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https://github.com/Ahmed-A-A-Elhag/TransIP .
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##
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TransIP builds upon the following open-source projects:
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We thank them for making their work publicly available.
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## Citation
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If you use the code of this package or find this work useful, please cite:
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https://github.com/Ahmed-A-A-Elhag/TransIP .
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## FAIR resources
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TransIP builds upon the following open-source projects:
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We thank them for making their work publicly available.
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## Acknowledgements
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This research is partially supported by EPSRC Turing AI World-Leading Research Fellowship No. EP/X040062/1, EPSRC AI Hub on Mathematical Foundations of Intelligence: An “Erlangen Programme” for AI No. EP/Y028872/1. Further, this research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy (DOE) User Facility, using an AI4Sci@NERSC award (DDR-ERCAP 0034574)
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awarded to AM. S.M.B. acknowledges support from the Center for High Precision Patterning Science (CHiPPS), an Energy Frontier Research Center funded by the U.S. DOE, Office of Science,
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Basic Energy Sciences (BES). AR’s PhD is supported by the Agency for Science Technology and
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Research and the SABS R3 CDT program via the Engineering and Physical Sciences Research
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Council. AR also received compute resources from the DSO National Laboratories - AI Singapore
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(AISG) programme and the Lawrence Livermore National Laboratory. We would like to thank them
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for their resources, which played a significant role in this research. We would also like to thank
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Santiago Vargas, Chaitanya Joshi, and Chen Lin for their fruitful discussions
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## Citation
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If you use the code of this package or find this work useful, please cite:
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