computational fluid dynamics
PulseAugur coverage of computational fluid dynamics — every cluster mentioning computational fluid dynamics across labs, papers, and developer communities, ranked by signal.
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New framework enhances AI simulations with spatial, temporal awareness
Researchers have developed a new framework to enhance machine learning models used for physics simulations, specifically addressing limitations in current training paradigms. Their approach introduces multi-node predict…
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AI-accelerated CFD simulations adapted for IPU platform show performance gains
Researchers have adapted AI-accelerated computational fluid dynamics (CFD) simulations to run on Graphcore's Intelligence Processing Units (IPUs). The study focused on training machine learning models to predict simulat…
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Motorsport teams leverage AI to accelerate aerodynamic simulations
Artificial intelligence is emerging as a powerful new tool in motorsport, aiming to overcome the limitations and costs associated with traditional computational fluid dynamics (CFD) simulations. While CFD has advanced t…
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New benchmark suite evaluates LLMs on complex computational fluid dynamics tasks
Researchers have developed CFDLLMBench, a new benchmark suite designed to evaluate the capabilities of large language models in the field of Computational Fluid Dynamics (CFD). The benchmark consists of three parts: CFD…
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Faster by Design: Interactive Aerodynamics via Neural Surrogates Trained on Expert-Validated CFD
Researchers have developed a new graph-based neural operator called the Gauge-Invariant Spectral Transformer (GIST) designed to accelerate aerodynamic simulations for motorsport design. This model is trained on a high-f…
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AI research explores functorial formulations, causal learning, and adaptive model merging
Researchers have developed a multi-fidelity surrogate modeling framework to predict wind loads on container ships, combining empirical data with CFD simulations for improved accuracy and reduced computational cost. Anot…