Results 211 to 220 of about 109,654 (268)
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
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From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices
Advanced Engineering Materials, EarlyView.Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle +3 more
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Advanced Engineering Materials, EarlyView.This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele +2 more
wiley +1 more source
Introduction to modeling and simulation [PDF]
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004 Simulation is a powerful tool for the analysis of new system designs, retrofits to existing systems and proposed changes to operating rules. Conducting a valid simulation is both an art and a science. This paper provides an introduction to simulation and modeling and the main concepts underlying simulation. It discusses a number of key issues regarding
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Proceedings of the March 1-3, 1955, western joint computer conference on - AFIPS '55 (Western), 1955
Simulation by modeling may be classified into three related methods.1. We may use analog models which obey the same laws as the phenomena we wish to study. Instruments such as network analyzers, slide rules, and electrolytic tanks are examples of devices that are used to make analog models.2. We may use mathematical models to describe phenomena we wish
N. L. Irvine, L. Davis
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Simulation by modeling may be classified into three related methods.1. We may use analog models which obey the same laws as the phenomena we wish to study. Instruments such as network analyzers, slide rules, and electrolytic tanks are examples of devices that are used to make analog models.2. We may use mathematical models to describe phenomena we wish
N. L. Irvine, L. Davis
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On Modelling And Simulation of Occupant Models
Building Simulation Conference Proceedings, 2015The selection of modelling and simulation methodologies plays an unprecedented role over the predictive accuracy of occupant behaviour and presence models. In this study, different modelling and simulation formalisms emerging from the literature were introduced to represent occupant's presence and lighting use in BPS tools.
Gunay, H. B. +4 more
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Modeling and simulation of the trawl in fishing simulator
Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry - Volume 1, 2016The aim of the present study is to develop a numerical calculation method to accomplish dynamic simulation of the fishing nets in fishing simulator. Fishing nets were modeled as a group of lumped mass points interconnected with springs that have no mass under the uniform flow motion.
Shuai Gao +3 more
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MODELLING AND / FOR / BY SIMULATION
Annual Review in Automatic Programming, 1985Abstract Various aspects of the close interconnection of the two tasks ‘Modelling a System’ and ‘Simulating a System’, shall be discussed for continuous systems. Some typical examples from different areas of application will be given in order to provide some insight into this matter.
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Validation of simulation models
Journal of Experimental & Theoretical Artificial Intelligence, 2012In philosophy of science, the interest for computational models and simulations has increased heavily during the past decades. Different positions regarding the validity of models have emerged but the views have not succeeded in capturing the diversity of validation methods.
Rehman, Muniza, Pedersen, Stig Andur
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