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20th International Conference on the Economics of Grids, Clouds, Systems, and Services, GECON 2024

作者： Amin, Maryam Noor, Umara Fatima, Manahil Rashid, Zahid Altmann, Jörn Department of Software Engineering Faculty of Computing and Information Technology International Islamic University Islamabad44000 Pakistan Technology Management Economics and Policy Program College of Engineering Seoul National University Seoul Korea Republic of College of Engineering Seoul National University Seoul Korea Republic of Integrated Major in Smart City Global Convergence Seoul National University Seoul Korea Republic of

ISBN: (纸本)9783031812255

Despite technological advancements, ensuring aircraft safety remains a challenge, however, Machine learning (ML)-based approaches for predicting future incidents play a crucial role in addressing flight safety. As ML models increase in complexity, their decision-making process becomes less transparent, posing significant challenges to trustworthiness. While simpler models demonstrate lower accuracy, more intricate models such as deep neural networks achieve higher accuracy but sacrifice interpretability. In this study, we enhance trustworthiness in aircraft safety prediction by leveraging a dataset of past accidents and incidents to prevent similar accidents from occurring in the future. To achieve this, we apply Random Forest and Extreme Gradient Boosting models to classify different categories of aircraft incidents. Additionally, we apply two powerful explainable artificial intelligence (XAI) techniques: Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive exPlanations (SHAP) to provide insights into both local and global predictions made by the models. Notably, our results reveal high accuracy in these predictions while maintaining trustworthiness. This research contributes to the advancement of XAI and offers valuable insights for safety-critical applications and decision support systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Aircraft accidents

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Recent advances in wearable electrochemical biosensors towards technological and material aspects

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Biosensors and Bioelectronics: X 2024年 19卷

作者： Hosseinzadeh Fakhr, Mahan Lopez Carrasco, Ivan Belyaev, Dmitry Kang, Jihun Shin, YeHyeon Yeo, Jong-Souk Koh, Won-Gun Ham, Jeongwoo Michaelis, Alexander Opitz, Joerg Beshchasna, Natalia Fraunhofer Institute for Ceramic Technologies and Systems IKTS Maria-Reiche-Straße 2 Dresden01109 Germany Faculty of Mechanical Science and Engineering Dresden University of Technology Dresden Germany School of Integrated Technology College of Computing Yonsei University Seoul Korea Republic of BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University Seoul Korea Republic of Department of Chemical and Biomolecular Engineering Yonsei University Seoul Korea Republic of

The next generation of wearable biosensors comes with the latest advancements in biosensor technology. Soft and stretchable electrode materials like hydrogels with the similar functionalities of human tissue including stretchability, self-healability, and responsiveness to different stimuli have emerged as the most versatile materials in wearable electronics. The incorporation of conductive nanofillers is found to enhance the sensitivity of the electrochemical biosensors significantly. Microfluidic technology has reduced the volume of samples and reagents required for the analysis, allowing continuous biomedical monitoring from a drop of biofluid. In this paper, the most advanced progress in electrochemical wearable platforms that can noninvasively and continuously monitor the biochemical markers in body fluids for the diagnosis and health management is reviewed. Innovation in microelectronics, modification, fabrication technologies, and detection methods are the main focus of the discussion. In particular, hydrogel-based sensors and microfluidic systems as the latest technology trends in wearable detection are discussed in detail. Integration of miniaturized electrochemical wearable biosensors with wireless technology as a great promise for real-time healthcare monitoring and point-of-care (POC) diagnostics is also summarized. Finally, we outline the most advanced wearable biosensors with optimized material and design as well as key challenges that need to be addressed to improve sensing performance (accuracy, sensitivity, selectivity, stability), portability (miniaturized size and light weight), and flexibility of the wearable biosensors. © 2024 The Authors

关键词： Body fluids

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Effects of Spatial Uniformity of Continuous and Pulse Laser Irradiation on the Microstructure and Mechanical Properties of Ti-6Al-4V in Powder Bed Fusion

