorithms designed to efficiently simulate systems exhibiting phase transitions, focusing on identifying and characterizing critical exponents. The core of the research centers around leveraging advancement…

Block Copolymer Self-AssemblyModel Reduction and Neural NetworksTheoretical and Computational Physics

Computational Critical Phenomena

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

This paper investigates the application of computational methods to the study of critical phenomena. We explore algorithms designed to efficiently simulate systems exhibiting phase transitions, focusing on identifying and characterizing critical exponents. The core of the research centers around leveraging advancement…

Block Copolymer Self-AssemblyTheoretical and Computational PhysicsModel Reduction and Neural Networks

Algorithmic Phase Ordering

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

This paper explores the theoretical framework of Algorithmic Phase Ordering (APO), proposing that computational development follows a constrained, sequential order of phases. The central question investigated is whether distinct computational capabilities emerge only in a specific sequence, rather than through arbitra…

Solidification and crystal growth phenomenaEvolutionary Algorithms and ApplicationsBlock Copolymer Self-Assembly

Mathematical Structure Thermodynamics

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

Thermodynamics has traditionally focused on the macroscopic behavior of physical systems, yet the intricate processes that give rise to complex structures remain largely uncharacterized within this framework. This paper introduces a new conceptual framework, Mathematical Structure Thermodynamics, which extends classic…

Protein Structure and DynamicsAdvanced Physical and Chemical Molecular InteractionsMachine Learning in Materials Science

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…

Machine Learning in Materials ScienceMetaheuristic Optimization Algorithms ResearchModular Robots and Swarm Intelligence

Electrochemical Cell Selection and Experimental Design: A Practical Guide

Evan Yeung2026-08-20Zenodo (CERN European Organization for Nuclear Research)

A practical technical guide for researchers and laboratory teams selecting or specifying electrochemical cells. It covers experiment-driven cell format selection, electrode geometry, reference-electrode placement, uncompensated resistance, gas handling, bubble control, wetted materials, seals, troubleshooting, and a c…

Thermal Expansion and Ionic ConductivityAdvanced battery technologies researchElectrochemical Analysis and Applications

"Focused Ultrasound-Mediated Blood–Brain Barrier Opening for Enhanced Drug Delivery in Diffuse Gliomas: A Narrative Review"

Renata Martinelli、Gabriele Ciaffi、Giovanni Pennisi 等 4 位作者2026-08-20Open MIND

This narrative review synthesises the available clinical evidence on focused ultrasound (FUS)-mediated blood–brain barrier opening (BBBO) for enhanced drug delivery in adult patients with diffuse gliomas (WHO grade II–IV). The blood–brain barrier represents a major obstacle to effective pharmacological treatment of gl…

Ultrasound and Hyperthermia ApplicationsNanoparticle-Based Drug DeliveryNanoplatforms for cancer theranostics

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…

Chemical and Physical Properties of MaterialsQuantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Machine Learning and Multicriteria Optimization for the Optimal Design of Chemical Processes

Farough Agin2026-08-20University of Ottawa - Library

Chemical engineering systems are increasingly characterized by nonlinear behaviour, strong interactions among variables, and growing volumes of experimental, simulated, and literature-derived data. At the same time, many engineering problems involve competing technical objectives and require not only accurate predicti…

Catalysis and Oxidation ReactionsMachine Learning in Materials ScienceProcess Optimization and Integration