Resource Type

Journal Article 291

Year

2024 1

2023 15

2022 18

2021 21

2020 27

2019 17

2018 20

2017 14

2016 15

2015 7

2014 11

2013 2

2012 7

2011 11

2010 5

2009 8

2008 14

2007 13

2006 10

2005 10

open ︾

Keywords

information 19

information technology 12

building information modeling 5

China 4

Geographic information system 4

geographic information system 4

project management 3

Artificial intelligence 2

Building Information Modeling 2

COVID-19 2

Cyber-physical systems 2

Database schemata 2

IHNI-1 reactor 2

Information 2

Information schema constructs 2

Internet Plus 2

SMF genotypes 2

SMF instances 2

SMF phenotypes 2

open ︾

Search scope:

排序： Display mode:

Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method

Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,

Engineering doi: 10.1016/j.eng.2023.08.011

Abstract: improve the accuracy and efficiency of structural response prediction, this study proposes a novel physics-informedThe proposed method includes a Phy-Seisformer model that incorporates the physical information of the

Keywords： Structural seismic response prediction     Physics information informed     Real-time prediction     Earthquake engineering    

HTML PDF Collect

FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction Research Articles

Donglin CHEN, Xiang GAO, Chuanfu XU, Siqi WANG, Shizhao CHEN, Jianbin FANG, Zheng WANG,chendonglin14@nudt.edu.cn,gaoxiang12@nudt.edu.cn,xuchuanfu@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 2,   Pages 207-219 doi: 10.1631/FITEE.2000435

Abstract: For flow-related design optimization problems, e.g., aircraft and automobile aerodynamic design, computational fluid dynamics (CFD) simulations are commonly used to predict flow fields and analyze performance. While important, CFD simulations are a resource-demanding and time-consuming iterative process. The expensive simulation overhead limits the opportunities for large design space exploration and prevents interactive design. In this paper, we propose FlowDNN, a novel (DNN) to efficiently learn flow representations from CFD results. FlowDNN saves computational time by directly predicting the expected flow fields based on given flow conditions and geometry shapes. FlowDNN is the first DNN that incorporates the underlying physical conservation laws of fluid dynamics with a carefully designed for steady . This approach not only improves the prediction accuracy, but also preserves the physical consistency of the predicted flow fields, which is essential for CFD. Various metrics are derived to evaluate FlowDNN with respect to the whole flow fields or regions of interest (RoIs) (e.g., boundary layers where flow quantities change rapidly). Experiments show that FlowDNN significantly outperforms alternative methods with faster inference and more accurate results. It speeds up a graphics processing unit (GPU) accelerated CFD solver by more than , while keeping the prediction error under 5%.

Keywords： Deep neural network     Flow prediction     Attention mechanism     Physics-informed loss    

HTML PDF Collect

Microwave metamaterials: from exotic physics to novel information systems Review Articles

Rui-yuan WU, Tie-jun CUI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 1,   Pages 4-26 doi: 10.1631/FITEE.1900465

Abstract: paper, we review the recent developments in the field of EM metamaterials, starting from their exotic physicsto their applications in novel information systems.emphatically present the concepts of digital coding metamaterials, programmable metamaterials, and informationBy extending the principles of information science to metamaterial designs, several functional devicesand information systems are presented, which enable digital and EM-wave manipulations simultaneously

Keywords： Metamaterial     Effective medium theory     Metasurface     Surface plasmon polaritons     Digital coding     Programmable     Information    

HTML PDF Collect

Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-Informed Article

Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

Engineering 2023, Volume 23, Issue 4,   Pages 181-195 doi: 10.1016/j.eng.2022.09.015

Abstract:

Molten pool characteristics have a significant effect on printing quality in laser powder bed fusion (PBF), and quantitative predictions of printing parameters and molten pool dimensions are critical to the intelligent control of the complex processes in PBF. Thus far, bidirectional predictions of printing parameters and molten pool dimensions have been challenging due to the highly nonlinear correlations involved. To
address this issue, we integrate an experiment on molten pool characteristics, a mechanistic model, and deep learning to achieve both forward and inverse predictions of key parameters and molten pool characteristics during laser PBF. The experiment provides fundamental data, the mechanistic model significantly augments the dataset, and the multilayer perceptron (MLP) deep learning model predicts the molten pool dimensions and process parameters based on the dataset built from the experiment and the mechanistic model. The results show that bidirectional predictions of the molten pool dimensions and process parameters can be realized, with the highest prediction accuracies approaching 99.9% and mean prediction accuracies of over 90.0%. Moreover, the prediction accuracy of the MLP model is closely related to the characteristics of the dataset—that is, the learnability of the dataset has a crucial impact on the prediction accuracy. The highest prediction accuracy is 97.3% with enhancement of the dataset via the mechanistic model, while the highest prediction accuracy is 68.3% when using only the experimental dataset. The prediction accuracy of the MLP model largely depends on the quality of the dataset as well. The research results demonstrate that bidirectional predictions of complex correlations using MLP are feasible for laser PBF, and offer a novel and useful framework for the determination of process conditions and outcomes for intelligent additive manufacturing.

 

Keywords： Additive manufacturing     Molten pool     Model     Deep learning     Learnability    

HTML PDF Collect

Where physics meets chemistry: Thin film deposition from reactive plasmas

Andrew Michelmore, Jason D. Whittle, James W. Bradley, Robert D. Short

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 4,   Pages 441-458 doi: 10.1007/s11705-016-1598-7

Abstract: In this review, we aim to show that plasma physics drives the chemistry of the plasma phase, and surface-plasma

Keywords： thin films     plasma physics     plasma chemistry     functionalization     polymer    

HTML PDF Collect

Exploration and research of space physics and space weather

Wang Chi

Strategic Study of CAE 2008, Volume 10, Issue 6,   Pages 41-45

Abstract:

Space physics is a fast-growing cross-discipline science with the advanceStarting from the early 1990s, space weather is born by applying the fundamentals of space physics togives a brief summary of the history, current status and future direction of the international space physicsand space weather exploration and study, and introduces the suggested space physics and space weather

Keywords： space physics     space weather     space physics exploration     strategic plan    

HTML PDF Collect

Physics and Energy Sustainable Development in China——For the World Year of Physics 2005

Du Xiangwan,Li Qingzhong

Strategic Study of CAE 2006, Volume 8, Issue 2,   Pages 1-6

Abstract:

There is a close correlation between physics and engineering technology, and the relationship betweenphysics and energy engineering is a typical example.some energy problems, such as nuclear physics and unclear energy (including fission and fusion energy) , photoeffect and photovoltaic electricity, physics and wind/bio - mass energy, physicsal chemistryThe article also discusses three applications of physics in energy saving in fields of illumination,

Keywords： physics     China     energy     energy saving     sustainable development    

HTML PDF Collect

Chinese Academy of Engineering Physics Dedicated to National Prosperity

Strategic Study of CAE 2001, Volume 3, Issue 8,   Pages 91-92

HTML PDF Collect

Physics model experimental research on the bearing capability of the middle tower caission foundation

Ruan Jing and Hu Feng

Strategic Study of CAE 2012, Volume 14, Issue 5,   Pages 57-61

Abstract: To verify the safety and stability of the middle pylon of Taizhou Bridge, a physics model with the scale

Keywords： bearing capability of caission foundation     Taizhou Bridge     physics model experiment    

HTML PDF Collect

Framework based on building information modeling, mixed reality, and a cloud platform to support information

Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI

Frontiers of Engineering Management 2020, Volume 7, Issue 1,   Pages 131-141 doi: 10.1007/s42524-019-0071-y

Abstract: The quality of information flow management has a remarkable effect on the entire life cycle of buildingsThe introduction of building information modeling (BIM) in the construction industry can provide a valuablemeans of improving the organization and exchange of information.BIM tools integrate multiple levels of information within a single digital model of a building.Information requirements have been determined from the analyses of procedures that are usually implemented

Keywords： information flow management     BIM     mixed reality     common data environment     facility management    

HTML PDF Collect

Research on the Giant and Complex Financial Information System Engineering Management from the Perspectiveof Meta-synthesis Methodology—with the Bank Card Information Exchange System Engineering as a Sample

Hong-feng Chai,Quan Sun

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 404-413 doi: 10.15302/J-FEM-2016037

Abstract: The paper empirically studies the engineering practices of the national currency circulation informationsystem-China Union Pay’s Bankcard Information Exchange System.By integrating the meta-synthesis methodology and the financial information system engineering, the paperproposes basic principles and processes of the giant and complex financial information system engineering

Keywords： financial information system     meta-synthesis methodology     bank card     information exchange    