SSRN

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SSRN 2025年

作者： Moon, Seunghwan Ji, Seungmuk Ko, Yoonseok Lee, Min-Su Jun, Tea-Sung Kim, Dong-Ik Yeo, Jong-Souk School of Integrated Technology College of Computing Yonsei University Seoul03722 Korea Republic of BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University Seoul03722 Korea Republic of Seoul02792 Korea Republic of Department of Mechanical Engineering Incheon National University Incheon22012 Korea Republic of Hankook Precision Works 45 Munpyeongseo-ro Daedeok-gu Daejeon34303 Korea Republic of

Laser beam powder bed fusion (PBF-LB/M) with Ti-6Al-4V (Ti64) powder is a promising method for fabricating medical implants owing to its ability to fabricate precise structures and the biocompatibility of the fabricated material. The use of a pulsed laser source in a PBF-LB/M system has been proposed for stable irradiation with an appropriate amount of energy. In this study, the pulse width modulation (PWM) method was adapted into a PBF-LB/M machine with a laser that operates in both continuous wave (CW) and pulsed wave modes. The effects of CW and PWM lasers on the microstructure and mechanical properties of the fabricated material based on the volumetric energy density (VED) calculated using the average power were compared. Results revealed that the uniform distribution of energy irradiation across the entire region ensured the similarity in the porosities and Vickers hardness tendencies conferred by CW and PWM lasers in the specimens according to the VED. In contrast, the spatially nonuniform distribution of the laser irradiation resulted in a significantly higher porosity in the specimen fabricated using the PWM laser than that produced using the CW laser at the same VED, resulting in reduced compressive yield strength. Additionally, the electron backscattered diffraction analysis of the grain structures in the fabricated specimens revealed that there were no significant differences in the average grain size, phase distribution, and misorientation angle of the samples produced using CW and PWM lasers at the same VED. However, sharper grains with a grain shape aspect ratio of less than 0.3 were 7% higher in specimens produced using the PWM laser. This study highlights the possibility of fabricating medical implants with desired patient bone-specific microstructure and mechanical properties. © 2025, The Authors. All rights reserved.

关键词： Vickers hardness

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Lessons learned from the hospital to home community care program in Singapore and the supporting AI multiple readmissions prediction model

Health Care Science

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Health Care Science 2023年第3期2卷 153-163页

作者： John Abisheganaden Kheng Hock Lee Lian Leng Low Eugene Shum Han Leong Goh Christine Gia Lee Ang Andy Wee An Ta Steven M.Miller Department of Respiratory and Critical Care Medicine Tan Tock Seng HospitalNational Healthcare GroupSingaporeSingapore National Working Group for the Hospital to Home Program SingaporeSingapore Department of Family Medicine and Continuing Care Singapore General HospitalSingHealth GroupSingaporeSingapore SingHealth Community Hospitals SingHealth GroupSingaporeSingapore Population Health and Integrated Care Office SingHealth GroupSingaporeSingapore Office of Community Development Changi General HospitalSingHealth GroupSingaporeSingapore Data Analytics and AI Department Integrated Health Information SystemsSingaporeSingapore School of Computing and Information Systems Singapore Management UniversitySingaporeSingapore

In a prior practice and policy article published in Healthcare Science,we introduced the deployed application of an artificial intelligence(AI)model to predict longer‐term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home(H2H)program that has been operating since *** this follow on practice and policy article,we further elaborate on Singapore's H2H program and care model,and its supporting AI model for multiple readmission prediction,in the following ways:(1)by providing updates on the AI and supporting information systems,(2)by reporting on customer engagement and related service delivery outcomes including staff‐related time savings and patient benefits in terms of bed days saved,(3)by sharing lessons learned with respect to(i)analytics challenges encountered due to the high degree of heterogeneity and resulting variability of the data set associated with the population of program participants,(ii)balancing competing needs for simpler and stable predictive models versus continuing to further enhance models and add yet more predictive variables,and(iii)the complications of continuing to make model changes when the AI part of the system is highly interlinked with supporting clinical information systems,(4)by highlighting how this H2H effort supported broader Covid‐19 response efforts across Singapore's public healthcare system,and finally(5)by commenting on how the experiences and related capabilities acquired from running this H2H program and related community care model and supporting AI prediction model are expected to contribute to the next wave of Singapore's public healthcare efforts from 2023 *** the convenience of the reader,some content that introduces the H2H program and the multiple readmissions AI prediction model that previously appeared in the prior Healthcare Science publication is repeated at the beginning of this article.

