@misc{https://doi.org/10.4121/e77cddf1-7ffc-4cbb-a3c9-bf8adc352192.v1,
  doi = {10.4121/e77cddf1-7ffc-4cbb-a3c9-bf8adc352192.v1},
  url = {},
  author = {Kalikadien, Adarsh V. and Pedrazzi, Francesco and Valsecchi, Cecile and Lefort, Laurent and Pidko, Evgeny},
  keywords = {Catalysis, Data Science, High-throughput experimentation, Machine Learning, Organometallics},
  title = {Data underlying the chapter: Machine-Learning-Guided Optimization of Phosphine-based Ligands for Nickel-Catalyzed Addition of Arylboronic Acids to Nitriles},
  publisher = {4TU.ResearchData},
  year = {2025},
  copyright = {CC0},
}