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Rabi Oscillations in Realistic Superlattice with Finite Bloch Bands

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Chinese physics Letters 2001年第3期18卷 425-428页

作者： fan Wen-Bin ZHANG ping {2. Ying ZHAO Xian-Geng Graduate School China Academy of Engineering PhysicsP.O.Box 2101Beijing 100088 institute of Applied physics and Computational Mathematics P.O.Box 8009Beijing 100088

We investigate the dynamical processes taking place in nanodevices by high-frequency dc-ac *** found that Rabi oscillations between minibands are clearly identified under theoretical resonant conditions derived by an ideal two bands superlattice model,the resonant conditions have broadened,and the amount of broadening is about four times of the Rabi oscillation *** also want to elucidate the role of different mechanisms that could lead to loss of quantum *** results show how the dephasing effects of disorder of interface roughness and doping fluctuation that destroy after some periods coherent oscillations,such as Rabi oscillations,can be reduced dramatically if we apply a bias static electric field to the superlattice *** fluctuation's dephasing effect is much stronger than that of interface roughness in coherent process of realistic superlattices.

关键词： bands resonant roughness

A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor

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Research in Astronomy and Astrophysics 2024年第10期24卷 25-35页

作者： Yi Zhao Wangchen Xue Shaolin Xiong Qi luo Yuanhao Wang Jiacong Liu Heng Yu Xiaoyun Zhao Yue Huang Jinyuan Liao Jianchao Sun Xiaobo Li Qibin Yi Ce Cai Shuo Xiao Shenglun Xie Chao Zheng Yanqiu Zhang Chenwei Wang Wenjun Tan Zhiwei Guo Chaoyang Li Zhenghua An Gang Chen Yanqi Du Min Gao Ke Gong Dongya Guo Jiang He Jianjian He Bing Li Gang Li Xinqiao Li Jing Liang Xiaohua Liang Yaqing Liu Xiang Ma Rui Qiao Liming Song Xinying Song Xilei Sun Jin Wang ping Wang Xiangyang Wen Hong Wu Yanbing Xu Sheng Yang Dali Zhang {2. Zhang Hongmei Zhang Peng Zhang Shu Zhang Zhen Zhang Shijie Zheng Keke Zhang Xingbo Han Haiyan Wu Hu Tai Hao Geng Gaopeng Lu Wei Xu {2.chao Lyu Hongbo Zhang {2.gjun Lu Shuangnan Zhang Department of Astronomy Beijing Normal UniversityBeijing 100875China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of sciences Beijing 100049China School of physics and Optoelectronics Xiangtan UniversityXiangtan 411105China College of physics Hebei Normal UniversityShijiazhuang 050024China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal UniversityGuiyang 550001China School of physics and Electronic Science Guizhou Normal UniversityGuiyang 550001China institute of Astrophysics Central China Normal UniversityWuhan 430079China College of physics sciences Technology Hebei UniversityBaoding 071002China physics and Space Science College China West Normal UniversityNanchong 637002China School of Computing and Artificial Intelligence Southwest Jiaotong UniversityChengdu 611756China College of Electronic and information Engineering Tongji UniversityShanghai 201804China Innovation Academy for Microsatellites of Chinese Academy of sciences Shanghai 201304China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Earth and Space sciences University of Science and Technology of ChinaHefei 230026China Electronic Information School Wuhan UniversityWuhan 430072China Key Laboratory of Transportation Meteorology of China Meteorological Administration Nanjing Joint Institute for Atmospheric SciencesNanjing 210000China Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up *** based on the relative counts of different detectors has been widely used for all-sky gamma-ray *** are two major methods for this count distribution localization:χ^(2.minimization method and the Bayesian *** we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the χ^(2.*** comprehensive simulations,we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the χ^(2.method,especially for weak *** further proposed a location-spectrum iteration approach based on the Bayesian inference,which could alleviate the problems caused by the spectral difference between the burst and location *** method is very suitable for scenarios with limited computation resources or timesensitive applications,such as in-flight localization software,and low-latency localization for rapidly follow-up observations.

关键词： methods:data analysis methods:analytical (stars:)gamma-ray burst:general

Analysis on Precipitation Efficiency of the “2..7” Henan Extremely Heavy Rainfall Event

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Advances in atmospheric sciences 2023年第3期40卷 374-392页

作者： Lei YIN fan ping Jiahua MAO Shuanggen JIN institute of atmospheric {2. Chinese Academy of SciencesBeijing 100029China School of Geomatics and Municipal Engineering Zhejiang University of Water Resources and Electric PowerHangzhou 310018China Nanjing University of Information Science and Technology Nanjing 210000China

