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4th ISPRS Geospatial Week 2019

作者： Kalantar, B. Ueda, N. Al-Najjar, H.A.H. Moayedi, H. Halin, A.A. Mansor, S. RIKEN Center for Advanced Intelligence Project Goal-Oriented Technology Research Group Disaster Resilience Science Team Tokyo103-0027 Japan Faculty of Engineering and IT University of Technology Sydney NSW2007 Australia Department for Management of Science and Technology Development Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Civil Engineering Ton Duc Thang University Ho Chi Minh City Viet Nam Dept. of Multimedia Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang Selangor43400 Malaysia Dept. of Civil Engineering Faculty of Engineering Universiti Putra Malaysia Serdang Selangor43400 Malaysia

Multisource remote sensing image data provides synthesized information to support many applications including land cover mapping, urban planning, water resource management, and GIS modelling. Effectively utilizing such images however requires proper image registration, which in turn highly relies on accurate ground control points (GCP) selection. This study evaluates the performance of the interest point descriptor SURF (Speeded-Up Robust Features) for GCPs selection from UAV and LiDAR images. The main motivation for using SURF is due to it being invariant to scaling, blur and illumination, and partially invariant to rotation and view point changes. We also consider features generated by the Sobel and Canny edge detectors as complements to potentially increase the accuracy of feature matching between the UAV and LiDAR images. From our experiments, the red channel (Band-3) produces the most accurate and practical results in terms of registration, while adding the edge features seems to produce lacklustre results. © Authors 2019.

关键词： Unmanned aerial vehicles (UAV)

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AI Models Close to your Chest: Robust Federated Learning Strategies for Multi-site CT

arXiv

引用

arXiv 2023年

作者： Lee, Edward H. Kelly, Brendan Altinmakas, Emre Dogan, Hakan Mohammadzadeh, Maryam Colak, Errol Fu, Steve Choudhury, Olivia Ratan, Ujjwal Kitamura, Felipe Chaves, Hernan Zheng, Jimmy Said, Mourad Reis, Eduardo Lim, Jaekwang Yokoo, Patrícia Mitchell, Courtney Houshmand, Golnaz Ghassemi, Marzyeh Killeen, Ronan Qiu, Wendy Hayden, Joel Rafiee, Farnaz Klochko, Chad Bevins, Nicholas Sazgara, Faeze Wong, S. Simon Moseley, Michael Halabi, Safwan Yeom, Kristen W. School of Medicine Stanford University United States Insight Centre for Data Analytics University College Dublin Ireland Icahn School of Medicine at Mount Sinai United States Koç University School of Medicine Turkey Division of Neuroradiology Amiralam Hospital Tehran University of Medical Sciences Iran Unity Health Toronto St. Michael’s Hospital University of Toronto Canada Amazon Web Services United States Universidade Federal de São Paulo Brazil Fleni Argentina Radiology Department Centre International Carthage Médicale Monastir Tunisia Hospital Israelita Albert Einstein SP São Paulo Brazil Department of Radiology Kyungpook National University Hospital Korea Republic of Department of Radiology St. Joseph’s Hospital and Medical Center United States Rajaie Cardiovascular Medical and Research Center Iran University of Medical Sciences Iran Dept. of Electrical Engineering and Computer Science at MIT United States Department of Radiology Henry Ford Health System DetroitMI United States Department of Radiology Guilan University of Medical Sciences Iran Department of Electrical Engineering Stanford University United States Ann & Robert H. Lurie Children's Hospital of Chicago United States

While it is well known that population differences from genetics, sex, race, and environmental factors contribute to disease, AI studies in medicine have largely focused on locoregional patient cohorts with less diverse data sources. Such limitation stems from barriers to large-scale data share and ethical concerns over data privacy. Federated learning (FL) is one potential pathway for AI development that enables learning across hospitals without data share. In this study, we show the results of various FL strategies on one of the largest and most diverse COVID-19 chest CT datasets: 21 participating hospitals across five continents that comprise >10,000 patients with >1 million images. We also propose an FL strategy that leverages synthetically generated data to overcome class and size imbalances. We also describe the sources of data heterogeneity in the context of FL, and show how even among the correctly labeled populations, disparities can arise due to these biases. Copyright © 2023, The Authors. All rights reserved.

