SciML
PulseAugur coverage of SciML — every cluster mentioning SciML across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Withdrawn research paper details physics-informed neural network for wave propagation
A research paper, since withdrawn, explored the use of physics-informed neural networks (PINNs) to model coupled electro- and elastodynamic wave propagation. The study applied a feedforward architecture to solve a one-d…
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New PA-SciML workflow verifies physics compliance in agentic SciML discovery
Researchers have introduced Physics-Audited Agentic SciML (PA-SciML), a new workflow designed to enhance the reliability of scientific machine learning (SciML) models discovered by large language model (LLM) agents. Thi…
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Graph Neural Networks accelerate physics simulations for magnets and fracture mechanics
Researchers have developed novel graph neural network (GNN) frameworks to accelerate complex physics simulations. One approach, SuperCond-GNN, uses GNNs as a surrogate model to predict voltage distribution in supercondu…
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New Study Reveals Three-Regime Structure in SciML Models
Researchers have identified a consistent three-regime structure in scientific machine learning (SciML) models, regardless of the specific model, constraint enforcement, or optimizer used. Optimization effectiveness vari…
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AI emulators show promise for improving atmospheric model accuracy
Researchers have explored the use of Scientific Machine Learning (SciML) emulators to enhance the representation of aerosol processes in global atmospheric models. Their study focused on emulating aerosol microphysics w…