A record-breaking heavy rainfall event that occurred in Zhengzhou,Henan province during 19–2. July 2.2. is simulated using the Weather Research and Forecasting Model,and the large-scale precipitation efficiency(LSPE)and cloud-microphysical precipitation efficiency(CMPE)of the rainfall are analyzed based on the model ***,the key physical factors that influenced LSPE and CMPE,and the possible mechanisms for the extreme rainfall over Zhengzhou are *** show that water vapor flux convergence was the key factor that influenced *** vapor was transported by the southeasterly winds between Typhoon In-Fa(2.2.)and the subtropical high,and the southerly flow of Typhoon Cempaka(2.2.),and converged in Zhengzhou due to the blocking by the Taihang and Funiu Mountains in western Henan *** moisture convergence centers were formed on the windward slope of the mountains,which led to high LSPE in *** the perspective of CMPE,the net consumption of water vapor by microphysical processes was the key factor that influenced *** budget analysis suggests that water vapor was mainly converted to cloud water and ice-phase particles and then transformed to raindrops through melting of graupel and accretion of cloud water by rainwater during the heavy precipitation *** dry intrusion in the middle and upper levels over Zhengzhou made the high potential vorticity descend from the upper troposphere and enhanced the convective ***,the intrusion of cold and dry air resulted in the supersaturation and condensation of water vapor,which contributed to the heavy rainfall in Zhengzhou.

关键词： extremely heavy rainfall Zhengzhou large-scale precipitation efficiency cloud-microphysical precipitation efficiency

Recent Ventures in Interdisciplinary Arctic Research:The ARCPATH Project

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Advances in atmospheric sciences 2024年第8期41卷 1559-1568页

作者： Astrid E.J.OGILVIE Leslie A.KING Noel KEENLYSIDE François COUNILLON Brynhildur DAVIÐSDÓTTIR Níels EINARSSON Sergey GULEV Ke fan Torben KOENIGK James R.MCGOODWIN Marianne H.RASMUSSON Shuting YANG institute of Arctic and Alpine Research(INSTAAR) University of ColoradoBoulder CO 80303USA Stefansson Arctic institute AkureyriÍS-600Iceland Royal Roads University BC V9B 5Y2Canada University of Bergen Bergen N-5007Norway Nansen Environmental and Remote Sensing Centre Bergen N-5007Norway University of Iceland Reykjavík 102Iceland Shirshov institute of Oceanology Moscow 117218Russia Moscow State University Moscow 11991Russia Chinese Academy of sciences Beijing 100045China Swedish Meteorological and Hydrological institute SE-60176 NorrköpingSweden Danish Meteorological institute CopenhagenØ2100Denmark Obukhov institute of atmospheric {2. RAS119017MoscowRussia

This paper celebrates Professor Yongqi GAO's significant achievement in the field of interdisciplinary studies within the context of his final research project Arctic Climate Predictions: Pathways to Resilient Sustainable Societies-ARCPATH(https://***/en/projects/finished-projects/arcpath). The disciplines represented in the project are related to climatology, anthropology, marine biology, economics, and the broad spectrum of social-ecological studies. Team members were drawn from the Nordic countries, Russia, China, the United States, and Canada. The project was transdisciplinary as well as interdisciplinary as it included collaboration with local knowledge holders. ARCPATH made significant contributions to Arctic research through an improved understanding of the mechanisms that drive climate variability in the Arctic. In tandem with this research, a combination of historical investigations and social, economic, and marine biological fieldwork was carried out for the project study areas of Iceland, Greenland, Norway, and the surrounding seas, with a focus on the joint use of ocean and sea-ice data as well as social-ecological drivers. ARCPATH was able to provide an improved framework for predicting the near-term variation of Arctic climate on spatial scales relevant to society, as well as evaluating possible related changes in socioeconomic realms. In summary, through the integration of information from several different disciplines and research approaches, ARCPATH served to create new and valuable knowledge on crucial issues, thus providing new pathways to action for Arctic communities.

关键词： Recent Ventures in Interdisciplinary Arctic Research:The ARCPATH Project

On the rapid intensification for Typhoon Meranti(2.16):convection,warm core,and heating budget

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Frontiers of Earth Science 2019年第4期13卷 791-807页

作者： Xiba TANG fan ping Shuai YANG Mengxia LI Jing PENG Laboratory of Cloud-Precipitation physics and Severe Storms Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu 610225China China Meteorological Administration Henan Key Laboratory of Agrometeorological Support and Applied Technique Zhengzhou 450000China Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Through a cloud-resolving simulation of the rapid intensification(RI)of Typhoon Meranti(2.16),the convections,warm core,and heating budget are investigated during the process of *** investigating the spatial distributions and temporal evolutions of both convectivestratiform precipitation and shallow-deep convections,we find that the inner-core convections take mode turns,from stratiform-precipitation(SP)dominance to convectiveprecipitation(CP)prevalence during the transition stages between pre-RI and *** the CP,it experiences fewer convections before RI,and the conversion from moderate/moderate-deep convections to moderate-deep/deep convections during *** is a clear upper-level warm-core structure during the process of ***,the mid-lowlevel warming begins first,before the RI of *** calculating the local potential temperature(0)budget of various convections,the link between convections and the warm core(and further to RI via the pressure drop due to the warming core)is ***,the transport pathways of heating toward the center of Meranti driven by pressure are *** total hydrostatic pressure decline is determined by the mid-low-level warm anomaly before RI,mostly caused by *** azimuthal-mean diabatic heating is the largest heating source,the mean vertical heat advection controls the vertical downwards transport by adiabatic warming of compensating downdrafts above eye region,and then the radial 6 advection term radially transports heat toward the center of Meranti in a slantwise *** the onset of RI,the heating efficiency of the upper-level warming core rises swiftly and overruns that of the mid-low-level warmanomaly, dominating the total pressure decrease and beingmainly led by moderate-deep and deep convections. Asidefrom the characteristics in common with SP, for CP, theeddy component of radial advection also plays a positiverole in warming the core, which enhances the centripetaltransport effect and

