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Evaluation Methodology of Open-Pit Mine Overall Slope Failure Risks
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322
Fracture mechanics characterises fibre entanglement
Published 2025-07-01“…Application of the basic principles of fracture mechanics to this test allows a direct quantification of the length scale of entanglement. Our ideas not only improve the assessment of entanglements in fibre composites, but also open pathways for investigating and quantifying entanglement in a large class of fibrous materials.…”
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Carbon dot-assisted synthesis of gold nanoparticles for the development of a detection platform for trichlorfon
Published 2025-07-01“…Various microscopic and spectroscopic techniques were used to characterize the material; sphere-shaped AuNPs formation was confirmed on the CD's surface. …”
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325
An overview of methods to qualitatively and quantitatively characterize the structure of polymer-coated cardboards: Advantages and limitations
Published 2025-04-01“…Understanding and quantifying the complex structure of these multilayered materials is essential for assessing the coating quality and predicting the performance; however, it remains challenging. …”
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Zero‐standby power hydrogen sensing using event‐driven micromechanical switches
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328
Deep learning based segmentation of binder and fibers in gas diffusion layers
Published 2025-01-01“…The result is the quantification of individual voxels as fiber or binder material that can be used, for example, in performance simulations of property simulations in PEMFCs [1–4]. …”
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329
A new journey of fluorescent carbon dots: A shining star in the realm of nucleic acid dyes
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MOF-MoS2 nanosheets doped PEDOT:PSS for organic electrochemical transistors in enhanced glucose sensing and machine learning-based concentration prediction
Published 2025-01-01“…One of the main reasons is the relatively low electronic and ionic conductivity of the channel material. Herein, we present a p-type OECT fabricated by incorporating metal–organic framework (MOF)-MoS _2 hybrid nanosheets into the PEDOT:PSS channel via solution-based processes. …”
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Addressing data scarcity in nanomaterial segmentation networks with differentiable rendering and generative modeling
Published 2025-07-01“…Abstract Nanomaterials’ properties, influenced by size, shape, and surface characteristics, are crucial for their technological, biological, and environmental applications. Accurate quantification of these materials is essential for advancing research. …”
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PBX micro defect characterization by using deep learning and image processing of micro CT images
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336
Hetero-deformation induced (HDI) stress measurement from the plastic dissipation in the hysteresis loops
Published 2025-03-01“…Hetero-deformation induced (HDI) stress is crucial for the strengthening of heterostructured materials (HSMs), making its quantification essential for understanding the heterogeneous deformation mechanisms. …”
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337
Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning
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338
Inverse design of catalytic active sites via interpretable topology-based deep generative models
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339
Fluorimetric determination of quinine using a portable system and digital image processing
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340
Symmetry-mediated quantum coherence of W5+ spins in an oxygen-deficient double perovskite
Published 2025-06-01“…Abstract Elucidating the factors limiting quantum coherence in real materials is essential to the development of quantum technologies. …”
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