Results 31 to 40 of about 24,324,331 (382)
Two-stage variable-fidelity modeling of antennas with domain confinement
Scientific Reports, 2022 Surrogate modeling has become the method of choice in solving an increasing number of antenna design tasks, especially those involving expensive full-wave electromagnetic (EM) simulations. Notwithstanding, the curse of dimensionality considerably affects
Anna Pietrenko-Dabrowska +2 more
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Dynamical model of surrogate reactions [PDF]
Physical Review C, 2011 17 pages, 5 ...
Y. Aritomo, S. Chiba, K. Nishio
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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 ...
Croon, Jeroen A +3 more
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Classical Surrogates for Quantum Learning Models
Physical Review Letters, 2023 The advent of noisy intermediate-scale quantum computers has put the search for possible applications to the forefront of quantum information science. One area where hopes for an advantage through near-term quantum computers are high is quantum machine learning, where variational quantum learning models based on parametrized quantum circuits are ...
Franz J. Schreiber +2 more
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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 +2 more
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Kernel Methods for Surrogate Modeling
CoRR, 2019 This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
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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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Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning [PDF]
, 2017 The Wind Farm Layout Optimization problem involves finding the optimal positions for wind turbines on a wind farm site. Current Metahueristic based methods make use of a combination of turbine specifications and parameters, mathematical models and ...
Mayo, Michael +2 more
core +1 more source
State-of-the-Art: AI-Assisted Surrogate Modeling and Optimization for Microwave Filters
IEEE transactions on microwave theory and techniques, 2022 Microwave filters are indispensable passive devices for modern wireless communication systems. Nowadays, electromagnetic (EM) simulation-based design process is a norm for filter designs.
Yang Yu +6 more
semanticscholar +1 more source
A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems [PDF]
Science China Information Sciences, 2021 The temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors in thermal management plays an important role in the real-time health detection systems of electronic equipment in engineering.
Xiaoqian Chen +4 more
semanticscholar +1 more source