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A single design choice determines whether machine learning models of materials make physically impossible predictions

Can Polat、Mustafa Kurban、Erchin Serpedin 等 4 位作者2026-08-19arXiv (Cornell University)

Machine-learned models are replacing first-principles calculations across materials discovery, and physical symmetry is the central guarantee built into them. The debate over how much symmetry to hard-wire rather than learn has run on rotations, where a symmetry error is an approximation error. Some constraints are ex…

Material Selection and PropertiesMachine Learning in Materials ScienceModel Reduction and Neural Networks

Electronic and chemical phase identification in photoemission experiments using unsupervised machine learning

Matthew Staab、Joseph Pandur、Eli Rotenberg 等 6 位作者2026-08-19arXiv (Cornell University)

Vacuum ultraviolet photoemission spectroscopies are very information-rich experiments, but due to their surface sensitivity, data are often collected on an initially uncharacterized surface. Traditional raster-grid approaches for locating optimal measurement regions can be time-consuming. In this work, we introduce AA…

Machine Learning and Data ClassificationGaussian Processes and Bayesian InferenceMachine Learning in Materials Science

The Interplay Between Electrical Conductivity and Electrical Thermal Conductivity in Strontium Titanate Compounds for Enhanced Thermoelectric Power Generation

Adindu C. Iyasara、John N. Nweke、Levi C. Agbo 等 5 位作者2026-08-19Iconic Research and Engineering Journals

The thermoelectric (TE) performance of strontium titanate (SrTiO3)-based compounds is fundamentally determined by the interplay between electrical conductivity (σ) and electronic thermal conductivity (KE), two transport parameters that collectively govern charge and heat flow during thermoelectric power generation. As…

Advanced Thermoelectric Materials and DevicesThermal Expansion and Ionic ConductivityMagnetic and transport properties of perovskites and related materials

Polarization controlled second harmonic generation imaging of stretched collagen fibrils reveals collagen deformation pathway in situ

MacAulay Harvey、Konstantin Roeder、Richard Cisek 等 5 位作者2026-08-19arXiv (Cornell University)

The tensile properties of single collagen fibrils, the building block of load-bearing tissues, have been studied extensively by nanomechanical techniques and molecular dynamics simulation. However, the deformation pathway of collagen molecules within fibrils has not yet been observed experimentally. In addition, the r…

Advanced Fluorescence Microscopy TechniquesCollagen: Extraction and CharacterizationBone health and osteoporosis research

Extension of the Shockley-Queisser Limit for Nanostructured Solar Cells

Rivo Herivola Manjakamanana Ravelonjato、J.P. Rakotoniaina、Ravo Tokiniaina Ranaivoson 等 4 位作者2026-08-19arXiv (Cornell University)

This article extends the Shockley-Queisser limit to nanostructured solar cells using the quantum phase space formalism. The parameter B_ll represents the momentum variance in each confinement direction and acts as a variance-covariance matrix linking the nanostructure geometry to thermodynamic properties. Electron-ele…

Chalcogenide Semiconductor Thin FilmsQuantum Dots Synthesis And PropertiesNanowire Synthesis and Applications

Dynamic Ensembles of Phosphine-Stabilized Gold Nanoclusters

Caitlin A. McCandler、Disha Sanwal、Jutta Rogal2026-08-19arXiv (Cornell University)

Atomically precise phosphine-stabilized gold nanoclusters are commonly characterized by single-crystal X-ray diffraction, yet the extent to which these static structures represent finite-temperature behavior remains unclear. To explore the free-energy landscapes, equilibrium populations, and isomerization kinetics of…

Machine Learning in Materials ScienceGold and Silver Nanoparticles Synthesis and ApplicationsNanocluster Synthesis and Applications

Altermagnetic memcapacitors

Martin Latorre、Álvaro S. Núñez2026-08-19arXiv (Cornell University)

We propose a spintronic memcapacitance effect based upon altermagnetic multiferroic materials. We identify the rare-earth vanadates RVO$_3$ as a concrete platform, with all key parameters tied to measured properties. Under an oscillating electric field, the resulting charge and spin currents trace pinched hysteresis l…

Multiferroics and related materialsMagnetic properties of thin filmsMagnetic and transport properties of perovskites and related materials

Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis

Bogdan Zagribelnyy、Ivan Ilin、Nikita Bondarev 等 8 位作者2026-08-19arXiv (Cornell University)

Single-step retrosynthesis is a central component of computer-aided synthesis planning, yet its intrinsically one-to-many nature is poorly captured by single-answer evaluation and benchmarking protocols. To address this, we introduce Top-K prompting as a robust training and inference paradigm to better capture diverse…

Asymmetric Hydrogenation and CatalysisMachine Learning in Materials ScienceComputational Drug Discovery Methods

Preparation and Evaluation of Docetaxel-Loaded Targeted Poly (β‑amino Ester) – Magnetic Nanoparticles for Chemo‑Magnetodynamic Therapy Under Low‑Frequency Magnetic Fields

Nafiseh Sarkhosh、Mohammad Reza Kandi、Akram Mahna 等 4 位作者2026-08-19Dove Medical Press (Taylor and Francis Group)

Nafiseh Sarkhosh,1 Mohammad Reza Kandi,2 Akram Mahna,3 Roya Salehi21Medical Physics Department, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran; 2Department of Medical Nanotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran; 3Stem Cell Research…

Nanoparticle-Based Drug DeliveryUltrasound and Hyperthermia ApplicationsCharacterization and Applications of Magnetic Nanoparticles

Tunable inter-bilayer magnetic correlations and candidate multipolar physics in the van der Waals oxyhalides DyOCl, DyOBr, and DyOI

F. C. Brooks、X. Bai、J. Bacsa 等 8 位作者2026-08-19arXiv (Cornell University)

Rare-earth van der Waals magnets provide a route to combining strong spin-orbit coupling, large magnetic moments, and reduced dimensionality in bulk crystals. We report a comparative study of the dysprosium oxyhalides DyOX (X = Cl, Br, I), which realize square-bilayer networks of Dy3+ moments separated by a tunable va…

2D Materials and ApplicationsAdvanced Condensed Matter PhysicsRare-earth and actinide compounds

Photothermal-Responsive and Flame-Retardant CB/APP/PNIPAM Electrospun Composite Membrane for Efficient Oil–Water Separation

Ting‐Ting Li、Dingyi Liu、Mengdan Jia 等 8 位作者2026-08-19Langmuir

Abstract Multifunctional membranes with rapid responsiveness and high fire safety are highly desirable for oil–water separation, yet integrating photothermal responsiveness, thermoresponsive wettability, and flame retardancy into a single membrane remains challenging. Herein, a multifunctional CB/APP/PNIPAM@PP composi…

Solar-Powered Water Purification MethodsSurface Modification and SuperhydrophobicityPickering emulsions and particle stabilization

Ultrawide-FOV full-color waveguides free of rainbow and fishbone artifacts via physics-constrained generative metagrating design

Mengguang Wang、Yong Li、Huihui Li 等 12 位作者2026-08-19Science Advances

Augmented reality (AR) displays are gaining prominence in consumer and industrial applications due to two-dimensional pupil-expanding waveguides, which achieve the essential dual requirements of compact form factors and large eyebox through innovative dual-axis beam replication technology. Nevertheless, these systems…

Advanced Optical Imaging TechnologiesMetamaterials and Metasurfaces ApplicationsPhotonic Crystals and Applications

Transparent and Conductive Silver Nanowire Cavity-Based Glass for High Electromagnetic Interference Shielding

Jizhe Zhang、Chengzhou Zhang、Yu Feng 等 7 位作者2026-08-19ACS Applied Materials & Interfaces

Transparent electromagnetic shielding windows with high optical transmittance and strong electromagnetic interference (EMI) suppression are essential for modern electronics. Herein, cavity-based silver nanowire (AgNW)-coated glass was developed to enhance EMI shielding while maintaining high transparency. AgNWs were s…

Metamaterials and Metasurfaces ApplicationsAdvanced Antenna and Metasurface TechnologiesElectromagnetic wave absorption materials

A Dynamic Impact Simulation Method for Titanium-Based Functionally Graded Composites Based on Abaqus/Explicit: Parametric Analysis, Mesh Strategy, Numerical Artifact Mitigation, and CAE Modeling