关键词： Hospitals

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Flux Variations of Cosmic Ray Air Showers Detected by LHAASO-KM2A During a Thunderstorm on 10 June 2021

arXiv

引用

arXiv 2022年

作者： Aharonian, F. An, Q. Axikegu Bai, L.X. Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Zhe Cao, Zhen Chang, J. Chang, J.F. Chen, E.S. Chen, Liang Chen, Liang Chen, Long Chen, M.J. Chen, M.L. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, X.J. Chen, Y. Cheng, H.L. Cheng, N. Cheng, Y.D. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Duan, K.K. Fan, J.H. Fan, Y.Z. Fan, Z.X. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, J.G. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, S.L. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S. Hu, S.C. Hu, X.J. Huang, D.H. Huang, W.H. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Li, B.B. Li, Cheng Li, Cong Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jian Li, Jie Li, K. Li, W.L. Li, X.R. Li, Xin Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.S. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Long, W.J. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Masood, A. Min, Z. Mitthumsiri, W. Nan, Y.C. Ou, Z.W. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Sáiz, A. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shi, J.Y. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Sun, X.N. Sun, Z.B. Tam, P.H.T. Tang, Z.B. Tian, W.W. Wang, B.D. Wang, C. Wang, H. Wang, H.G. Wang, J.C. Wang, J.S. Key Laboratory of Particle Astrophyics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China TIANFU Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China College of Physics Sichuan University Sichuan Chengdu610065 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Hebei Normal University Hebei Shijiazhuang050024 China Sun Yat-sen University Guangdong Zhuhai519000 China Sun Yat-sen University Guangdong Guangzhou510275 China School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Département de Physique Nucléaire et Corpusculaire Facultéde Sciences Universitéde Genève 24 Quai Ernest Ansermet Geneva1211 Switzerland Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 China Department of Engineering Physics Tsinghua University Beijing100084 China School

The Large High Altitude Air Shower Observatory (LHAASO) has three sub-arrays, KM2A, WCDA and WFCTA. The flux variations of cosmic ray air showers were studied by analyzing the KM2A data during the thunderstorm on 10 June 2021. The number of shower events that meet the trigger conditions increases significantly in atmospheric electric fields, with maximum fractional increase of 20%. The variations of trigger rates (increases or decreases) are found to be strongly dependent on the primary zenith angle. The flux of secondary particles increases significantly, following a similar trend with that of the shower events. To better understand the observed behavior, Monte Carlo simulations are performed with CORSIKA and G4KM2A (a code based on GEANT4). We find that the experimental data (in saturated negative fields) are in good agreement with simulations, assuming the presence of a uniform electric field of -700 V/cm with a thickness of 1500 m in the atmosphere above the observation level. Due to the acceleration/deceleration by the atmospheric electric field, the number of secondary particles with energy above the detector threshold is modified, resulting in the changes in shower detection rate. © 2022, CC BY-NC-SA.

关键词： Cosmic rays

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The Influence of Al2O3 Passivation of III-V on Ge Multijunction Solar Cells to the Spatial Distribution of Luminescent Coupling Effect

The Influence of Al2O3 Passivation of III-V on Ge Multijunct...

引用

IEEE Conference on Photovoltaic Specialists

作者： Bernice Mae F. Yu Jeco Abhinav Chikhalkar Maxime Giteau Ryo Tamaki Nazmul Ahsan Richard R. King Yoshitaka Okada Research Center for Advanced Science and Technology The University of Tokyo Japan School for Engineering of Matter Transport and Energy Arizona State University School of Electrical Computer and Energy Engineering Arizona State University Arizona USA

The nonuniformity of luminescent coupling (LC) effect in III-V based multijunction solar cells (MJSCs) is partly ascribed to recombination at perimeter defects. An attempt to solve this was done by sidewall passivation of InGaP/GaAs/Ge triple junction solar cells through atomic layer deposition of thin Al 2 O 3 . Results revealed that sidewall passivation of a complete MJSC can increase LC current collection in a limiting GaAs middle cell by 21.9% and enhance its uniformity by 7.2%; hence, demonstrating a non-invasive way to improve current matching among subcells.