关键词： convection upper-level warm core heating budget Typhoon Meranti tropical cyclone

Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li fang Wang Sabine Grunwald Bryan MWong fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei {2. Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Chang{3. Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

A comparison study of atmospheric circulations and potential vorticity anomaly between the two rapid-intensified typhoons

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atmospheric and Oceanic Science Letters 2018年第6期11卷 481-490页

作者： Xi-Ba TANG fan ping Shuai YANG Meng-Xia LI Jing PENG Laboratory of Cloud-Precipitation physics and Severe Storms Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Plateau Atmosphere and Environment Key Laboratory of Sichuan Province ChengdouChina Center of Ecological Meteorology and Satellite Remote Sensing Henan Institute of Meteorological ScienceZhengzhouChina Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

For two rapid-intensification typhoons-Mujigae(2.15)and Vicente(2.12.-the {2. circulation conditions and potential vorticity(PV)anomaly are *** similar in their rapid-intensification(RI)rate,their {2. circulation conditions differ considerably,with the absence or presence of an upper-tropospheric inverted trough(IT)being their main *** IT provides useful clues for the onset of RI,by estimating the interaction between the environmental upper-tropospheric IT and the typhoon based on eddy momentum flux convergence *** trough–typhoon interaction is examined by comparing the PV transport process for the two *** isolated positive PV column develops vertically near Mujigae’s onset of RI,which is not influenced by synoptic-scale PV ***,for Vicente,another source-advection from a high-latitude PV reservoir along the upper-tropospheric IT-joins the built-up high-PV anomaly in favor of RI.

关键词： Rapidly intensification upper-tropospheric inverted trough potential vorticity

基于PINN深度机器学习技术求解多维中子学扩散方程

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核动力工程 2022年第2期43卷 1-8页

作者：刘东罗琦唐雷安萍杨帆中国核动力研究设计院核反应堆系统设计技术重点实验室成都610213 中核核能软件与数字化反应堆工程技术研究中心成都610213 中国核工业集团有限公司科技委北京100822

阐述了基于物理信息指引的神经网络模型(PINN),构造深度神经网络作为试函数,将其代入中子学扩散方程形成残差,并作为机器学习的加权损失函数,进而通过深度机器学习技术逼近中子学扩散方程数值解;针对扩散方程的特点,提出了特征值方程加... 详细信息

阐述了基于物理信息指引的神经网络模型(PINN),构造深度神经网络作为试函数,将其代入中子学扩散方程形成残差,并作为机器学习的加权损失函数,进而通过深度机器学习技术逼近中子学扩散方程数值解;针对扩散方程的特点,提出了特征值方程加速收敛方法、有效增殖系数(k_(eff))高效并行搜索技术、学习样本网格点不均匀分布策略等创新性关键技术,并对神经网络深度、神经元数量、边界条件损失函数权重等关键参数进行了敏感性分析。验证计算结果表明,该方法具有良好的精度,提出的关键技术具有显著的成效,为中子学扩散方程的数值求解探索出了新的技术途径。

关键词：深度机器学习基于物理信息指引的神经网络模型(PINN) 中子学扩散方程加速收敛有效增殖系数(k_(eff))

Simulation of the western North Pacific subtropical high in El Ni?o decaying summers by CMIP5 AGCMs

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atmospheric and Oceanic Science Letters 2017年第2期10卷 146-155页

作者： DONG Xiao fan fang-Xing LIN Ren-{2. JIN Jiang-Bo LIAN Ru-Xu International Center for Climate and Environment sciences Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China

The performances of CMIP5 atmospheric general circulation models （AGCMs） in simulating the western North Pacific subtropical high （WNPSH） in El Nino decaying summers are examined in this study. Results show that most models can reproduce the spatial pattern of both climatological and anomalous circulation associated with the WNPSH in El Nino decaying summers. Most CMIP5 AGCMs can capture the westward shift of the WNPSH in El Nino decaying summers compared with the climatological location. With respect to the sub-seasonal variation of the WNPSH, the performances of these AGCMs in reproducing the northward jump of the WNPSH are better than simulating the eastward retreat of the WNPSH from July to August. Twenty-one out of twenty-two （2. out of 2.） models can reasonably reproduce the northward jump of the WNPSH in El Nino decaying summers （climatology）, while only 7 out of 2. （8 out of 2.） AGCMs can reasonably reproduce the eastward retreat of the WNPSH in El Nino decaying summers （climatology）. In addition, there is a close connection between the climatological WNPSH location bias and that in El Nino decaying summers.

关键词： Western North Pacific subtropical high El Nino decaying summer CMIPS AGCM sub-seasonal variation