关键词： hospital to home community care hospital to home lessons learned transitional care integrated care multiple readmissions AI prediction model machine learning in healthcare healthcare technology

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Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction

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Journal of Open Innovation: Technology, Market, and Complexity 2025年第1期11卷

作者： Wahyuddin, Eko Putra Caraka, Rezzy Eko Kurniawan, Robert Caesarendra, Wahyu Gio, Prana Ugiana Pardamean, Bens Department of Statistical Computing Politeknik Statistika STIS Jakarta 13330 Indonesia Statistics Indonesia (BPS) Jl. Dr Sutomo 6-8 Jakarta Indonesia School of Economics and Business Telkom University Bandung 40257 Indonesia Research Center for Data and Information Sciences Research Organization for Electronics and Informatics National Research and Innovation Agency (BRIN) Bandung 40135 Indonesia Faculty of Integrated Technologies Universiti Brunei Darussalam Gadong BE1410 Brunei Darussalam Department of Mathematics Universitas Sumatera Utara Medan 20155 Indonesia Bioinformatics and Data Science Research Centre Bina Nusantara University DKI Jakarta 11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University DKI Jakarta 11480 Indonesia

This study aims to address the common issue of biased estimation errors in time series modeling by analyzing the error in locating ideal hyperparameters and defining appropriate validation methods. Specifically, it focuses on predicting the stock price of Bank Rakyat Indonesia using a combination of historical stock prices, technical indicators, exchange rates, and news sentiment data, while determining the optimal variables for deep learning models. Employing a deep learning-based Long-Short Term Memory (LSTM) model, the study optimizes hyperparameters alongside walk-forward validation for time series prediction. It explores different combinations of variables and adapts the sliding window approach to the context of the data. The results highlight the importance of optimizing hyperparameters and utilizing walk-forward validation for accurate time series prediction. The model incorporating historical stock prices and sentiment scores outperforms others, achieving an RMSE of 96.61 and MAE of 86.97. Incorporating sentiment scores reduces RMSE by 39.55 % compared to models using only historical stock prices, while adding technical indicators does not yield improvement. This study contributes to the field by addressing the issue of biased estimation errors in time series modeling, offering insights into the optimization of hyperparameters and validation methods for accurate predictions. It also underscores the significance of incorporating sentiment analysis alongside historical stock prices for improved forecasting accuracy. © 2024 The Authors

关键词： LSTM Sentiment analysis Stock price prediction Time series modeling Validation methods

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Effects of spatial uniformity of continuous and pulse laser irradiation on the microstructure and mechanical properties of Ti-6Al-4V in powder bed fusion

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Materials Today Communications 2025年 46卷

作者： Seunghwan Moon Seungmuk Ji Yoonseok Ko Min-Su Lee Tea-Sung Jun Dong-Ik Kim Jong-Souk Yeo School of Integrated Technology College of Computing Yonsei University Seoul 03722 Republic of Korea BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University Seoul 03722 Republic of Korea Center for Energy Materials Research Korea Institute of Science and Technology Seoul 02792 Republic of Korea Department of Mechanical Engineering Incheon National University Incheon 22012 Republic of Korea

Powder bed fusion of metals with laser beam (PBF-LB/M) using Ti-6Al-4V (Ti64) has enabled delicate fabrication of biocompatible medical implants. This research focuses on how the spatial uniformity of laser irradiation affects material under continuous wave (CW) and pulse width modulated (PWM) laser conditions, using a self-developed PBF-LB/M system. The volumetric energy density (VED) was used as a reference parameter in order to accurately compare the effects of CW and PWM lasers, but limitations of VED, which does not include spatial and kinetic factors, which are reinforced in the PWM laser process, were also considered. Results revealed that the uniform distribution of energy irradiation across the entire region brought similar porosities and Vickers hardness tendencies for CW and PWM laser processes. In contrast, the spatially nonuniform energy transfer resulted in a significantly higher porosity in the specimen fabricated using the PWM laser than that produced using the CW laser at the same VED, reducing compressive yield strength. The electron backscattered diffraction analysis showed no significant differences in the average grain size, phase distribution, and misorientation angle of the samples produced using CW and PWM lasers under the same VED. However, sharper grains with an aspect ratio of less than 0.3 were 7 % higher in specimens produced using the PWM laser. This study highlights the possibility of controlling the microstructure and mechanical properties in a wider range when using the PWM laser with spatially nonuniform irradiation.

