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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

This repository contains the code for DISCO.

DISCO Overview DISCO uses a large hypernetwork (transformer) to process a short trajectory and generate the parameters of a much smaller operator network, which then predicts the next state through time integration.

Installation

With python 3.11.2.

pip install -r requirements.txt ...

Training the model

python train.py --yaml-config disco_pdebench.yaml

You'll need to download PDEBench or The Well datasets and add the paths in data_utils.py.

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DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

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