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Imaging Topological Spin Structures Using Light-Polarization and Magnetic Microscopy

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Physical Review Applied 2021年第2期15卷 024040-024040页

作者： Till Lenz Georgios Chatzidrosos Zhiyuan Wang Lykourgos Bougas Yannick Dumeige Arne Wickenbrock Nico Kerber Jakub Zázvorka Fabian Kammerbauer Mathias Kläui Zeeshawn Kazi Kai-Mei C. Fu Kohei M. Itoh Hideyuki Watanabe Dmitry Budker Helmholtz Institut Mainz Johannes Gutenberg-Universität Mainz Mainz 55128 Germany Institut für Physik Johannes Gutenberg-Universität Mainz Mainz 55128 Germany Université de Rennes CNRS Institut FOTON UMR 6082 Lannion F-22305 France Institute of Physics Faculty of Mathematics and Physics Charles University Prague 121 16 Czech Republic Physics Department University of Washington Seattle Washington 98105 USA Electrical and Computer Engineering Department University of Washington Seattle Washington 98105 USA Helmholtz Institut Mainz Johannes Gutenberg University Mainz 55128 Germany Spintronics Research Center Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama 223-8522 Japan Device Technology Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba Central 2 1-1-1 Umezono Tsukuba Ibaraki 305-8568 Japan Department of Physics University of California Berkeley California 94720-300 USA

We present an imaging modality that enables detection of magnetic moments and their resulting stray magnetic fields. We use wide-field magnetic imaging that employs a diamond-based magnetometer and has combined magneto-optic detection (e.g., magneto-optic Kerr effect) capabilities. We employ such an instrument to image magnetic (stripe) domains in multilayered ferromagnetic structures.

关键词： Imaging & optical processing Magnetic domains Magnetic texture Spintronics Ferromagnets Magnetic multilayers Nitrogen vacancy centers in diamond Magneto-optical Kerr effect

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AN INFEASIBLE-START FRAMEWORK FOR CONVEX QUADRATIC OPTIMIZATION, WITH APPLICATION TO CONSTRAINT-REDUCED INTERIOR-POINT METHODS ∗

arXiv

引用

arXiv 2019年

作者： Paul Laiu, M. Tits, André L. Computational and Applied Mathematics Group Computer Science and Mathematics Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College ParkMD20742 United States

A framework is proposed for solving general convex quadratic programs (CQPs) from an infeasible starting point by invoking an existing feasible-start algorithm tailored for inequalityconstrained CQPs. The central tool is an exact penalty function scheme equipped with a penalty-parameter updating rule. The feasible-start algorithm merely has to satisfy certain general requirements, and so is the updating rule. Under mild assumptions, the framework is proved to converge on CQPs with both inequality and equality constraints and, at a negligible additional cost per iteration, produces an infeasibility certificate, together with a feasible point for an (approximately) `1-least relaxed feasible problem when the given problem does not have a feasible solution. The framework is applied to a feasible-start constraint-reduced interior-point algorithm previously proved to be highly performant on problems with many more constraints than variables ("imbalanced"). Numerical comparison with popular codes (SDPT3, SeDuMi, MOSEK) is reported on both randomly generated problems and support-vector machine classifier training problems. The results show that the former typically outperforms the latter on imbalanced problems. Copyright © 2019, The Authors. All rights reserved.

关键词： Support vector machines

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Master stability functions for complete, intralayer, and interlayer synchronization in multiplex networks of coupled Rössler oscillators

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Physical Review E 2019年第1期99卷 012304-012304页

作者： Longkun Tang Xiaoqun Wu Jinhu Lü Jun-an Lu Raissa M. D'Souza Fujian Province University Key Laboratory of Computation Science School of Mathematical Science Huaqiao University Quanzhou 362021 China School of Mathematics and Statistics Wuhan University Wuhan 430072 China Department of Computer Science University of California Davis California 95616 USA School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment and Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China

Synchronization phenomena are of broad interest across disciplines and increasingly of interest in a multiplex network setting. For the multiplex network of coupled Rössler oscillators, here we show how the master stability function, a celebrated framework for analyzing synchronization on a single network, can be extended to certain classes of multiplex networks with different intralayer and interlayer coupling functions. We derive three master stability equations that determine, respectively, the necessary regions of complete synchronization, intralayer synchronization, and interlayer synchronization. We calculate these three regions explicitly for the case of a two-layer network of Rössler oscillators and show that the overlap of the regions determines the type of synchronization achieved. In particular, if the interlayer or intralayer coupling function is such that the interlayer or intralayer synchronization region is empty, complete synchronization cannot be achieved regardless of the coupling strength. Furthermore, for any network structure, the occurrence of intralayer and interlayer synchronization depends mainly on the coupling functions of nodes within a layer and across layers, respectively. Our mathematical analysis requires that the intralayer and interlayer supra-Laplacians commute. But, we show this is only a sufficient, and not necessary, condition and that the results can be applied more generally.

