Results 21 to 30 of about 2,763,762 (257)
A PINN Surrogate Modeling Methodology for Steady-State Integrated Thermofluid Systems Modeling
Mathematical and Computational Applications, 2023 Physics-informed neural networks (PINNs) were developed to overcome the limitations associated with the acquisition of large training data sets that are commonly encountered when using purely data-driven machine learning methods.
Kristina Laugksch +2 more
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IEEE AccessThe machine learning method for surrogate modeling is a keystone in surrogate model-assisted evolutionary algorithms (SAEAs). The current arguably most widely used surrogate modeling methods in SAEAs are Gaussian process and radial basis function.
Yushi Liu +3 more
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, 2015 Surrogate models or metamodels are commonly used to exploit expensive computational simulations within a design optimization framework. The application of multi-fidelity surrogate modeling approaches has recently been gaining ground due to the potential ...
Toal, David J.J.
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Deep Graph Learning-Based Surrogate Model for Inverse Modeling of Fractured Reservoirs
MathematicsInverse modeling can estimate uncertain parameters in subsurface reservoirs and provide reliable numerical models for reservoir development and management. The traditional simulation-based inversion method usually requires numerous numerical simulations,
Xiaopeng Ma +4 more
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Optimal Design of Droplet Ejection for PZT Printhead Based on Surrogate Model
Applied Sciences, 2022 Droplet ejection technology is widely used in green and intelligent manufacturing. A stable jetting can be defined as no obvious satellite droplets during the whole ejection process, which is of great importance to ensure the quality and efficiency of ...
Ting Lei, Hong Liu, Cong Ma, Jiang Han
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, 2015 Practical formulations for EM-based modeling of microwave structures using simple polynomial surrogate functionals are described in this paper. A new polynomial surrogate formulation is proposed and compared against a previously published formulation ...
Brito-Brito, Zabdiel +2 more
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Pulsar Signal Adaptive Surrogate Modeling
AerospaceAs the number of spacecraft heading beyond Earth’s orbit increased in recent years, autonomous navigation solutions have become increasingly important. One such solution is pulsar-based navigation.
Tomáš Kašpárek, Peter Chudý
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Data-efficient sensitivity analysis with surrogate modeling
, 2018 As performing many experiments and prototypes leads to a costly and long analysis process, scientists and engineers often rely on accurate simulators to reduce costs and improve efficiency.
Tom Dhaene +7 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
A framework for surrogate-based aerodynamic optimization [PDF]
, 2011 At DLR, an optimization framework combining different CFD solvers, Design of Experiment methods, optimization algorithms, and various surrogate modeling methodologies with sample refinement strategies for efficient surrogate-based global optimization is ...
Görtz, Stefan +2 more
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