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README.md
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This Space runs **time-dependent DeepONet** checkpoints (s ∈ {1,4,8,16}) to generate **auto-regressive rollouts** of 2D velocity fields **(u, v)** around complex geometries (FPO / FlowBench).
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You have two runnable apps:
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- **`app_v1.py` (GT + metrics)**
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This Space runs **time-dependent DeepONet** checkpoints (s ∈ {1,4,8,16}) to generate **auto-regressive rollouts** of 2D velocity fields **(u, v)** around complex geometries (FPO / FlowBench).
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---
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## Associated Resources
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- **Paper (arXiv):** https://arxiv.org/abs/2512.04434
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- **Paper page on Hugging Face:** https://huggingface.co/papers/2512.04434
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- **Dataset (FlowBench on Hugging Face):** https://huggingface.co/datasets/BGLab/FlowBench
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- **Code (model implementation & training scripts):** https://github.com/baskargroup/TimeDependent-DeepONet
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- **Interactive demo (Hugging Face Space):** https://huggingface.co/spaces/arabeh/DeepONet-FPO-demo
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---
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You have two runnable apps:
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- **`app_v1.py` (GT + metrics)**
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