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Automating Care by Self-maintainability for Full Laboratory Automation

arXiv

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arXiv 2025年

作者： Ochiai, Koji Tahara-Arai, Yuya Kato, Akari Kaizu, Kazunari Kariyazaki, Hirokazu Umeno, Makoto Takahashi, Koichi Kanda, Genki N. Ozaki, Haruka Laboratory for Biologically Inspired Computing RIKEN Center for Biosystems Dynamics Research 6-7-1 Minatojima Minamimachi Chuo-ku Hyogo Kobe650-0047 Japan Bioinformatics Laboratory Institute of Medicine University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan Ph.D. Program in Humanics School of Integrative and Global Majors University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan Laboratory Automation Suppliers’ Association 2-1-8 Minatojima Minamimachi Chuo-ku Hyogo Kobe650-0047 Japan Cell Modeling and Simulation Group Exploratory Research Center on Life and Living Systems National Institutes of Natural Sciences 5-1 Higashiyama Myodaiji Aichi Okazaki444-8787 Japan Robotics Division YASKAWA Electric Corporation 2-1 Kurosaki Shiroishi Yahatanishi-ku Kitakyushu Fukuoka806-0004 Japan BAIKEIDO LLC 3-8-1 Asano Kokurakita-ku Kitakyushu Fukuoka802-0001 Japan Graduate School of Media and Governance Keio University 5322 Endo Fujisawa-shi Kanagawa252-0882 Japan Medical Research Laboratory Institute of Integrated Research Institute of Science Tokyo 1-5-45 Yushima Bunkyo-ku Tokyo113-8519 Japan Center for Artificial Intelligence Research University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8577 Japan

The automation of experiments in life sciences and chemistry has significantly advanced with the development of various instruments and AI technologies. However, achieving full laboratory automation, where experiments conceived by scientists are seamlessly executed in automated laboratories, remains a challenge. We identify the lack of automation in planning and operational tasks—critical human-managed processes collectively termed "care"—as a major barrier. Automating care is the key enabler for full laboratory automation. To address this, we propose the concept of self-maintainability (SeM): the ability of a laboratory system to autonomously adapt to internal and external disturbances, maintaining operational readiness akin to living cells. A SeM-enabled laboratory features autonomous recognition of its state, dynamic resource and information management, and adaptive responses to unexpected conditions. This shifts the planning and execution of experimental workflows, including scheduling and reagent allocation, from humans to the system. We present a conceptual framework for implementing SeM-enabled laboratories, comprising three modules—Requirement manager, Labware manager, and Device manager—and a Central manager. SeM not only enables scientists to execute envisioned experiments seamlessly but also provides developers with a design concept that drives the technological innovations needed for full automation. Copyright © 2025, The Authors. All rights reserved.

关键词： Information management

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Longitudinal Pulmonary Arterial Pressure Trajectories Inform Clinical Outcome in Kidney Transplantation Patients

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Chest 2025年

作者： Katarina Zeder Suman Kundu Edward D Siew Jeffrey S Annis Laurel Y Lee Jonah Garry Kelly A Birdwell Matthew S Freiberg Gabor Kovacs Evan L Brittain Bradley A Maron Division of Cardiovascular Medicine University of Maryland School of Medicine Baltimore MD and the University of Maryland-Institute for Health Computing Bethesda MD USA Division of Cardiovascular Medicine Brigham and Women's Hospital and Harvard Medical School Boston MA USA Division of Pulmonology Medical University of Graz Austria. Department of Medicine Division of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA and Vanderbilt Pulmonary Circulation Center and Vanderbilt Institute for Clinical and Translational Medicine Vanderbilt University Medical Center Nashville TN USA. Division of Nephrology and Hypertension Vanderbilt Center for Kidney Disease and Integrated Program for Acute Kidney Injury Nashville TN USA. Division of Cardiology Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA. Division of Cardiovascular Medicine University of Maryland School of Medicine Baltimore MD and the University of Maryland-Institute for Health Computing Bethesda MD USA. Electronic address: BMaron@som.umaryland.edu.

