ord-data

DOIs covered by ORD

• Mdluli, V. et al. High-throughput Synthesis and Screening of Iridium(III) Photocatalysts for the Fast and Chemoselective Dehalogenation of Aryl Bromides. ACS Catalysis 10, 6977–6987 (2020). doi: 10.1021/acscatal.0c02247
  • ord_dataset-b440f8c90b6343189093770060fc4098
• Kutchukian, P. S. et al. Chemistry informer libraries: a chemoinformatics enabled approach to evaluate and advance synthetic methods. Chem. Sci. 7, 2604–2613 (2016). doi: 10.1039/c5sc04751j
  • ord_dataset-d319c2a22ecf4ce59db1a18ae71d529c
• Buitrago Santanilla, A. et al. Nanomole-scale high-throughput chemistry for the synthesis of complex molecules. Science 347, 49–53 (2014). doi: 10.1126/science.1259203
  • ord_dataset-7d8f5fd922d4497d91cb81489b052746
• Perera, D. et al. A platform for automated nanomole-scale reaction screening and micromole-scale synthesis in flow. Science 359, 429–434 (2018). doi: 10.1126/science.aap9112
  • ord_dataset-33320f511ffb4f89905448c7a5153111
• Ahneman, D. T., Estrada, J. G., Lin, S., Dreher, S. D. & Doyle, A. G. Predicting reaction performance in C–N cross-coupling using machine learning. Science 360, 186–190 (2018). doi: 10.1126/science.aar5169
  • ord_dataset-46ff9a32d9e04016b9380b1b1ef949c3