Tag: surrogate modeling

A computational study found that a Cosserat-rod digital twin can reproduce key mechanics responses and rapidly rank continuous-tow composite deposition ...

A computational study found that the hybrid plant’s verified break-even price was $1.77–$3.12 per kilowatt-hour versus an uncooled PV-plus-OTEC reference, ...

A neural-network surrogate paired with differential evolution reduced model-predicted EV battery thermal risk by 94.8% across charging rates from 0.5C ...

A physics-informed residual network reconstructed aneurysm blood-flow fields more accurately than standard machine-learning models, with its strongest gains appearing in ...

A new heterogeneous graph Kolmogorov-Arnold network called HG-KAN predicts how water injected into layered oil reservoirs will perform, achieving high ...

Researchers have built a self-calibrating, physics-aware active learning workflow that finds well-matched microstrip patch antenna designs across four substrates and ...

An interpretable machine-learning framework trained on electro-thermal finite-element simulations predicts hidden temperature rise in bolted switchgear busbar joints, with XGBoost ...

A new hybrid reliability method called AK-FOCM combines active learning Kriging with first order control variates to estimate rare failure ...

Researchers have trained a deep neural network on 130,000 simulated samples to predict the reflection coefficients of an eight-port terahertz ...

Researchers used Bayesian optimization with Gaussian process surrogate modeling to design microfluidic deterministic lateral displacement chips that separate circulating tumor ...