Releases first open high-fidelity CFD dataset of 1800 samples from 180 variants of NASA high-lift CRM at 10 angles of attack using GPU-accelerated wall-modeled LES.
Domino: A decomposable multi-scale iterative neural operator for modeling large scale engineering simulations
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ShardTensor is a domain-parallelism system for SciML that enables flexible scaling of extreme-resolution spatial datasets by removing the constraint of batch size one per device.
Flow-Direct constructs a reusable non-parametric guidance field from the log-density ratio of base and target distributions using all accumulated reward samples for feedback-efficient guidance in flow models.
AeTHERON achieves mean extrapolation MAE of 0.168 while qualitatively capturing vortex topology on unseen timesteps of flapping flexible caudal fin FSI simulations.
LoRA adapters enable a 61.47M-parameter aerodynamics Transformer pretrained on four vehicle families to adapt to a held-out fifth family with 20 samples, reaching R²=0.85 and outperforming full fine-tuning and from-scratch training with 3x more data.
GeoTransolver applies geometry-aware operator learning and low-rank attention to predict high-fidelity crash dynamics on bumper and full-vehicle datasets, with one-shot temporal prediction achieving state-of-the-art accuracy and reduced overhead.
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