Xinghai Shao、Wenyan Wang、Jingpei Xie 等 5 位作者2026-08-19Materials

Homogeneous TC4 titanium alloy suffers from the strength–ductility trade-off and exhibits insufficient anti-penetration capacity under high-strain-rate impact. TiCp-reinforced functionally graded titanium matrix composites (FGTMCs) with a “hard outer, tough inner” gradient architecture are promising lightweight armor…

Cellular and Composite StructuresHigh-Velocity Impact and Material BehaviorNonlocal and gradient elasticity in micro/nano structures

Artificial Intelligence-Driven Multiscale Design of Protein-Based Materials

Xinzhi Zhou、Chen Zhao、Qiang Zhang 等 4 位作者2026-08-19Bioconjugate Chemistry

Abstract Protein filaments, including silk, collagen, and amyloids, are natural building blocks whose hierarchical self-assembly produces adaptive mechanics and diverse functions. Conventional protein engineering has had limited success in resolving sequence-structure-function relationships across length scales. Recen…

Bacteriophages and microbial interactionsSilk-based biomaterials and applicationsSupramolecular Self-Assembly in Materials

From Human Hypotheses to LLM Insights: Advancing Bayesian Optimisation for Autonomous Scientific Discovery

A. Cisse2026-08-19University of Liverpool

Experimental science increasingly encounters a familiar tension: combinatorially large search spaces for experiments with limited evaluation budgets. Chemistry provides a clear example in reaction optimisation, where the number of tunable variables and their combinatorial interactions render exhaustive experimentation…

Machine Learning in Materials ScienceMachine Learning and Data ClassificationAdvanced Bandit Algorithms Research

Reversible-Irreversible Catalyst Deactivation Model (RICDM)

begüm yıldırım2026-08-19Zenodo (CERN European Organization for Nuclear Research)

This paper develops a revised mathematical solution framework for the chemistry challenge "Prevent catalyst poisoning and deactivation without sacrificing activity?". The proposed Reversible-Irreversible Catalyst Deactivation Model (RICDM) was constructed after an earlier formulation failed or remained only partially…

Environmental remediation with nanomaterialsCatalytic Processes in Materials ScienceOxidative Organic Chemistry Reactions

Biomass ash-based organomineral fertilization improves morphophysiological performance of marandu grass in contrasting soil classes

Rosana Andréia da Silva Rocha、Edna Maria Bonfim-Silva、Niclene Ponce Rodrigues de Oliveira 等 11 位作者2026-08-19Journal of Plant Nutrition

Organomineral fertilizers are an alternative source of nutrients for sustainable soil fertility management. This study evaluated the effects of different rates of biomass ash-based organomineral fertilizer on morphophysiological traits and SPAD (Soil Plant Analysis Development) readings of Marandu grass cultivated in…

Silicon Effects in AgricultureSoil Management and Crop YieldClay minerals and soil interactions

Topological Suture, Dual Gravity and Divergent Lensing in UCT Quasicrystalline Cosmology v6.1.4

Pascal Moulin2026-08-19Zenodo (CERN European Organization for Nuclear Research)

🇬🇧 Abstract (English) Title: Topological Suture, Dual Gravity and Divergent Lensing in UCT Quasicrystalline Cosmology v6.1.4 Abstract (English) Within the framework of the Topological Crystal-Universe (UCT v6.1.4), the macroscopic structure of spacetime is modeled by the Poincaré dodecahedral space $\mathcal{M}_{\text…

Quasicrystal Structures and PropertiesBlack Holes and Theoretical PhysicsAdvanced Mathematical Theories and Applications

Analysis of the thermal properties of magnesium alloy with the addition of noble and rare-earth elements

J. Popis、O. Starczewska、J. Wiśniewski 等 7 位作者2026-08-19Journal of Thermal Analysis and Calorimetry

The study of the thermal properties of magnesium alloys is crucial for several reasons, particularly in their applications across the aerospace, automotive, biomedical, and electronics industries. Thermal analyses allow the determination of phase transformation temperatures and thermal stability, which indirectly indi…

Aluminum Alloys Composites PropertiesMagnesium Alloys: Properties and ApplicationsHydrogen Storage and Materials