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| 1 | Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images显示文摘The segmentation of tomographic images of the battery electrode is a crucial processing step,which will have an additional impact on the results of material characterization and electrochemical simulation.However,manually labeling X-ray CT images(XCT)is time-consuming,and these XCT images are generally difficult to segment with histographical methods.We propose a deep learning approach with an asymmetrical depth encode-decoder convolutional neural network(CNN)for real-world battery material datasets.This network achieves high accuracy while requiring small amounts of labeled data and predicts a volume of billions voxel within few minutes.While applying supervised machine learning for segmenting real-world data,the ground truth is often absent.The results of segmentation are usually qualitatively justified by visual judgement.We try to unravel this fuzzy definition of segmentation quality by identifying the uncertainty due to the human bias diluted in the training data.Further CNN trainings using synthetic data show quantitative impact of such uncertainty on the determination of material’s properties.Nano-XCT datasets of various battery materials have been successfully segmented by training this neural network from scratch.We will also show that applying the transfer learning,which consists of reusing a well-trained network,can improve the accuracy of a similar dataset. | Zeliang Su Etienne Decencière Tuan-Tu Nguyen Kaoutar El-Amiry Vincent De Andrade Alejandro A.Franco Arnaud Demortière | 2022 | npj Computational Materials2022，，1： | 2 |
| 2 | 查看详情显示文摘 | Hamid S A Derouane E G Demortier G | | 0，，： | 1 |
| 3 | Increase of enamel fluoride retention by low fluence argon laser in vivo显示文摘 | Nammour S Demortier G Florio P | 2003 | Lasers Surg Med2003，33，4： | 1 |
| 4 | Size-dependent properties of magnetic iron oxide nanocrystals显示文摘 | Demortière A Panissod P Pichon BP | 2011 | Nanoscale2011，3，1： | 1 |
| 5 | Functionalization of sin gle-walled carbon nanotubes by using alkyl-halides显示文摘 | Barthos R Mehn Demortier A | | 0，，02： | 1 |
| 6 | Reduction of S3- and S- polysulfide ions in liquid ammonia 显示文摘 | Levillain E Demortier A Lelieur J P | 1995 | J Electroanal Chem1995，394，： | 1 |
| 7 | Electrochemi- cal and spectroelectrochemical study of the oxidation of S- and S- ions in liquid ammonia 显示文摘 | Levillain E Gaillard F Demortier A | 1996 | J Elec- troanal Chem1996，405，： | 1 |
| 8 | Infrared evidence for the formation of an intermediate compound during the synthesis of zeolite Na-A from metakaolin Duhayon显示文摘 | A Demortier N Gobeltz J P Lelieur C | 1999 | International Journal of Inorganic Materials1999，1，2： | 1 |
| 9 | Functionalization of single -walled carbon nanotubes by using alkyl-halides显示文摘 | BARTFIOS R DEMORTIER A PIERARD N | 2005 | Carbon2005，43，2： | 1 |
| 10 | Functionalization of single-walled carbon nanotubes by using alkyl-halides显示文摘 | Barthos R Me′hn D Demortier A | 2005 | Carbon2005，43，： | 1 |
| 11 | Self-supervised image quality assessment for X-ray tomographic images of Li-ion battery显示文摘Image perception plays a fundamental role in the tomography-based approaches for microstructure characterization and has a deep impact on all subsequent stages of image processing,such as segmentation and 3D analysis.The enhancement of image perception,however,frequently involves observer-dependence,which reflects user-to-user dispersion and uncertainties in the calculated parameters.This work presents an objective quantitative method,which uses convolutional neural networks (CNN) for the quality assessment of the X-ray tomographic images.With only dozens of annotations,our method allows to evaluate directly and precisely the quality of tomographic images.Different metrics were employed to evaluate the correlation between our predicted scores and subjective human annotations.The evaluation results demonstrate that our method can be a direct tool to guide the enhancement process in order to produce reliable segmentation results.The processing of the tomographic image can thus evolve into a robust observer-independent procedure and advance towards the development of an efficient self-supervised approach. | Kai Zhang Tuan-Tu Nguyen Zeliang Su Arnaud Demortière | 2022 | npj Computational Materials2022，，1： | 1 |
| 12 | Polysulfide anions Ⅱ: structure and vibrational spectra of the S4^2- and S3^2- anions, Influence of cations an bond length, valence, and torsion angle显示文摘 | Jaroudi O E Piequenard E Demortier A | 2000 | Inorg Chem2000，39，： | 1 |
| 13 | In situ optical and structural studies on photoluminesenee quenching in CdSe/CdS/Au heterostructures显示文摘 | Demorti re A Schaller R I) Li T el al | 2014 | Journal of the American Chemical Society2014，136，6： | 1 |
| 14 | Sulfur显示文摘 | LEVILLAIN E DEMORTIER A LELIEUR J P | 2006 | Encyclopedia of Electrochemistry2006，7，253： | 1 |
| 15 | The electrode tortuosity factor:why the conventional tortuosity factor is not well suited for quantifying transport in porous Li-ion battery electrodes and what to use instead显示文摘The tortuosity factor of porous battery electrodes is an important parameter used to correlate electrode microstructure with performance through numerical modeling.Therefore,having an appropriate method for the accurate determination of tortuosity factors is critical.This paper presents a numerical approach,based on simulations performed on numerically-generated microstructural images,which enables a comparison between two common experimental methods. | Tuan-Tu Nguyen Arnaud Demortière Benoit Fleutot Bruno Delobel Charles Delacourt Samuel J.Cooper | 2020 | npj Computational Materials2020，，1： | 0 |
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