Federica Zammillo、Hilmar Guzmán、Nigel Patterson 等 12 位作者2026-08-20Journal of CO2 Utilization
Solar-driven CO2 reduction technologies face unique challenges when transitioning from laboratory to prototype scale. In the European Union-funded SunCoChem project, efforts focused on designing and validating a reactor for CO2 conversion to syngas with a suitable ratio, with an area up to 2,400 cm2, for subsequent up…
Advancements in Solid Oxide Fuel CellsCO2 Reduction Techniques and CatalystsElectrocatalysts for Energy Conversion
Michael García-Rodríguez、Javier Rodeiro-Iglesias、Juan Antonio Añel2026-08-20Geoscientific model development
Abstract. This study extends previous research on CMIP5 models to investigate the reproducibility of climate models within the Coupled Model Intercomparison Project (CMIP). It evaluates the accessibility to the source code of the CMIP models through all their phases, emphasizing the need for public repositories to ens…
Machine Learning in Materials ScienceResearch Data Management PracticesScientific Computing and Data Management
Konrad Sakowski、Cyprian Sobczak、Paweł Strąk 等 8 位作者2026-08-20Electronics
Optical absorption and reabsorption of light emitted from the active regions in nitride laser diodes (LDs) reduce the light extraction efficiency of these devices. The presence of Si and Mg can considerably increase optical absorption, an effect that is much stronger in the high-energy (short-wavelength) spectral rang…
Semiconductor Quantum Structures and DevicesAdvanced Fiber Laser TechnologiesSilicon Nanostructures and Photoluminescence
Yongliang Ou、Lena Scholz、Sanath Keshav 等 10 位作者2026-08-20Nature Communications
Abstract Improving solid electrolytes is critical for high-performance all-solid-state batteries, yet the microstructural features that enable fast ion transport remain poorly understood. Here, we use multiscale modeling to resolve polycrystalline ion transport from atomic-scale hopping at grain boundaries to continuu…
Thermal Expansion and Ionic ConductivityMachine Learning in Materials ScienceAdvanced Battery Materials and Technologies
Motoya Shinozaki、Akitomi Shirachi、Yuta Kera 等 10 位作者2026-08-20npj 2D Materials and Applications
Abstract Two-dimensional (2D) materials are attractive platforms for realizing high-performance quantum bits (qubits). However, radio-frequency (RF) charge detection, which is a key technique for qubits readout, remains challenging in such systems. We demonstrate RF reflectometry with impedance matching for high-resis…
Quantum and electron transport phenomenaGraphene research and applications2D Materials and Applications
Kota Yoshimura、Tzu-Chi Hsieh、Huiyang Ma 等 19 位作者2026-08-20ACS Nano
Abstract The Pauli limiting field imposed by the Zeeman effect bounds the upper critical field of weak-coupling superconductivity. It is determined by setting the condensation energy equal to the paramagnetic energy and scales inversely with the effective g-factor. Here, we demonstrate that in a few-layer-thick van de…
Superconductivity in MgB2 and AlloysTopological Materials and PhenomenaIron-based superconductors research
G. Savini、Peter Hargrave、Peter A. R. Ade 等 8 位作者2026-08-20OpenAlex
We present a novel metamaterial telescope composed exclusively of thin, flat elements, each being a tested hot-pressed photo-lithographic structure combining the properties of a lens, tuned anti-reflection and frequency selection or filtering. We discuss the design process from ab-initio physical metamaterial properti…
Photonic and Optical DevicesOptical Coatings and Gratings
Yiming Li、Wenbin Li、Bihui Hong 等 6 位作者2026-08-20Metals
In this study, the mechanical responses of two tungsten-based alloys, 84W-11.2Ni-4.8Fe and 88W-8.4Ni-3.6Fe, fabricated via selective laser melting (SLM), were systematically investigated under elevated temperatures (298–598 K) and high strain rates (1×10⁻³ s⁻¹ to 2.3×10³ s⁻¹). A combination of quasi-static tests using…
Fusion materials and technologiesTitanium Alloys Microstructure and PropertiesAdvanced materials and composites
Álvaro Gutiérrez2026-08-20Combinatorial Theory
To find crystals of \(\mathfrak{sl}_2\) representations of the form \(\Lambda^n\operatorname{Sym}^r\mathbb{C}^2\) it suffices to solve the combinatorial problem of decomposing the Young lattice into symmetric, saturated chains. We review the literature on this latter problem, and present a strategy to solve it. For \(…
Electronic and Structural Properties of OxidesSeismology and Earthquake StudiesSeismic Imaging and Inversion Techniques
Wanliang Yang、Jingwei Bi、Xinxin Ji 等 15 位作者2026-08-20Bioactive Materials
Background: Bacterial infection and insufficient osseointegration of titanium-based implants remain major clinical challenges. Conventional drug-loaded coatings often fail to simultaneously achieve long-term antibacterial activity and the construction of an osteogenic microenvironment.Methods: In this study, a graphen…
Graphene and Nanomaterials ApplicationsBone Tissue Engineering MaterialsAdvanced Nanomaterials in Catalysis
