@article{universalphysicstransformers,
  title = {Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators},
  author = {Benedikt Alkin and Andreas Fürst and Simon Schmid and Lukas Gruber and Markus Holzleitner and Johannes Brandstetter},
  year = {2024},
  eprint = {2402.12365},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2402.12365v5},
}