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Magnetic and electronic properties of bulk and two-dimensional FeBi_(2)te_(4):A first-principles study

Chinese Physics B 2023年第8期32卷 450-456页

作者：王倩倩赵建洲吴维康周胤宁 Qile Li mark t.edmonds 杨声远 Research Laboratory for Quantum Materials Singapore University of Technology and DesignSingapore 487372Singapore Co-Innovation Center for New Energetic Materials Southwest University of Science and TechnologyMianyang 621010China Key Laboratory for Liquid--Solid Structural Evolution and Processing of Materials(Ministry of Education) Shandong UniversityJinan 250061China Joint Key Laboratory of the Ministry of Education Institute of Applied Physics Materials EngineeringUniversity of MacaoMacao Special Administrative RegionChina School of Physics and Astronomy Monash UniversityClaytonVIC 3800Australia ARC Centre for Future Low Energy Electronics technologies Monash UniversityClaytonVIC 3800Australia

Layered magnetic materials,such as MnBi_(2)te_(4),have drawn much attention owing to their potential for realizing twodimensional(2D)magnetism and possible topological ***,FeBi_(2)te_(4),which is isostructural to MnBi_(2)te_(4),has been synthesized in experiments,but its detailed magnetic ordering and band topology have not been clearly understood ***,based on first-principles calculations,we investigate the magnetic and electronic properties of FeBi_(2)te_(4)in bulk and 2D *** show that different from MnBi_(2)te_(4),the magnetic ground states of bulk,single-layer,and bilayer FeBi_(2)te_(4)all favor a 120°noncollinear antiferromagnetic ordering,and they are topologically trivial narrow-gap *** the bilayer case,we find that a quantum anomalous Hall effect with a unit Chern number is realized in the ferromagnetic state,which may be achieved in experiment by an external magnetic field or by magnetic proximity *** work clarifies the physical properties of the new material system of FeBi_(2)te_(4)and reveals it as a potential platform for studying magnetic frustration down to 2D limit as well as quantum anomalous Hall effect.

关键词： FeBi_(2)te_(4) two-dimensional(2D)magnetism noncollinear antiferromagnet quantum anomalous Hall effect first-principles calculation

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Daily heart rate variability of Paralympic gold medallist swimmers： A 17-week investigation

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Journal of Sport and Health Science 2015年第4期4卷 371-376页

作者： Rohan edmonds Anthony Leicht mark McKean Brendan Burkett School of Health and Sport Sciences University of the Sunshine Coast Sunshine Coast 4556 Australia College of Healthcare Sciences James -Cook University Townsville 4811 Australia

Objectives： Heart rate variability （HRV） can be a simple, non-invasive method of gauging cardiac autonomic nervous system fluctuations across periodised training workloads and taper in elite athlete populations. the purpose of these three case studies was to examine daily cardiac autonomic variations in Paralympic athletes leading in to the Paralympic games. Methods： three Paralympie gold medallist swimmers were monitored daily for their resting HRV over a 17-week monitoring period leading up to the Paralympic games. Specific time- and frequency-domain measures, along with non-linear indices of HRV were calculated for all analyses. All HRV data were analysed individually using daily values, weekly average values, and average values for rest and training phases. Results： A significant difference in HRV was seen for all variables between athlete 1 and athletes 2 and 3 （amputee disabilities） during the entire monitoring period. Conclusion： Despite minimal long-term changes, both swimming classification and disability type significantly influence HRV during athlete monitoring. An increased understanding of individual responses to training, travel, and other outside influences affecting Paralympic athletes could potentially lead to improved management and monitoring of training workloads for enhanced nerformance.

