Topic
Modeling and simulation
About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.
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TL;DR: The history of multi-scale modeling and simulation that led to the development of HMM, the methodology itself together with some applications, and the mathematical theory of stability and accuracy are reviewed.
Abstract: The heterogeneous multi-scale method (HMM) is a general strategy for dealing with problems involving multi-scales, with multi-physics, using multi-grids. It not only unifies several existing multi-scale methods, but also provide a methodology for designing new algorithms for new applications. In this paper, we review the history of multi-scale modeling and simulation that led to the development of HMM, the methodology itself together with some applications, and the mathematical theory of stability and accuracy.
85 citations
IBM1
TL;DR: In this article, the authors examine the sources and trends of process variability, the new challenges associated with the increase in within-die variability analysis, and propose a modeling and simulation methodology to deal with this variability.
Abstract: Process-induced variations are an important consideration in the design of integrated circuits. Until recently, it was sufficient to model die-to-die shifts in device performance, leading to the well known worst-case modeling and design methodology. However, current and near-future integrated circuits are large enough that device and interconnect parameter variations within the chip are as important as those same variations from chip to chip. This presents a new set of challenges for process modeling and characterization and for the associated design tools and methodologies. This paper examines the sources and trends of process variability, the new challenges associated with the increase in within-die variability analysis, and proposes a modeling and simulation methodology to deal with this variability.
85 citations
Book•
17 Jul 2014
TL;DR: Different levels of complexity will be presented, starting with basic single-track models up to complex three-dimensional multi-body models, with a particular focus on the process of establishing mathematical models on the basis of real cars and the validation of simulation results.
Abstract: The authors examine in detail the fundamentals and mathematical descriptions of the dynamics of automobiles. In this context different levels of complexity will be presented, starting with basic single-track models up to complex three-dimensional multi-body models. A particular focus is on the process of establishing mathematical models on the basis of real cars and the validation of simulation results. The methods presented are explained in detail by means of selected application scenarios.
84 citations
TL;DR: The paper describes an efficient frequency-domain modeling and simulation method of a coupled interconnect system using scattering parameters that avoids explicit convolution, numerical transform, and artificial filtering of a large number of points that are often necessary in conventional approaches.
Abstract: The paper describes an efficient frequency-domain modeling and simulation method of a coupled interconnect system using scattering parameters. First, low-order rational approximations of the multiport scattering parameters are derived over a wide frequency range using a robust interpolation technique. The method applies frequency normalization, shift, and Householder QR orthogonalization to improve the stability and the accuracy when solving the resulting systems of equations. For interconnects characterized with frequency-dependent parasitic parameters, the order of the rational of approximation is reduced by using appropriate reference system. Then, the generated multiport pole-residue models are incorporated into a circuit simulator using recursive convolution. Thus, the method avoids explicit convolution, numerical transform, and artificial filtering of a large number of points that are often necessary in conventional approaches. Examples with experimental and simulated results are given to illustrate the method.
84 citations
TL;DR: A precomputation scheme and multilayer computational architecture enable the model's real-time execution with visual and haptic feedback to the user and presents methods for measuring and integrating experimental data on the viscoelastic material properties of soft tissues into the model for realistic display of visual deformations and interaction forces.
Abstract: We propose an end-to-end solution to real-time and realistic finite-element modeling and simulation of viscoelastic soft tissue behavior. We provide an efficient numerical scheme for solving a linear viscoelastic FEM model derived from the generalized Maxwell solid, and present methods for measuring and integrating experimental data on the viscoelastic material properties of soft tissues into the model for realistic display of visual deformations and interaction forces. Our precomputation scheme and multilayer computational architecture enable the model's real-time execution with visual and haptic feedback to the user. Our approach includes time- and rate-dependent effects, which requires considering a node's loading history in our displacement computations at each cycle of the simulation
83 citations