HTML PDF Collect

Analysis and experiment of controllability of magnetorheological fluids based on micro-pipeline

Yongqing SU, Yikuan SONG, Jiguang YUE

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 3,   Pages 339-344 doi: 10.1007/s11465-009-0048-3

Abstract: The model of the MRF and micro-pipeline is established by using multi-physics software of Comsol, the

Keywords： Magneto-rheological fluids (MRF)     micro-pipeline     coupled model     multi-physics simulation    

HTML PDF Collect

New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 249-253 doi: 10.1007/s11465-011-0124-3

Abstract:

This paper introduces the basic conception of information fusion and some fusion diagnosis methodsFrom the thought of the information fusion, a new quantitative feature index monitoring and diagnosingthe vibration fault of rotating machinery, which is called distance of information entropy, is put forwardThe mathematic deduction suggests that the conception of distance of information entropy is accordantThen, the accuracy of rotor fault diagnosis can be improved through the curve chart of the distance of information

Keywords： rotating machinery     information fusion     fault diagnosis     Information entropy     distance of the information    

HTML PDF Collect

Owner-dominated building information modeling and lean construction in a megaproject

Mingyue LI, Zhuoling MA, Xi TANG

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 60-71 doi: 10.1007/s42524-019-0042-3

Abstract: The integration of building information modeling (BIM) and lean construction (LC) provides a solution

Keywords： building information modeling     lean construction     airports     project management    

HTML PDF Collect

Relationship between Chief Executive Officer characteristics and corporate environmental information

Dayuan LI, Aiqi LIN, Lu ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 564-574 doi: 10.1007/s42524-019-0067-7

Abstract: This study focuses on the influence of Chief Executive Officer (CEO) characteristics on environmental information

Keywords： CEO characteristics     environmental information disclosure     Thailand    

HTML PDF Collect

Title Author Date Type Operation

Physics-Informed Deep Learning-Based Real-Time Structural Response Prediction Method

Ying Zhou,Shiqiao Meng,Yujie Lou,Qingzhao Kong,

Journal Article

FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction

Donglin CHEN, Xiang GAO, Chuanfu XU, Siqi WANG, Shizhao CHEN, Jianbin FANG, Zheng WANG,chendonglin14@nudt.edu.cn,gaoxiang12@nudt.edu.cn,xuchuanfu@nudt.edu.cn

Journal Article

Microwave metamaterials: from exotic physics to novel information systems

Rui-yuan WU, Tie-jun CUI

Journal Article

Predictions of Additive Manufacturing Process Parameters and Molten Pool Dimensions with a Physics-Informed

Mingzhi Zhao, Huiliang Wei, Yiming Mao, Changdong Zhang, Tingting Liu, Wenhe Liao

Journal Article

Where physics meets chemistry: Thin film deposition from reactive plasmas

Andrew Michelmore, Jason D. Whittle, James W. Bradley, Robert D. Short

Journal Article

Exploration and research of space physics and space weather

Wang Chi

Journal Article

Physics and Energy Sustainable Development in China——For the World Year of Physics 2005

Du Xiangwan,Li Qingzhong

Journal Article

Chinese Academy of Engineering Physics Dedicated to National Prosperity

Journal Article

Physics model experimental research on the bearing capability of the middle tower caission foundation

Ruan Jing and Hu Feng

Journal Article

Framework based on building information modeling, mixed reality, and a cloud platform to support information

Berardo NATICCHIA, Alessandra CORNELI, Alessandro CARBONARI

Journal Article

Research on the Giant and Complex Financial Information System Engineering Management from the Perspectiveof Meta-synthesis Methodology—with the Bank Card Information Exchange System Engineering as a Sample

Hong-feng Chai,Quan Sun

Journal Article

Analysis and experiment of controllability of magnetorheological fluids based on micro-pipeline

Yongqing SU, Yikuan SONG, Jiguang YUE

Journal Article

New method of fault diagnosis of rotating machinery based on distance of information entropy

Houjun SU, Tielin SHI, Fei CHEN, Shuhong HUANG

Journal Article

Owner-dominated building information modeling and lean construction in a megaproject

Mingyue LI, Zhuoling MA, Xi TANG

Journal Article

Relationship between Chief Executive Officer characteristics and corporate environmental information

Dayuan LI, Aiqi LIN, Lu ZHANG

Journal Article