20112020

Research output per year

If you made any changes in Pure these will be visible here soon.

Fingerprint Dive into the research topics where Filippo Federici Canova is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 2 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

Automated structure discovery in atomic force microscopy

Alldritt, B., Hapala, H., Oinonen, N., Urtev, F., Krejci, O., Federici Canova, F., Kannala, J., Schulz, F., Liljeroth, P. & Foster, A., 26 Feb 2020, In : Science Advances. 6, 9, 10 p., eaay6913.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
  • 1 Citation (Scopus)
    17 Downloads (Pure)

    DScribe: Library of descriptors for machine learning in materials science

    Himanen, L., Jäger, M. O. J., Morooka, E. V., Federici Canova, F., Ranawat, Y. S., Gao, D. Z., Rinke, P. & Foster, A. S., 2019, In : Computer Physics Communications. 247, 12 p., 106949.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 16 Citations (Scopus)
    23 Downloads (Pure)

    Machine learning hydrogen adsorption on nanoclusters through structural descriptors

    Jäger, M. O. J., Morooka, E. V., Federici Canova, F., Himanen, L. & Foster, A. S., 1 Dec 2018, In : npj Computational Materials. 4, 1, p. 1-8 37.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 28 Citations (Scopus)
    124 Downloads (Pure)

    Competing Annulene and Radialene Structures in a Single Anti-Aromatic Molecule Studied by High-Resolution Atomic Force Microscopy

    Kawai, S., Takahashi, K., Ito, S., Pawlak, R., Meier, T., Spijker, P., Canova, F. F., Tracey, J., Nozaki, K., Foster, A. S. & Meyer, E., 22 Aug 2017, In : ACS Nano. 11, 8, p. 8122-8130 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  • 22 Citations (Scopus)

    Mixture of Clustered Bayesian Neural Networks for Modeling Friction Processes at the Nanoscale

    Zaidan, M. A., Federici Canova, F., Laurson, L. & Foster, A. S., Jan 2017, In : Journal of Chemical Theory and Computation. 13, 1, p. 3-8 6 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    5 Citations (Scopus)
    116 Downloads (Pure)

    Activities

    • 1 Organization of a workshop, panel, session or tutorial

    International Workshop on Machine Learning for Materials Science

    Patrick Rinke (Member), Milica Todorovic (Member), Adam Foster (Member), Filippo Federici Canova (Member)
    3 May 20184 May 2018

    Activity: Participating in or organising an event typesOrganization of a workshop, panel, session or tutorial