关键词： Autonomic nervous system Cardiac modulation Disability Elite athlete Periodised training testing

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Dark,Beyond Deep:A Paradigm Shift to Cognitive AI with Humanlike Common Sense

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Engineering 2020年第3期6卷 310-345页

作者： Yixin Zhu tao Gao Lifeng Fan Siyuan Huang mark edmonds Hangxin Liu Feng Gao Chi Zhang Siyuan Qi Ying Nian Wu Joshua B.tenenbaum Song-Chun Zhu Center for Vision CognitionLearningand AutonomyUniversity of CaliforniaLos AngelesCA 90095USA Center for Brains Mindsand MachinesMassachusetts Institute of TechnologyCambridgeMA 02139USA

Recent progress in deep learning is essentially based on a“big data for small tasks”paradigm,under which massive amounts of data are used to train a classifier for a single narrow *** this paper,we call for a shift that flips this paradigm upside ***,we propose a“small data for big tasks”paradigm,wherein a single artificial intelligence(AI)system is challenged to develop“common sense,”enabling it to solve a wide range of tasks with little training *** illustrate the potential power of this new paradigm by reviewing models of common sense that synthesize recent breakthroughs in both machine and human *** identify functionality,physics,intent,causality,and utility(FPICU)as the five core domains of cognitive AI with humanlike common *** taken as a unified concept,FPICU is concerned with the questions of“why”and“how,”beyond the dominant“what”and“where”framework for understanding *** are invisible in terms of pixels but nevertheless drive the creation,maintenance,and development of visual *** therefore coin them the“dark matter”of *** as our universe cannot be understood by merely studying observable matter,we argue that vision cannot be understood without studying *** demonstrate the power of this perspective to develop cognitive AI systems with humanlike common sense by showing how to observe and apply FPICU with little training data to solve a wide range of challenging tasks,including tool use,planning,utility inference,and social *** summary,we argue that the next generation of AI must embrace“dark”humanlike common sense for solving novel tasks.

关键词： Computer vision Artificial intelligence Causality Intuitive physics Functionality Perceived intent Utility

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国际需求促进可编程电源的发展

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今日电子 2000年第9期 21-22页

作者： mark edmonds Xantrex technology公司

严格的全球性标准导致产生更高效、更可靠。

关键词：可编程电源寿命安全性功率因数

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“暗”,不止于“深”——迈向认知智能与类人常识的范式转换

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Engineering 2020年第3期6卷 230-306页

作者：朱毅鑫高涛范丽凤黄思远 mark edmonds 刘航欣高枫张驰綦思源吴英年 Joshua B.tenenbaum 朱松纯 Center for Vision CognitionLearningand AutonomyUniversity of California Center for Brains Mindsand MachinesMassachusetts Institute of Technology

近年来,深度学习的研究进展本质上是基于"以大数据驱动小任务"的范式,其依靠的是通过大量数据训练的分类器解决一项单一的任务。本文中,我们提出将范式中数据和任务的关系颠倒。在"以小数据驱动大任务"的新范式下,只有少量数据的单一人... 详细信息

近年来,深度学习的研究进展本质上是基于"以大数据驱动小任务"的范式,其依靠的是通过大量数据训练的分类器解决一项单一的任务。本文中,我们提出将范式中数据和任务的关系颠倒。在"以小数据驱动大任务"的新范式下,只有少量数据的单一人工智能系统便可以发展出"常识",并且用"常识"来解决各种任务。通过回顾综合了机器与人类视觉常识模型的最新突破,我们将阐释这个新范式的潜力。我们将功能性(functionality)、物理(physics)、意图(intent)、因果(causality)和效用(utility)(FPICU)认定为拥有类人常识的认知人工智能的5个核心领域。对于视觉理解,FPICU超越了传统的"是什么"和"在何处"的问题框架,而聚焦于"为什么"和"怎么样"。这些问题在像素层面上并不可见,却促进了视觉场景的创建、维护和发展。因此,我们将它们称为视觉的"暗物质"。正如仅仅研究可观察到的物质不足以理解宇宙,我们认为不研究学习FPICU等"暗物质"就无法理解视觉。本文通过展示如何在少量训练数据的条件下观测和应用FPICU来广泛完成一系列挑战性任务,从而证明这个新观点具有开发类人常识的认知智能的能力。这些任务包括工具使用、规划、效用推断和社交学习。总而言之,为了完成未曾见过的任务,下一代人工智能技术必须具备类人常识的"暗物质"。

关键词：计算机视觉人工智能因果直觉物理功能性主观意图效用

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