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Year | Number of Results |
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2018 | 1 |
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Page 1
CoolMomentum: a method for stochastic optimization by Langevin dynamics with simulated annealing.
Sci Rep. 2021 May 21;11(1):10705. doi: 10.1038/s41598-021-90144-3.
Sci Rep. 2021.
PMID: 34021212
Free PMC article.
Hybrid particle-field molecular dynamics under constant pressure.
Bore SL, Kolli HB, De Nicola A, Byshkin M, Kawakatsu T, Milano G, Cascella M.
Bore SL, et al. Among authors: byshkin m.
J Chem Phys. 2020 May 14;152(18):184908. doi: 10.1063/5.0007445.
J Chem Phys. 2020.
PMID: 32414244
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Patent citation network analysis: A perspective from descriptive statistics and ERGMs.
Chakraborty M, Byshkin M, Crestani F.
Chakraborty M, et al. Among authors: byshkin m.
PLoS One. 2020 Dec 3;15(12):e0241797. doi: 10.1371/journal.pone.0241797. eCollection 2020.
PLoS One. 2020.
PMID: 33270657
Free PMC article.
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Self-assembly of carbon nanotubes in polymer melts: simulation of structural and electrical behaviour by hybrid particle-field molecular dynamics.
Zhao Y, Byshkin M, Cong Y, Kawakatsu T, Guadagno L, De Nicola A, Yu N, Milano G, Dong B.
Zhao Y, et al. Among authors: byshkin m.
Nanoscale. 2016 Aug 25;8(34):15538-52. doi: 10.1039/c6nr03304k.
Nanoscale. 2016.
PMID: 27463779
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Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data.
Byshkin M, Stivala A, Mira A, Robins G, Lomi A.
Byshkin M, et al.
Sci Rep. 2018 Jul 31;8(1):11509. doi: 10.1038/s41598-018-29725-8.
Sci Rep. 2018.
PMID: 30065311
Free PMC article.
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Simulation of self-heating process on the nanoscale: a multiscale approach for molecular models of nanocomposite materials.
Donati G, De Nicola A, Munaò G, Byshkin M, Vertuccio L, Guadagno L, Le Goff R, Milano G.
Donati G, et al. Among authors: byshkin m.
Nanoscale Adv. 2020 May 18;2(8):3164-3180. doi: 10.1039/d0na00238k. eCollection 2020 Aug 11.
Nanoscale Adv. 2020.
PMID: 36134283
Free PMC article.
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