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Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tartakovsky, A. M.;  Marrero, C. Ortiz;  Perdikaris, Paris;  Tartakovsky, G. D.;  Barajas-Solano, D.
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/02
deep neural networks  physics-informed machine learning  parameter estimation  learning constitutive relationships  unsaturated flow  MAP  
Spin squeezing of 10(11) atoms by prediction and retrodiction measurements 期刊论文
NATURE, 2020, 581 (7807) : 159-+
作者:  Lan, Jun;  Ge, Jiwan;  Yu, Jinfang;  Shan, Sisi;  Zhou, Huan;  Fan, Shilong;  Zhang, Qi;  Shi, Xuanling;  Wang, Qisheng;  Zhang, Linqi;  Wang, Xinquan
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/03

The measurement sensitivity of quantum probes using N uncorrelated particles is restricted by the standard quantum limit(1), which is proportional to 1/root N. This limit, however, can be overcome by exploiting quantum entangled states, such as spin-squeezed states(2). Here we report the measurement-based generation of a quantum state that exceeds the standard quantum limit for probing the collective spin of 10(11) rubidium atoms contained in a macroscopic vapour cell. The state is prepared and verified by sequences of stroboscopic quantum non-demolition (QND) measurements. We then apply the theory of past quantum states(3,4) to obtain spin state information from the outcomes of both earlier and later QND measurements. Rather than establishing a physically squeezed state in the laboratory, the past quantum state represents the combined system information from these prediction and retrodiction measurements. This information is equivalent to a noise reduction of 5.6 decibels and a metrologically relevant squeezing of 4.5 decibels relative to the coherent spin state. The past quantum state yields tighter constraints on the spin component than those obtained by conventional QND measurements. Our measurement uses 1,000 times more atoms than previous squeezing experiments(5-10), with a corresponding angular variance of the squeezed collective spin of 4.6 x 10(-13) radians squared. Although this work is rooted in the foundational theory of quantum measurements, it may find practical use in quantum metrology and quantum parameter estimation, as we demonstrate by applying our protocol to quantum enhanced atomic magnetometry.


  
Sensitivity determined simultaneous estimation of multiple parameters in coupled models: part I-based on single model component sensitivities 期刊论文
CLIMATE DYNAMICS, 2019, 53: 5349-5373
作者:  Zhao, Yuxin;  Deng, Xiong;  Zhang, Shaoqing;  Liu, Zhengyu;  Liu, Chang
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/27
Data assimilation  Coupled parameter estimation  Simultaneous estimation of multiple parameters  Single model component sensitivities  
A Curve-Fitting Method for Estimating Bathymetry From Water Surface Height and Width 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (5) : 4288-4303
作者:  Schaperow, Jacob R.;  Li, Dongyue;  Margulis, Steven A.;  Lettenmaier, Dennis P.
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/26
river bathymetry  remote sensing  priors  parameter estimation  SWOT  hydrodynamic modeling  
Models of Single-Well Push-Pull Test With Mixing Effect in the Wellbore 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (12) : 10155-10171
作者:  Wang, Quanrong;  Shi, Wenguang;  Zhan, Hongbin;  Gu, Haochen;  Chen, Kewei
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/09
Radial dispersion  Parameter estimation  Solute transport  Modeling  
Using the normality assumption to calculate probability-based standardized drought indices: selection criteria with emphases on typical events 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38: E418-E436
作者:  Blain, Gabriel Constantino;  de Avila, Ana Maria H.;  Pereira, Vania Rosa
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
drought  standardized precipitation index  standardized precipitation evapotranspiration index  trade-off  parameter estimation  
Towards seamless large-domain parameter estimation for hydrologic models 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (9)
作者:  Mizukami, Naoki;  Clark, Martyn P.;  Newman, Andrew J.;  Wood, Andrew W.;  Gutmann, Ethan D.;  Nijssen, Bart;  Rakovec, Oldrich;  Samaniego, Luis
收藏  |  浏览/下载:11/0  |  提交时间:2019/04/09
hydrologic modeling  parameter estimation  large domain  
Estimating rainfall time series and model parameter distributions using model data reduction and inversion techniques 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (8)
作者:  Wright, Ashley J.;  Walker, Jeffrey P.;  Pauwels, Valentijn R. N.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
parameter estimation  rainfall retrieval  Bayesian statistics  wavelet transform  
FracFit: A robust parameter estimation tool for fractional calculus models 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  Kelly, James F.;  Bolster, Diogo;  Meerschaert, Mark M.;  Drummond, Jennifer D.;  Packman, Aaron I.
收藏  |  浏览/下载:9/0  |  提交时间:2019/04/09
fractional derivative  parameter estimation  CTRW  
Stochastic estimation of hydraulic transmissivity fields using flow connectivity indicator data 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (1)
作者:  Freixas, G.;  Fernandez-Garcia, D.;  Sanchez-Vila, X.
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/09
flow connectivity indicator  Cooper-Jacob method  transmissivity  parameter estimation  anisotropy  cokriging