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In this study, we propose a novel approach for investigating the formation of solid electrolyte interphase (SEI) in Na-ion batteries (NIB) through the coupling of in situ liquid electrochemical transmission electron microscopy (ec-TEM) and…

Semi-supervised semantic segmentation involves assigning pixel-wise labels to unlabeled images at training time. This is useful in a wide range of real-world applications where collecting pixel-wise labels is not feasible in time or cost.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Jianfeng Wang , Daniela Massiceti , Xiaolin Hu , Vladimir Pavlovic , Thomas Lukasiewicz

Hexagonal boron nitride (hBN) has emerged as a promising material platform for nanophotonics and quantum sensing, hosting optically-active defects with exceptional properties such as high brightness and large spectral tuning. However,…

Accurate determination of three-dimensional (3D) atomic structures is crucial for understanding and controlling the properties of nanomaterials. Atomic electron tomography (AET) offers non-destructive atomic imaging with picometer-level…

Materials Science · Physics 2025-06-23 Juhyeok Lee , Yongsoo Yang

Semantic segmentation of electron microscopy (EM) images of biological samples remains a challenge in the life sciences. EM data captures details of biological structures, sometimes with such complexity that even human observers can find it…

Computer Vision and Pattern Recognition · Computer Science 2025-11-03 Sheida Rahnamai Kordasiabi , Damian Dalle Nogare , Florian Jug

The primary mechanism of optical memristive devices relies on the phase transitions between amorphous-crystalline states. The slow or energy hungry amorphous-crystalline transitions in optical phase-change materials are detrimental to the…

Understanding microstructure-property relationships (MPRs) is essential for optimising the performance of multiphase composites. Image-based poro/micro-mechanical modelling provides a non-invasive approach to exploring MPRs, but the…

Applied Physics · Physics 2025-01-22 Jinlong Fu , Wei Tan

Despite the ever-increasing use across different sectors, the lithium-ion batteries (LiBs) have continually seen serious concerns over their thermal vulnerability. The LiB operation is associated with the heat generation and buildup effect,…

Applied Physics · Physics 2017-09-27 Ning Tian , Huazhen Fang , Yebin Wang

Li-ion battery performance is strongly influenced by their cathodes' properties and consequently by the 3D microstructure of the particles the cathodes are comprised of. During calendaring and cycling, cracks develop within cathode…

Hierarchical biomaterials embody nature's intricate design principles, offering advanced functionalities through the complex, multi-level organization of their molecular and nanosized building blocks. However, the comprehensive…

Mesoscale and Nanoscale Physics · Physics 2024-07-10 Matteo Busi , Elisabetta Nocerino , Agnes Åhl , Lennart Bergström , Markus Strobl

Aberration-corrected environmental transmission electron microscopy (ETEM) enables atomic-resolution imaging of dynamic catalytic processes. Correlating atomic-scale structural changes with reaction products detected by mass spectrometry…

Plan-view transmission electron microscopy (TEM) samples are key to understand the atomic structure and associated properties of materials along their growth orientation, especially for thin films that are stain-engineered onto different…

Applied Physics · Physics 2024-01-08 Supriya Ghosh , Fengdeng Liu , Sreejith Nair , Bharat Jalan , K. Andre Mkhoyan

Extracting high-fidelity 2D contours from Scanning Electron Microscope (SEM) images is critical for calibrating Optical Proximity Correction (OPC) models. While foundation models like Segment Anything 2 (SAM2) are promising, adapting them…

Hardware Architecture · Computer Science 2026-04-21 Da Chen , Guangyu Hu , Kaihong Xu , Kaichao Liang , Songjiang Li , Wei Yang , XiangYu Wen , Mingxuan Yuan

The non-destructive characterization of nanoscale devices, such as those based on semiconductor nanowires, in terms of functional potentials is crucial for correlating device properties with their morphological/materials features, as well…

Mesoscale and Nanoscale Physics · Physics 2018-10-10 Daniel Wolf , René Hübner , Tore Niermann , Sebastian Sturm , Paola Prete , Nico Lovergine , Bernd Büchner , Axel Lubk

Nanotechnology research requires the routine use of characterization methods with high spatial resolution. These experiments are rather costly, not only from the point of view of the expensive microscopes, but also considering the need of a…

Materials Science · Physics 2015-10-12 M. J. Lagos , P. C. da Silva , D. Ugarte

With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive research interests. The exponential growth of medical images and…

Computer Vision and Pattern Recognition · Computer Science 2020-10-08 Xiao Kang , Xingbo Liu , Xiushan Nie , Yilong Yin

Structural and compositional inhomogeneity is common in zeolites and considerably affects their properties. Conventional transmission electron microscopy (TEM) cannot provide sufficient information on local structures in zeolites due to the…

Beyond active material intrinsic properties, the electrode manufacturing process is a crucial step to reach high energy density and long-life of Li-ion batteries. In particular, very high pressures are applied to the electrode during the…

Materials Science · Physics 2026-02-19 Pierrick Guichard , Benoit Mathieu , Eric Woillez

Further technological advancement of both lithium-ion and emerging battery technologies can be catalyzed by an improved understanding of the chemistry and working mechanisms of the solid electrolyte interphases (SEIs) that form at…

The construction industry represents a major sector in terms of resource consumption. Recycled construction material has high reuse potential, but quality monitoring of the aggregates is typically still performed with manual methods.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Yu Zhou , Pelle Thielmann , Ayush Chamoli , Bruno Mirbach , Didier Stricker , Jason Rambach
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