pde-control
pde-controller
Autoformalization and Reasoning for PDE Control
This dataset is used to train PDE-Controller (https://pde-controller.github.io/), a framework that enables large language models (LLMs) to control systems governed by partial differential equations (PDEs).
By training LLMs on this dataset, we can transform informal natural language instructions into formal specifications, and then execute reasoning and planning steps to improve the utility of PDE control.
By bridging the gap between… See the full description on the dataset page: https://huggingface.co/datasets/delta-lab-ai/pde-controller.PDEControl_DPC
PDE Control — TI-DeepONet Training Datasets
Simulation datasets for "Learning to Control PDEs with Differentiable Predictive Control
and Time-Integrated Neural Operators".
📄 Paper: arXiv:2511.08992
💻 Code: github.com/Centrum-IntelliPhysics/PDEControl_DPC
These are the trajectory datasets used to train the TI-DeepONet surrogates. Each file
holds 3000 controlled trajectories generated by a classical numerical solver under randomly
sampled control sequences.
You may not need… See the full description on the dataset page: https://huggingface.co/datasets/Centrum-IntelliPhysics/PDEControl_DPC.PDEControlBench