Haoyang Wu、Jonathan W. Zheng、Hao‐Wei Pang 等 27 位作者2026-08-20Journal of the American Chemical Society
Abstract High-fidelity quantum chemical (QM) data sets that jointly resolve reaction thermochemistry, kinetics, and solvation at scale remain scarce, especially for radical chemistry. We introduce QuantumPioneer, an open-access reaction-centered QM database and workflow for small organic molecules, focused on peroxyl-…
Free Radicals and AntioxidantsMachine Learning in Materials ScienceMetal-Catalyzed Oxygenation Mechanisms
Nathan Ryan Young2026-08-20Zenodo (CERN European Organization for Nuclear Research)
A version number is a claim about provenance, and published weights can be checked for CONSISTENCY with it: endpoint continuity (how strongly two released endpoints correlate tensor-by-tensor) and aligned update geometry (how two releases' deltas from a common ancestor relate element-wise). Neither is training-history…
Genomics and Phylogenetic StudiesMachine Learning in Materials ScienceScientific Computing and Data Management
TextPulse Research2026-08-20Zenodo (CERN European Organization for Nuclear Research)
Working paper and evidence data. Five current model families (DeepSeek, Mistral, OpenAI, Anthropic, Gemini; 2026) audited under one protocol across 30 academic topics. Condition A verified all 194 author-year citations the models embedded in prose (none fabricated after adjudication). Condition B verified 1,500 one-sh…
Explainable Artificial Intelligence (XAI)Machine Learning in Materials ScienceArtificial Intelligence in Healthcare and Education
Jiebin Wang、Chujie Zhang、Yugao Wang 等 6 位作者2026-08-20AIChE Journal
Abstract The efficient adsorption separation of CH 4 /N 2 from low‐concentration methane mixtures is a crucial prerequisite for its resource utilization. However, the separation performance of the common adsorbents would be severely weakened under humid conditions. Herein, a series of hydrophobic and porous organic po…
Covalent Organic Framework ApplicationsCarbon Dioxide Capture TechnologiesMetal-Organic Frameworks: Synthesis and Applications
Shin Tamaki2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This paper presents a five-layer generative geometry linking logical forms, quantum numbers, magnetic ordering, and crystal symmetries. A cubic model provides the base structure, extended by hierarchical layers and two TikZ diagrams illustrating the unified framework.
Topological Materials and PhenomenaQuasicrystal Structures and PropertiesAdvanced Condensed Matter Physics
Masahiro Shibuta、Maximilian Schaal、Marco Gruenewald 等 7 位作者2026-08-20arXiv (Cornell University)
Atomic-scale corrugation in two-dimensional materials can modify interfacial electronic coupling, yet its influence on ultrafast carrier relaxation remains poorly established. Here, we compare image potential states (IPS) at monolayer h-BN/Ir(111) and h-BN/Pt(111) interfaces using structural characterization and time-…
Surface and Thin Film Phenomena2D Materials and ApplicationsGraphene research and applications
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
Renormalization has long been a cornerstone of theoretical physics, providing a systematic framework to remove infinities that arise in the description of physical systems across multiple scales. In mathematics, however, the phenomenon of infinite complexity emerges naturally in various contexts, ranging from fractal…
Quasicrystal Structures and PropertiesAdvanced Mathematical Theories and ApplicationsMathematical Dynamics and Fractals
Jincheng Zhang2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This paper introduces the concept of Computational Order Rigidity (COR), a theoretical framework designed to explore the inherent constraints on algorithmic computation based on the specific ordering of input data. The core idea is that if a particular permutation of a set of elements allows for a definitive and uniqu…
Quasicrystal Structures and PropertiesInterconnection Networks and SystemsCellular Automata and Applications
Wen-Ju Cui、Mei-Zhen Wang、Ya‐peng Dong 等 8 位作者2026-08-20Polymer Engineering and Science
ABSTRACT Focused on physically recycled poly(ethylene terephthalate) (rPET), the study sought to address the issues of crystallization and mechanical property degradation occurring in the mechanical recycling process by adding organic nucleating agents. The rPET/nucleating agent blends were prepared by the melt blendi…
biodegradable polymer synthesis and propertiesMicroplastics and Plastic PollutionPolymer crystallization and properties
Raihana belkacem2026-08-20Zenodo (CERN European Organization for Nuclear Research)
This work introduces a Physics-Informed Neural Network (PINN) framework tailored for solving the Schrödinger equation in quantum mechanical systems. By incorporating the fundamental physical laws governed by the Schrödinger equation directly into the loss function, the model accurately predicts quantum wave functions…
Quantum many-body systemsModel Reduction and Neural NetworksMachine Learning in Materials Science