Tag: surrogate modeling

Researchers at Yangzhou University have developed an AI-driven evolutionary algorithm that reconfigures electrical distribution networks to reduce power losses, validated ...

A new systematic review and benchmark study shows that while genetic algorithms and particle swarm optimization remain reliable workhorses, Gaussian ...

Researchers in Shanghai have developed a physics-guided neural operator that predicts the levitation air-gap response of EMS maglev trains far ...

Researchers at RWTH Aachen University have developed a Bayesian data selection workflow that uses Kullback-Leibler divergence to quantify which observational ...

Researchers at Shihezi University combined discrete element simulation, machine learning, and a grey wolf optimizer to achieve near-perfect ordered conveying ...

Researchers have developed a physics-guided neural network that embeds energy conservation and error correction into deep learning to predict seismic ...

A machine learning framework that designs its own experiments boosted diacylglycerol yield from sunflower oil and cut prediction error fourteenfold ...

Researchers have developed an enhanced convolutional autoencoder that compresses axial temperature fields in a gas-oxygen/gas-methane rocket igniter by up to ...

Researchers have developed a polynomial chaos expansion framework that turns two-dimensional chloride corrosion modeling of repaired marine concrete structures into ...

Researchers combined kinetic Monte Carlo simulations with interpretable machine learning to predict and explain how additive manufacturing process parameters control ...