BACKGROUND:Pulmonary hypertension (PH) is a high-risk finding in end-stage kidney disease (ESKD) and independently associated with increased mortality. RESEARCH QUESTION:What is the relationship between pulmonary artery pressure (PAP) trajectories from pre- to post-kidney transplantation (KT), as well as the role of PH post-KT? STUDY DESIGN AND METHODS:We analyzed retrospectively patients in the Veterans Affairs Healthcare System with PAP values both pre- and post-KT using echocardiography. The primary exposure was all-cause mortality, stratified by PH status (systolic PAP>35mmHg) into four groups: No-PH, New-PH, Resolved-PH and Persistent-PH. Findings were validated in the sex-balanced Vanderbilt University Medical System using echocardiography and right heart catheterization. RESULTS:From N=631 patients (60±6 years; 96% male) in the primary cohort, N=364 (58%) there were N=231 (36.6%), N=184 (29.2%), N=133 (21.1%), and N=83 (13.1%) patients in the Persistent PH, Never PH, Resolved PH, and New PH groups, respectively. New-PH and Persistent-PH, were associated with a 51% (HR=1.51 [95%CI:1.06-2.15], p=0.023) and 37% (HR=1.37 [95%CI:1.03-1.82],p=0.029) increase in age- and sex-adjusted mortality risk compared to No-PH. Of all groups, Resolved PH was associated with the most favorable survival rate (adjusted HR=0.73 [95%CI:0.51-1.05], p=0.087; compared to No-PH). Longitudinal mortality risk increased continuously with ≥1 mmHg PAP increase from pre-KT to post-KT. Overall, we observed 21% increase in mortality risk per 10mmHg increment increase in echocardiographic sPAP from pre-KT to post-KT, adjusted for age, sex and baseline sPAP (HR=1.21 [95%CI:1.11-1.31],p<0.001), whereas a 10mmHg sPAP decrease was associated a 17% decrease in adjusted mortality risk (HR=0.83 [95%CI: 0.76-0.90], p<0.001). Results were reproducible in the validation cohort. INTERPRETATION:In ESKD patients referred for KT as well as hemodynamic assessment, outcome is strongly associated with PAP traje

关键词： kidney failure kidney transplantation outcome pulmonary arterial pressure pulmonary hypertension

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Cerebrospinal fluid proteomics reveals the innate immunity and blood-brain barrier dysregulation in a patient with multidrug-resistant Acinetobacter baumannii ventriculitis treated with intrathecal and intravenous polymyxin B

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Heliyon 2024年第24期10卷 e40893页

作者： Li, Mengyao Liu, Dongyu Bergen, Phillip J. Liang, Silin Chen, Juan Kho, Zhi Ying Lu, Jing Sun, Huiying Hong, Weiqing Liu, Xiaofen Hong, Chengying Chen, Youlian Li, Wei You, Hongxia Xu, Shunyao Wang, Yu Gao, Huaiji Lam, Chun Hin Li, Jian Chen, Xiaoyin Liu, Xueyan Department of Critical Care Medicine The Second Clinical Medical College Jinan University (Shenzhen People's Hospital) Shenzhen 518020 China Integrated Chinese and Western Medicine Postdoctoral Research Station Jinan University Guangzhou 510632 China Biomedicine Discovery Institute Infection Program and Department of Microbiology Monash University Melbourne 3800 VIC Australia Department of Pharmacy The Second Clinical Medical College Jinan University (Shenzhen People's Hospital) Shenzhen 518020 China Institute of Infectious Diseases The Second Hospital of Tianjin Medical University 23 Pingjiang Road Tianjin 300211 China Institute of Antibiotics Huashan Hospital Fudan University / Key Laboratory of Clinical Pharmacology of Antibiotics National Health Commission of the People's Republic of China Shanghai 200040 China National Clinical Research Centre for Aging and Medicine Huashan Hospital affiliated to Fudan University Shanghai 200040 China Department of Stomatology The Second Clinical Medical College Jinan University (Shenzhen People's Hospital) Shenzhen 518020 China Mathematics and Statistics School of Computing Engineering and Mathematical Sciences La Trobe University Melbourne 3085 VIC Australia Faculty of Medicine Macau University of Science and Technology Taipa Macau 999078 China College of Traditional Chinese Medicine Jinan University Guangzhou 510632 China

