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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    

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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    

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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    

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Chinese Academy of Engineering Physics Dedicated to National Prosperity

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

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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-informed

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

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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    

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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    

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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    

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A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps Article

Hangxin Liu,Zeyu Zhang,Ziyuan Jiao,Zhenliang Zhang,Minchen Li,Chenfanfu Jiang,Yixin Zhu,Song-Chun Zhu

Engineering 2024, Volume 32, Issue 1,   Pages 203-220 doi: 10.1016/j.eng.2023.01.009

Abstract:

In this work, we present a reconfigurable data glove design to capture different modes of human hand–object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks. To achieve various downstream tasks with distinct features, our reconfigurable data glove operates in three modes sharing a unified backbone design that reconstructs hand gestures in real time. In the tactile-sensing mode, the glove system aggregates manipulation force via customized force sensors made from a soft and thin piezoresistive material; this design minimizes interference during complex hand movements. The virtual reality (VR) mode enables real-time interaction in a physically plausible fashion: A caging-based approach is devised to determine stable grasps by detecting collision events. Leveraging a state-of-the-art finite element method, the simulation mode collects data on fine-grained four-dimensional manipulation events comprising hand and object motions in three-dimensional space and how the object's physical properties (e.g., stress and energy) change in accordance with manipulation over time. Notably, the glove system presented here is the first to use high-fidelity simulation to investigate the unobservable physical and causal factors behind manipulation actions. In a series of experiments, we characterize our data glove in terms of individual sensors and the overall system. More specifically, we evaluate the system's three modes by ① recording hand gestures and associated forces, ② improving manipulation fluency in VR, and ③ producing realistic simulation effects of various tool uses, respectively. Based on these three modes, our reconfigurable data glove collects and reconstructs fine-grained human grasp data in both physical and virtual environments, thereby opening up new avenues for the learning of manipulation skills for embodied AI agents.

Keywords： Data glove     Tactile sensing     Virtual reality     Physics-based simulation    

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Development in Engineering Science and the Prospect of Contemporary Physics

Song Wenmiao

Strategic Study of CAE 2004, Volume 6, Issue 9,   Pages 14-19

Abstract:

The relationship among the relativity quantum theory and macroscopic physics are investigated based

Keywords： relativity     quantum theory     engineering science     wave function space     wave-particle duality    

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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 physics

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

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An Ameliorated Method of Simulation for theWeibull-distributed Clutter

Jiang Bin,He Xiang,Li Xiang,Wang Hongqiang,Guo Guirong

Strategic Study of CAE 2007, Volume 9, Issue 1,   Pages 44-48

Abstract:

To solve the question that the realizable linear filter in physics isfeature and complex cepstrum technology, this paper proposes the technique for the realizable filter in physics.Then

Keywords： Weibull-distributed clutter     ZMNL     complex cepstrum     realizable linear filter in physics     simulation    

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Towards an integrated modeling of the plasma-solid interface

Michael Bonitz, Alexey Filinov, Jan-Willem Abraham, Karsten Balzer, Hanno Kählert, Eckhard Pehlke, Franz X. Bronold, Matthias Pamperin, Markus Becker, Dettlef Loffhagen, Holger Fehske

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 2,   Pages 201-237 doi: 10.1007/s11705-019-1793-4

Abstract: Similarly, while surface physics simulations have often studied the impact of single ions or neutralsWe briefly summarize relevant theoretical methods from solid state and surface physics that are

Keywords： plasma physics     surface science     plasma-surface modeling     DFT     nonequilibrium Green functions    

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Understanding of a New Generation of Intelligent Manufacturing based on RAMI 4.0

Zhao Min

Strategic Study of CAE 2018, Volume 20, Issue 4,   Pages 90-96 doi: 10.15302/J-SSCAE-2018.04.015

Abstract:

In order to gain a deeper understanding of the significance of the Chinese Academy of Engineering's "China Intelligent Manufacturing Development Strategy Research Report Based on the New Generation of Artificial Intelligence", the author adopts the method of deconstruction and reconstruction, to analyze the Reference Architecture Model of Industrial 4.0 (RAMI 4.0) of Germany, and compared with the general architecture of intelligent manufacturing proposed in the report of the Chinese Academy of Engineering, and similarities and differences of each other are found. It is believed that the general architecture of the intelligent manufacturing in China is superior in intelligence. This is the Chinese contribution to the development of intelligent manufacturing. At the same time, the analysis deepens the understanding of the both architectures.

Keywords： RAMI 4.0     cyber-physics system (CPS)     basic paradigm     new-generation artificial intelligence     architecture    

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Application of WIMS/CITATION in the calculation of IHNI-1 reactor core physics

Zhao Zhumin,Zhang Liang,Jiang Xinbiao,Chen Lixin,Zhu Yangni,Zhou Yongmao

Strategic Study of CAE 2012, Volume 14, Issue 8,   Pages 38-41

Abstract:

Using WIMS & CITATION program, the neutronic parameters calculating model of in-hospital neutron irradiator mark 1(IHNI-1) reactor is presented in this paper.The power distribution, reactivity worth of control rod and top beryllium, temperature coefficient and burnup are calculated. It proves that the results are consistent with the literature values and the method is appropriate to physical calculation of IHIN-1 reactor.

Keywords： IHNI-1 reactor     reactor core     neutron     WIMS     CITATION    

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Title Author Date Type Operation

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

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

Journal Article

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

Ruan Jing and Hu Feng

Journal Article

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

Yongqing SU, Yikuan SONG, Jiguang YUE

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

A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps

Hangxin Liu,Zeyu Zhang,Ziyuan Jiao,Zhenliang Zhang,Minchen Li,Chenfanfu Jiang,Yixin Zhu,Song-Chun Zhu

Journal Article

Development in Engineering Science and the Prospect of Contemporary Physics

Song Wenmiao

Journal Article

Microwave metamaterials: from exotic physics to novel information systems

Rui-yuan WU, Tie-jun CUI

Journal Article

An Ameliorated Method of Simulation for theWeibull-distributed Clutter

Jiang Bin,He Xiang,Li Xiang,Wang Hongqiang,Guo Guirong

Journal Article

Towards an integrated modeling of the plasma-solid interface

Michael Bonitz, Alexey Filinov, Jan-Willem Abraham, Karsten Balzer, Hanno Kählert, Eckhard Pehlke, Franz X. Bronold, Matthias Pamperin, Markus Becker, Dettlef Loffhagen, Holger Fehske

Journal Article

Understanding of a New Generation of Intelligent Manufacturing based on RAMI 4.0

Zhao Min

Journal Article

Application of WIMS/CITATION in the calculation of IHNI-1 reactor core physics

Zhao Zhumin,Zhang Liang,Jiang Xinbiao,Chen Lixin,Zhu Yangni,Zhou Yongmao

Journal Article