Daniil Boiko

Education:

2016 – 2022 specialist degree, Lomonosov Moscow State University, Moscow

2014 – 2016 high school, AESC MSU – Kolmogorov's boarding school , the department (faculty) of Moscow State University, Moscow

Research interests:

Machine learning in chemistry, mass-spectrometry, kinetics of chemical reactions, mechanisms of cross-coupling reactions

Publications:

  1. Kashin, A. S., Boiko, D. A. & Ananikov, V. P. Neural Network Analysis of Electron Microscopy Video Data Reveals the Temperature?Driven Microphase Dynamics in the Ions/Water System. Small 17, 2007726 (2021)
  2. Boiko, D. A., Pentsak, E. O., Cherepanova, V. A., Gordeev, E. G. & Ananikov, V. P. Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials. Chem. Sci. 12, 7428–7441 (2021)
  3. Burykina, J. V., Boiko, D. A., Ilyushenkova, V. V., Eremin, D. B. & Ananikov, V. P. Comprehensive Mass Spectrometric Mapping of Chemical Compounds for the Development of Algorithms for Machine Learning and Artificial Intelligence. Dokl. Phys. Chem. 492, 51–56 (2020)
  4. Eremin, D. B., Boiko, D. A., et al. Mechanistic Study of Pd/NHC?Catalyzed Sonogashira Reaction: Discovery of NHC?Ethynyl Coupling Process. Chem. A Eur. J. 26, 15672–15681 (2020)
  5. Boiko, D. A., Pentsak, E. O., Cherepanova, V. A. & Ananikov, V. P. Electron microscopy dataset for the recognition of nanoscale ordering effects and location of nanoparticles. Sci. Data 7, 101 (2020)
  6. Eremin, D. B., Boiko, D. A., et al. Ten-fold boost of catalytic performance in thiol–yne click reaction enabled by a palladium diketonate complex with a hexafluoroacetylacetonate ligand. Catal. Sci. Technol. 8, 3073– 3080 (2018)
  7. Prima, D.O., Madieva, M., Burykina, Ju.V., Minyaev, M.V., Boiko, D.A. & Ananikov, V. P. Evidence for"cocktail"-type catalysis in Buchwald–Hartwig reaction. A mechanistic study. Catal. Sci. Technol. ASAP (2021)

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