Acinetobacter baumannii is a major pathogen of nosocomial meningitis and ventriculitis. Due to very limited antibiotic treatment options, polymyxins are often used as a last-line therapy. To optimise polymyxin use in the intraventricular environment, cerebrospinal fluid (CSF) proteomics was employed to investigate host-pathogen-polymyxin interactions in a 69-year-old patient with multidrug-resistant A. baumannii ventriculitis treated with a combination of intrathecal (ITH;50,000 IU q24h/q48h), intraventricular (IVT;50,000 IU q48h), and intravenous (500,000 IU, q12h) polymyxin B. CSF was collected before the first ITH dose in the ICU (0 h) and at 24 h, Day 7 and Day 26. The proteome was quantified at each time point and proteins with Qvalue <0.05 and fold change >1.2 were considered differentially expressed. Within 24 h of ITH/IVT polymyxin B administration, the innate immune system and neuroimmunity were highly active, evidenced by up-regulation of various pathways related to pathogen invasion, endocytosis and neutrophil degranulation. Blood-brain barrier impairment had worsened at 24 h but signs of repair were evident on Day 7 and Day 26. This is the first CSF proteomic study with polymyxins. Our findings provide critical mechanistic insights into optimizing ITH/IVT polymyxin administration. © 2024 The Authors

关键词： Acinetobacter baumannii Cerebrospinal fluid Intrathecal and intravenous administration Polymyxin B Proteomics Ventriculitis

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Nonreciprocal transport in a bilayer of MnBi2Te4 and Pt

arXiv

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arXiv 2022年

作者： Ye, Chen Xie, Xiangnan Lv, Wenxing Huang, Ke Yang, Allen Jian Jiang, Sicong Liu, Xue Zhu, Dapeng Qiu, Xuepeng Tong, Mingyu Zhou, Tong Hsu, Chuang-Han Chang, Guoqing Lin, Hsin Li, Peisen Yang, Kesong Wang, Zhenyu Jiang, Tian Wang, Xiao Renshaw Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China Physics Laboratory Industrial Training Center Shenzhen Polytechnic Guangdong Shenzhen518055 China Department of NanoEngineering Program of Chemical Engineering University of California La Jolla San DiegoCA92093-0448 United States Program of Materials Science and Engineering University of California La Jolla San DiegoCA92093-0418 United States Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and Engineering Beihang University Beijing100191 China Beihang-Goertek Joint Microelectronics Institute Qingdao Research Institute Beihang University Qingdao266000 China Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology School of Physics Science and Engineering Tongji University Shanghai200092 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China Insitute of Physics Academia Sinica Taipei115229 Taiwan College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China National Innovation Institute of Defense Technology Academy of Military Sciences PLA China Beijing100010 China Beijing Academy of Quantum Information Sciences Beijing100084 China Beijing Institute for Advanced Study National University of Defense Technology Changsha410073 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Ave 639798 Singapore

MnBi2Te4 (MBT) is the first intrinsic magnetic topological insulator with the interaction of spin-momentum locked surface electrons and intrinsic magnetism, and it exhibits novel magnetic and topological phenomena. Recent studies suggested that the interaction of electrons and magnetism can be affected by the Mn-doped Bi2Te3 phase at the surface due to inevitable structural defects. Here we report an observation of nonreciprocal transport, i.e. current-direction-dependent resistance, in a bilayer composed of antiferromagnetic MBT and nonmagnetic Pt. The emergence of the nonreciprocal response below the Néel temperature confirms a correlation between nonreciprocity and intrinsic magnetism in the surface state of MBT. The angular dependence of the nonreciprocal transport indicates that nonreciprocal response originates from the asymmetry scattering of electrons at the surface of MBT mediated by magnon. Our work provides an insight into nonreciprocity arising from the correlation between magnetism and Dirac surface electrons in intrinsic magnetic topological insulators. © 2022, CC BY.

关键词： Magnetism

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