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Multirange Fractals in Materials: Applications to Fracture and Mechanical Alloying under Ball Milling 被引量:1
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作者 Chiwei LUNG(International Centre for Materials Physics, Institute of Metal Research,Chinese Academy of Sciences, Shenyang 110015, China) 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 1997年第4期255-259,共5页
A new model of multirange fractals is proposed to explain the experimental results observed on the fractal dimensions of the fractured surfaces in materials. A new expIanation to the WilIiford’s multifractal curve on... A new model of multirange fractals is proposed to explain the experimental results observed on the fractal dimensions of the fractured surfaces in materials. A new expIanation to the WilIiford’s multifractal curve on the relationship of fractal dimension with fracture properties in materials has been given. It shows the importance of fractorizing out the effect of fractal structure from other physical causes and separating the appropriate range of scale from multirange fractals.Mechanical alloying process under ball milling as a non-equilibrium dynamical system has been also 展开更多
关键词 BALL applications to Fracture and Mechanical Alloying under Ball Milling Multirange Fractals in Materials
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Deep Learning Applied to Computational Mechanics:A Comprehensive Review,State of the Art,and the Classics
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作者 Loc Vu-Quoc Alexander Humer 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第11期1069-1343,共275页
Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularl... Three recent breakthroughs due to AI in arts and science serve as motivation:An award winning digital image,protein folding,fast matrix multiplication.Many recent developments in artificial neural networks,particularly deep learning(DL),applied and relevant to computational mechanics(solid,fluids,finite-element technology)are reviewed in detail.Both hybrid and pure machine learning(ML)methods are discussed.Hybrid methods combine traditional PDE discretizations with ML methods either(1)to help model complex nonlinear constitutive relations,(2)to nonlinearly reduce the model order for efficient simulation(turbulence),or(3)to accelerate the simulation by predicting certain components in the traditional integration methods.Here,methods(1)and(2)relied on Long-Short-Term Memory(LSTM)architecture,with method(3)relying on convolutional neural networks.Pure ML methods to solve(nonlinear)PDEs are represented by Physics-Informed Neural network(PINN)methods,which could be combined with attention mechanism to address discontinuous solutions.Both LSTM and attention architectures,together with modern and generalized classic optimizers to include stochasticity for DL networks,are extensively reviewed.Kernel machines,including Gaussian processes,are provided to sufficient depth for more advanced works such as shallow networks with infinite width.Not only addressing experts,readers are assumed familiar with computational mechanics,but not with DL,whose concepts and applications are built up from the basics,aiming at bringing first-time learners quickly to the forefront of research.History and limitations of AI are recounted and discussed,with particular attention at pointing out misstatements or misconceptions of the classics,even in well-known references.Positioning and pointing control of a large-deformable beam is given as an example. 展开更多
关键词 Deep learning breakthroughs network architectures backpropagation stochastic optimization methods from classic to modern recurrent neural networks long short-term memory gated recurrent unit attention transformer kernel machines Gaussian processes libraries Physics-Informed Neural Networks state-of-the-art history limitations challenges applications to computational mechanics Finite-element matrix integration improved Gauss quadrature Multiscale geomechanics fluid-filled porous media Fluid mechanics turbulence proper orthogonal decomposition Nonlinear-manifold model-order reduction autoencoder hyper-reduction using gappy data control of large deformable beam
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A review of the research on music therapy in hospice care
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作者 Meng-Xue Fu Qin Lin +3 位作者 Ji-Jun Wu Xiao-Li Zhong Ling-Na Yang Guo-Jing Han 《Frontiers of Nursing》 CAS 2020年第3期179-183,共5页
Objective:To summarize the research progress of music therapy in hospice care and to provide reference for further research.Methods:A wide range of literatures on music therapy and hospice care at home and abroad were... Objective:To summarize the research progress of music therapy in hospice care and to provide reference for further research.Methods:A wide range of literatures on music therapy and hospice care at home and abroad were searched and read,and the literature was integrated,judged,analyzed,and summarized.Results:The related research on music therapy in hospice care mainly focused on western developed countries such as Europe and the United States.China is still in the stage of theoretical exploration,lacking qualitative research based on case investigation and empirical research based on data statistics.Conclusions:Music therapy supports the management of symptoms in hospice care,which can meet the diverse needs of patients and their family members including physical,psychological,social,and spiritual. 展开更多
关键词 music therapy hospice care application and mechanism research progress REVIEW
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Practical Application of Mechanical Rack Track Locomotive in Shigejie Coal Mine
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《China Coal》 1997年第S1期46-47,共2页
关键词 Practical application of Mechanical Rack Track Locomotive in Shigejie Coal Mine
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Recent Development of Gas-Solid Phase Chemiluminescence
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作者 Dingkun Zhang Jin‑Ming Lin 《Journal of Analysis and Testing》 EI 2017年第4期267-273,共7页
Serving as a classic and interesting strategy,gas–solid phase chemiluminescence(CL)has recently been a rapidly growing area where CL is emitted through chemical reactions between gas and solid reactants occurred on t... Serving as a classic and interesting strategy,gas–solid phase chemiluminescence(CL)has recently been a rapidly growing area where CL is emitted through chemical reactions between gas and solid reactants occurred on the surface of solid matter.This CL system provided a sensitive and simple spectral method for investigating gas–solid phase reactions while information on the rate constants,intermediate productions,surface states and reaction mechanisms of interaction could be acquired.Recent progresses mainly concentrate on development of new gas–solid phase CL systems and their practical applications.This review paper summarized main classifications,mechanisms and applications of gas–solid phase CL.The future prospects for gas–solid phase CL are discussed. 展开更多
关键词 Gas-solid phase chemiluminescence Recent development Main classifications mechanismapplications
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