Research output per year
Research output per year
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Dive into the research topics where Claudio Zeni is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Data-driven simulation and characterisation of gold nanoparticles melting
Zeni, C., Rossi, K., Pavloudis, T., Kioseoglou, J., de Gironcoli, S., Palmer, R. E. & Baletto, F., 7 Sept 2021, (Accepted/In press) In: Nature Communications.Research output: Contribution to journal › Article › peer-review
Open AccessFile38 Downloads (Pure) -
On machine learning force fields for metallic nanoparticles
Zeni, C., Rossi, K., Glielmo, A. & Baletto, F., 12 Sept 2019, (E-pub ahead of print) In: Advances in Physics: X. 4, 1, 32 p., 1654919.Research output: Contribution to journal › Review article › peer-review
Open AccessFile33 Citations (Scopus)217 Downloads (Pure) -
Building machine learning force fields for nanoclusters
Zeni, C., Rossi, K., Glielmo, A., Fekete, A., Gaston, N., Baletto, F. C. M. & De Vita, A., 11 Jun 2018, (E-pub ahead of print) In: Journal of Chemical Physics. 148, 24, 9 p., 241739.Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Citations (Scopus)348 Downloads (Pure) -
Efficient nonparametric n-body force fields from machine learning
Glielmo, A., Zeni, C. & De Vita, A., May 2018, In: Physical Review B. 97, 184307, p. 184307-1-184307-12Research output: Contribution to journal › Article › peer-review
Open AccessFile114 Citations (Scopus)163 Downloads (Pure) -
Atomistic fracture modelling by inference-boosted first-principles techniques
Glielmo, A., Zeni, C., Caccin, M. & De Vita, A., 1 Jan 2017, p. 350-351. 2 p.Research output: Contribution to conference types › Paper › peer-review
Thesis
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Gaussian process regression for nonparametric force fields
Author: Zeni, C., 1 Jun 2020Supervisor: Baletto, F. (Supervisor), Bonini, N. (Supervisor) & De Vita, A. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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