Results 11 to 20 of about 2,763,762 (257)

Surrogate Modeling of Nonlinear Components and Circuits [PDF]

, 2022
Surrogate models are simplified approximations of functions that are described by complex equations. Surrogate modeling of physical systems have been used in various fields such as biology, fluid dynamics, climate modeling, and various other engineering ...
Byars, Byron William
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SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes [PDF]

, 2023
The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems.
Lefebvre, Thierry, Martins, Joaquim R.R.A., Lafage, Remi, Hwang, John, T, Saves, Paul, Diouane, Youssef, Hwang, John T., Morlier, Joseph, Martins, Joaquim R. R. A., Bartoli, Nathalie, Bussemaker, Jasper   +10 more
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Effective design space exploration of gradient nanostructured materials using active learning based surrogate models

Materials & Design, 2019
Inspired by gradient structures in the nature, Gradient Nanostructured (GNS) metals have emerged as a new class of materials with tunable microstructures.
Xin Chen, Haofei Zhou, Yumeng Li
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Electrical machines surrogate‐based design optimization based on novel waveform targeting strategy with improvement of the computational efficiency

IET Electric Power Applications, 2022
Electrical machine design optimization is an expensive procedure as it contains numerous variables and multiple objectives. Therefore, it might require hundreds of time‐consuming finite element analyses (FEA).
Farnam Farshbaf Roomi, Abolfazl Vahedi, Amin Nobahari   +2 more
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Recent advances in surrogate-based optimization [PDF]

, 2009
The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester, Andy J. Keane, Keane, Andy J., Forrester, Alexander I.J.   +3 more
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Surrogate modeling of RF circuit blocks [PDF]

, 2010
Surrogate models are a cost-effective replacement for expensive computer simulations in design space exploration. Literature has already demonstrated the feasibility of accurate surrogate models for single radio frequency (RF) and microwave devices ...
Tom Dhaene, Dhaene, Tom, Jeroen A. Croon, Dirk Gorissen, Luciano De Tommasi, Croon, Jeroen A, Gorissen, Dirk, De Tommasi, Luciano   +7 more
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Computational fluid dynamics analysis and extended adaptive hybrid functions model-based design optimization of an explosion-proof safety valve

Engineering Applications of Computational Fluid Mechanics, 2022
Extremely complex flow channels and multi-parameter, highly nonlinear thermal fluid–structure interactions are the main factors restricting the exploration mechanism and optimal design of explosion-proof valves.
Chaoyong Zong, Qingye Li, Kunpeng Li, Xueguan Song, Dianjing Chen, Xiaofeng Li, Xuebin Wang   +6 more
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A Data Compression Strategy for the Efficient Uncertainty Quantification of Time-Domain Circuit Responses

IEEE Access, 2020
This paper presents an innovative modeling strategy for the construction of efficient and compact surrogate models for the uncertainty quantification of time-domain responses of digital links. The proposed approach relies on a two-step methodology. First,
Paolo Manfredi, Riccardo Trinchero
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Active learning to understand infectious disease models and improve policy making. [PDF]

PLoS Computational Biology, 2014
Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding.
Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens   +5 more
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Multifidelity Surrogate Models for Efficient Uncertainty Propagation Analysis in Salars Systems

Frontiers in Water, 2022
Salars are complex hydrogeological systems where the high-density contrasts require advanced numerical models to simulate groundwater flow and brine transport.
Vasileios Christelis, Andrew G. Hughes
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