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Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 133-144 doi: 10.15302/J-SSCAE-2022.04.016

Abstract: , distributed superconducting quantum computation, photonic quantum computation, trapped-ion quantumquantum computation, distributed superconducting quantum computation, photonic quantum computation,trapped-ion quantum computation, and silicon-based quantum computation); distributed superconductingquantum computation" outline_type="title" type="outline">《5 Distributed superconducting quantum computationThese challenges hinder the scale of distributed superconducting quantum computation from being further

Keywords: quantum computation     quantum algorithm     control system of quantum computation     quantum software     superconductingquantum computation     distributed quantum computation     trapped-ion quantum computation     silicon-basedquantum computation     photonic quantum computation     neutral atom quantum computation     nitrogen-vacancycolor center in diamond     nuclear magnetic resonance quantum computation     quantum computation with spinwave     topological quantum computation    

Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin Article

Heng Zhou, Chunjie Yang, Youxian Sun

Engineering 2021, Volume 7, Issue 9,   Pages 1274-1281 doi: 10.1016/j.eng.2021.04.022

Abstract:

The shortage of computation methods and storage devices has largely limited the development of multiobjective

Keywords: Cloud factory     Blast furnace     Multi-objective optimization     Distributed computation    

HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 150-154 doi: 10.15302/J-FASE-2021419

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 4,   Pages 458-464 doi: 10.1007/s11709-011-0133-7

Abstract: This paper presents a numerical simulation study on electromechanical impedance technique for structural damage identification. The basic principle of impedance based damage detection is structural impedance will vary with the occurrence and development of structural damage, which can be measured from electromechanical admittance curves acquired from PZT patches. Therefore, structure damage can be identified from the electromechanical admittance measurements. In this study, a model based method that can identify both location and severity of structural damage through the minimization of the deviations between structural impedance curves and numerically computed response is developed. The numerical model is set up using the spectral element method, which is promised to be of high numerical efficiency and computational accuracy in the high frequency range. An optimization procedure is then formulated to estimate the property change of structural elements from the electric admittance measurement of PZT patches. A case study on a pin-pin bar is conducted to investigate the feasibility of the proposed method. The results show that the presented method can accurately identify bar damage location and severity even when the measurements are polluted by 5% noise.

Keywords: PZT     piezoelectric impedance     optimization     spectral element     damage identification    

Iteration framework for solving mixed lubrication computation problems

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 635-648 doi: 10.1007/s11465-021-0632-8

Abstract: The general discrete scheme of time-varying Reynolds equation loses the information of the previous step, which makes it unreasonable. A discretization formula of the Reynolds equation, which is based on the Crank–Nicolson method, is proposed considering the physical message of the previous step. Gauss–Seidel relaxation and distribution relaxation are adopted for the linear operators of pressure during the numerical solution procedure. In addition to the convergent criteria of pressure distribution and load, an estimation framework is developed to investigate the relative error of the most important term in the Reynolds equation. Smooth surface with full contacts and mixed elastohydrodynamic lubrication is tested for validation. The asperity contact and sinusoidal wavy surface are examined by the proposed discrete scheme. Results show the precipitous decline in the boundary of the contact area. The relative error suggests that the pressure distribution is reliable and reflects the accuracy and effectiveness of the developed method.

Keywords: mixed lubrication     discretization formula     relative error     Reynolds equation     asperity    

Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Frontiers of Medicine 2014, Volume 8, Issue 3,   Pages 310-315 doi: 10.1007/s11684-014-0358-7

Abstract: This study describes the origin, concept, connotation, and value of studies regarding the scientific computation

Keywords: big data     real world     clinical research     Chinese medicine     medical computing    

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: Computational homogenization methods for nonlinear material and implementation of offline multiscale computation

Keywords: multiscale method     constitutive model     feedforward neural network     recurrent neural network    

Analytical model and finite element computation of braking torque in electromagnetic retarder

Lezhi YE,Guangzhao YANG,Desheng LI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 368-379 doi: 10.1007/s11465-014-0314-x

Abstract:

An analytical model has been developed for analyzing the braking torque in electromagnetic retarder by flux tube and armature reaction method. The magnetic field distribution in air gap, the eddy current induced in the rotor and the braking torque are calculated by the developed model. Two-dimensional and three-dimensional finite element models for retarder have also been developed. Results from the analytical model are compared with those from finite element models. The validity of these three models is checked by the comparison of the theoretical predictions and the measurements from an experimental prototype. The influencing factors of braking torque have been studied.