关键词： Collective dynamics Synchronization Synchronization transition

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POS0412 DIGITAL ARTERY VOLUME INDEX (DAVIX), FIRST QUANTITATIVE CONTRAST FREE MRI BASED SURROGATE OUTCOME MEASURE OF DIGITAL ULCER DISEASE ACTIVITY IN SYSTEMIC SCLEROSIS

引用

Annals of the Rheumatic Diseases 2024年 83卷 340-340页

作者： S. DI Donato M. Hughes K. Gjeloshi G. Lettieri F. Danzo G. Abignano D. Bertham E. De Lorenzis J. Dehmeshki O. Kubassova P. O ’connor F. Del Galdo University of Leeds Leeds Institute of Rheumatic and Musculoskeletal Medicine Leeds United Kingdom Leeds Teaching Hospitals NHS Trust NIHR Leeds Biomedical Research Centre Leeds United Kingdom The University of Manchester Division of Musculoskeletal and Dermatological Sciences Manchester Academic Health Science Centre Manchester United Kingdom Northern Care Alliance NHS Foundation Trust Salford Care Organisation Rheumatology Salford United Kingdom University of Campania “Luigi Vanvitelli” Department of Advanced Medical and Surgical Sciences Naples Italy Azienda Ospedaliera Regionale San Carlo Istituto Reumatologico Lucano Potenza Italy Ospedale L Sacco ASST Fatebenefratelli-Sacco Division of Respiratory Diseases Milan Italy University of Milan Department of Biomedical and Clinical Sciences Milan Italy University of Leeds Leeds Leeds Institute of Rheumatic and Musculoskeletal Medicine Leeds United Kingdom Catholic University of the Sacred Heart Fondazione Policlinico Universitario Agostino Gemelli IRCCS Division of Rheumatology Rome Italy Kingston University Faculty of Engineering Computing and the Environment Department of Computer Science and Mathematics London United Kingdom Image Analysis Group London United Kingdom

Background: Vascular involvement in Systemic Sclerosis (SSc) is known to start even before clinical diagnosis, to drive Digital Ulcer (DU) disease and, later in the disease natural history, to cause Pulmonary Artery Hypertension (PAH), among other manifestations. Reliable outcome measures of vascular disease activity are a deep unmet need in SSc. Objectives: To assess the ability of a contrast-free Magnetic Resonance Imaging index to predict DU disease in patients with SSc and explore its validity as outcome measure for Scleroderma vascular complications. Methods: 227 patients attending our Scleroderma Program were consecutively enrolled. Clinical features including presence or history of DUs, presence of PAH, FVC, DLCO, and mRSS were recorded. Digital Artery Vascular Index (DAVIX) of the dominant hand’s fingers was calculated using time of flight magnetic resonance images analysed through IAG proprietary algorithm, as previously described. Patients were followed up longitudinally for 12 months and assessed for the presence of new DUs as primary outcome. Medians were compared by Mann-Whitney-Wilcoxon test, correlation with clinical parameters was performed using Spearman’s or Pearson test, as appropriate (R). Results: 145/227 patients (63.9%) fulfilled the 2013 ACR/EULAR classification criteria for SSc (47/227 diffuse cutaneous [20.7%] and 99/227 limited cutaneous [43.6%]) whereas 82/227 (36.1%) were classified as Very Early Diagnosis of Systemic Sclerosis (Criteria score between 6 and 8). 53/227 (23.3%) patients had DU disease (History of DUs in the previous 48 weeks or presence of DUs at baseline assessment), this group showed a significantly lower DAVIX compared to patients without DU disease (0.47 vs 0.84, p<0.0001). 28/227 (12.3%) patients developed new DUs during the 12-month follow up, this group had a significantly lower DAVIX compared to patients who did not develop new DUs (0.39% vs 0.80%, p<0.0001). Receiver Operating Curve for DAVIX plotted against new D

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Comprehensive behavioral analysis of tryptophan 2,3-dioxygenase (Tdo2) knockout mice:

