Neural surrogates
PulseAugur coverage of Neural surrogates — every cluster mentioning Neural surrogates across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
New method optimizes neural surrogate training for PDEs using multi-fidelity data
A new research paper introduces a method for training neural surrogates for partial differential equations (PDEs) more efficiently. The approach leverages the tunable cost of PDE simulations by training on a mixture of …
-
Bayesian optimization's spatial bias explored in new arXiv paper
A new research paper published on arXiv explores the inherent spatial biases within Bayesian optimization, a method used for deciding where to explore in optimization tasks. The study reveals that Gaussian processes, co…
-
Research paper analyzes optimal input sizing for neural field forecasting
A new research paper explores the optimal input configuration for neural surrogates used to forecast physical fields. The study, which analyzes the trade-off between spatial context (window size) and temporal memory (hi…
-
Airfoil2Vec: Neural surrogate models accelerate aerodynamic predictions
Researchers have developed Airfoil2Vec, a novel neural surrogate model designed to predict airfoil aerodynamics with significant speedups over traditional computational fluid dynamics methods. This model utilizes spectr…
-
DDSNet neural network improves photonic crystal laser design
Researchers have developed DDSNet, a novel neural network designed to predict the properties of photonic crystal surface-emitting lasers. This network integrates translation-equivariant spectral filtering with a symmetr…
-
Label-free training method for neural surrogates in fluid dynamics
Researchers have developed a novel method for training neural surrogates for thermo-fluid field predictions, utilizing a label-free approach based on minimizing finite-volume method (FVM) residuals. This technique, appl…
-
Attention mechanism enhances neural surrogates for fluid dynamics simulations
Researchers have developed a novel neural surrogate model for simulating free-surface fluid dynamics using the Particle Finite Element Method (PFEM). This model employs attention mechanisms to effectively handle evolvin…