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Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors

S Tan - arXiv preprint arXiv:2501.14813, 2025 - arxiv.org

… aligned CNT networks and used simulation-based inference to extract key parameters … We show that simulation-based inference can be a powerful tool for building models …

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BibTeX

@misc{tan2025dissertationmachinelearningmaterials,
      title={Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors}, 
      author={Shulin Tan},
      year={2025},
      eprint={2501.14813},
      archivePrefix={arXiv},
      primaryClass={physics.app-ph},
      url={https//arxiv.org/abs/2501.14813}, 
}

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