引用

Neuropsychopharmacology Reports 2018年第2期38卷 52-60页

作者： Hattori, Satoko Takao, Keizo Funakoshi, Hiroshi Miyakawa, Tsuyoshi Division of Systems Medical Science Institute for Comprehensive Medical Science Fujita Health University Toyoake Aichi Japan Division of Animal Resources and Development Life Science Research Center University of Toyama Toyama Japan Genetic Engineering and Functional Genomics Group Frontier Technology Center Graduate School of Medicine Kyoto University Kyoto Japan Center for Advanced Research and Education Asahikawa Medical University Asahikawa Japan

Aims: Tryptophan 2,3-dioxygenase (TDO2) is an initial rate-limiting enzyme of the kynurenine (Kyn) pathway in tryptophan (Trp) metabolism. The Trp-degrading enzymes, TDO2 and indoleamine 2,3-dioxygenase, are activated by stress and/or inflammation. Dysregulation of Trp metabolism, which causes shifts in the balance between Kyn and serotonin (5-HT) pathways, is associated with psychiatric and neurological disorders. In genetic studies, single-nucleotide polymorphisms in the TDO2 gene were shown to be involved in psychiatric disorders, such as schizophrenia and depression. It has been reported that targeted deletion of the Tdo2 gene in mice resulted in reduced anxiety-like behavior, enhanced exploratory activity and cognitive performance, and increased levels of Trp and 5-HT in the hippocampus and midbrain. However, the effect of Tdo2 gene deletion on behavioral phenotypes has not yet been investigated extensively. Materials & Methods: We conducted tests to further examine the behavioral effects of knockout (KO) of Tdo2 in mice. Results: Deletion of Tdo2 resulted in seemingly lower anxiety-like behavior, higher locomotor activity, and abnormal gait pattern in mice, though none of them reached study-wide statistical significance. Tdo2 deficiency had no significant effects on other behaviors, such as prepulse inhibition, and depression-like and social behaviors. Discussion and Conclusion: He lack of clear phenotypes in Tdo2KO mice in this study might be due to the absence of stress and inflammatory conditions, which could induce expression of Tdo2 mRNA. Further studies are necessary to elucidate the roles of Tdo2 in behavioral phenotypes related to psychiatric disorders. It has been reported that TDO2 gene is involved in psychiatric disorders, such as schizophrenia and depression. However, the effect of Tdo2 gene deletion on behavioral phenotypes has not yet been investigated extensively. Here, we conducted tests to further examine the behavioral effects of knockout (KO

关键词： comprehensive behavioral test battery knockout mice kynurenine pathway tryptophan 2,3-dioxygenase tryptophan metabolism

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Correction: Local structure and lithium-ion diffusion pathway of cubic Li7La3Zr2O12 studied by total scattering and the Reverse Monte Carlo method

引用

Journal of Materials Chemistry A 2024年第3期12卷 1862-1862页

作者： Haolai Tian Guanqun Cai Lei Tan He Lin Anthony E. Phillips Isaac Abrahams David A. Keen Dean S. Keeble Andy Fiedler Junrong Zhang Xiang Yang Kong Martin T. Dove Computing Center Institute of High Energy Physics Beijing 100049 China University of Chinese Academy of Sciences Beijing 100049 China College of Chemistry and Molecular Engineering Peking University Beijing 100871 China School of Physics School of Sciences Wuhan University of Technology Wuhan Hubei 430070 China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201204 China School of Physical and Chemical Sciences Queen Mary University of London Mile End Road London UK ISIS Neutron and Muon Facility Rutherford Appleton Laboratory Harwell Campus Didcot Oxfordshire UK Diamond Light Source Ltd Harwell Science and Innovation Campus Didcot UK School of Materials Sciences and Engineering Shanghai Jiao Tong University Huashan Road 1954 Shanghai 200030 China Spallation Neutron Source Science Center Dongguan 523803 Guangdong China Institute of Atomic and Molecular Physics College of Computer Science Sichuan University Chengdu Suchuan 610065 China School of Mechanical Engineering Dongguan University of Technology Dongguan Guangdong 523000 China

Correction for ‘Local structure and lithium-ion diffusion pathway of cubic Li7La3Zr2O12 studied by total scattering and the Reverse Monte Carlo method’ by Haolai Tian et al., J. Mater. Chem. A, 2023, 11, 25516–2553...

Correction for ‘Local structure and lithium-ion diffusion pathway of cubic Li₇La₃Zr₂O₁₂ studied by total scattering and the Reverse Monte Carlo method’ by Haolai Tian et al., J. Mater. Chem. A, 2023, 11, 25516–25533, https://***/10.1039/D3TA04495E.

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