Keywords: electromagnetic retarder     magnetic field distribution     magnetic circuit     finite element method    

Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 283-295 doi: 10.1631/FITEE.1500306

Abstract: In this paper, the effects of altering the organizational setting of distributed adaptive search processesResults suggest that inducing organizational dynamics has the potential to increase the effectiveness of distributed

Keywords: Agent-based simulation     Complexity     Coordination     Distributed search     NK landscapes    

Data-driven distribution network topology identification considering correlated generation power of distributed

Frontiers in Energy 2022, Volume 16, Issue 1,   Pages 121-129 doi: 10.1007/s11708-021-0780-x

Abstract: This paper proposes a data-driven topology identification method for distribution systems with distributed

Keywords: power distribution network     data-driven     topology identification     distributed energy resource     maximal    

Analysis of the current situation of environmental policy of China and establishment of distributed environmental

Chaoyang FU,Wangfeng LI

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 310-316 doi: 10.1007/s11783-014-0658-9

Abstract: By introduction of distributed management tools into the implementation of environmental policies, market-oriented

Keywords: environmental policy     distributed environment policy     distributed parameter model     lumped parameter model    

An application of game theory in distributed collaborative decision making

Angran XIAO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1,   Pages 85-101 doi: 10.1007/s11465-019-0523-4

Abstract: In a distributed product realization environment, new paradigms and accompanying software systems are

Keywords: collaboration     distributed product realization     game theory     digital interface    

Incentive-Aware Blockchain-Assisted Intelligent Edge Caching and Computation Offloading for IoT Article

Qian Wang, Siguang Chen, Meng Wu

Engineering 2023, Volume 31, Issue 12,   Pages 127-138 doi: 10.1016/j.eng.2022.10.014

Abstract: In this paper, we propose an incentive-aware blockchain-assisted intelligent edge caching and computation

Keywords: Computation offloading     Caching     Incentive     Blockchain     Federated deep reinforcement learning    

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: In order to significantly reduce the computation cost for fault location, the paper presents a new fault

Keywords: block-pulse function     nonlinear     multiple     diagnosis     combination    

Significant potential of Solid Oxide Fuel Cell systems for distributed power generation and carbon neutrality

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 879-882 doi: 10.1007/s11708-022-0850-8

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Title Author Date Type Operation

Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Journal Article

Intelligent Ironmaking Optimization Service on a Cloud Computing Platform by Digital Twin

Heng Zhou, Chunjie Yang, Youxian Sun

Journal Article

HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Journal Article

Spectral element modeling based structure piezoelectric impedance computation and damage identification

Zhigang GUO, Zhi SUN

Journal Article

Iteration framework for solving mixed lubrication computation problems

Journal Article

Scientific computation of big data in real-world clinical research

Guozheng Li,Xuewen Zuo,Baoyan Liu

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Analytical model and finite element computation of braking torque in electromagnetic retarder

Lezhi YE,Guangzhao YANG,Desheng LI

Journal Article

Organizational dynamics in adaptive distributed search processes: effects on performance and the role

Friederike WALL

Journal Article

Data-driven distribution network topology identification considering correlated generation power of distributed

Journal Article

Analysis of the current situation of environmental policy of China and establishment of distributed environmental

Chaoyang FU,Wangfeng LI

Journal Article

An application of game theory in distributed collaborative decision making

Angran XIAO

Journal Article

Incentive-Aware Blockchain-Assisted Intelligent Edge Caching and Computation Offloading for IoT

Qian Wang, Siguang Chen, Meng Wu

Journal Article

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

Significant potential of Solid Oxide Fuel Cell systems for distributed power generation and carbon neutrality

Journal Article