Department of Applied Physics

Methods

Computational methods image.
  • DScribe: Library of Descriptors for Machine Learning in Materials Science - Lauri Himanen, Marc O Jäger, Eiaki V Morooka, Filippo Federici Canova, Yashasvi S Ranawat, David Z Gao, Patrick Rinke and Adam S Foster
    • Comp. Phys. Comm. 247 (2020) 106949 [pdf]
  • Predicting Atmospheric Particle Formation Days by Bayesian Classification of the Time Series Features - M. A. Zaidan, V. Haapasilta, R. Relan, H. Junninen, P. P. Aalto, M. Kulmala, L. Laurson and A. S. Foster 
    • Tellus B: Chemical & Physical Meteorology 70 (2018) 1530031 [pdf]
  • Exploring nonlinear associations between atmospheric new-particle formation and ambient variables: an information theoretic approach - Martha A. Zaidan, Ville Haapasilta, Rishi Relan, Pauli Paasonen, Veli-Matti Kerminen, Heikki Junninen, Markku Kulmala and Adam S. Foster 
    • Atmos. Chem. Phys. 18 (2018) 12699 [pdf]
  • Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials - Lauri Himanen, Patrick Rinke, and Adam S. Foster 
    • NPJ Computational Materials 4 (2018) 52 [pdf]
  • Machine learning hydrogen adsorption on nanoclusters through structural descriptors - Marc Jäger, Eiaki Morooka, Filippo Federici Canova, and Adam Foster 
    • NPJ Computational Materials 4 (2018) 37 [pdf]
  • Mixture of clustered Bayesian neural networks for modeling friction processes at the nanoscale - Martha A. Zaidan, Filippo F. Canova, Lasse Laurson and Adam S. Foster 
    • J. Chem. Theo. Comp. 13 (2017) 3 [pdf]
  • Limitations of reactive atomistic potentials in describing defect structures in oxides - T. Hynninen, T. Musso, and A. S. Foster 
    • Model. Simul. Mater. Sci. Eng. 24 (2016) 035022 [pdf]
  • An object oriented Python interface for atomistic simulations - T. Hynninen, L. Himanen, V. Parkkinen, T. Musso, J. Corander and A. S. Foster 
    • Comp. Phys. Comm. 198 (2016) 230 [pdf]
  • Flexible and Modular virtual scanning probe microscope - John Tracey, Filippo Federici Canova, Olli Keisanen, David Z. Gao, Peter Spijker, Bernhard Reischl, Adam S. Foster 
    • Comp. Phys. Comm. 196 (2015) 429 [pdf]
  • Computational Physics on Graphics Processing Units - Ari Harju, Topi Siro, Filippo Federici-Canova, Samuli Hakala and Teemu Rantalaiho 
    • Lecture Notes in Computer Science 7782 (2013) 3 [pdf]
  • Free energy approaches for modeling atomic force microscopy in liquids - Bernhard Reischl, Matthew Watkins and Adam S. Foster 
    • J. Chem. Theo. Comp. 9 (2013) 600 [pdf]
  • A molecular dynamics implementation of the 3D Mercedes-Benz water model - T. Hynninen, C. L. Dias, V. Heinonen, M. Karttunen, A. S. Foster and T. Ala-Nissila 
    • Comp. Phys. Comm. 183 (2012) 363 [pdf]
  • Hydrophobicity within the 3D Mercedes-Benz model: Potential of Mean Force - Cristiano L. Dias, Adam S. Foster, Teemu Hynninen, Tapio Ala-Nissila and Mikko Karttunen 
    • J. Chem. Phys. 134 (2011) 065106 [pdf]
  • First principles electron transport: finite-element implementation for nanostructures - P. Havu, V. Havu, M. J. Puska, M. H. Hakala, A. S. Foster and R. M. Nieminen 
    • J. Chem. Phys. 124 (2006) 054707 [pdf]
  • Towards an accurate description of the capillary force in nanoparticle-surface interactions - O. H. Pakarinen , A. S. Foster, M. Paajanen, T. Kalinainen, J. Katainen, I. Makkonen, J. Lahtinen and R. M. Nieminen 
    • Modelling Simul. Mater. Sci. 13 (2005) 1175 [pdf]
  • Role of Image Forces in NC-AFM of Ionic Surfaces - L. N. Kantorovich, A. S. Foster, A. L. Shluger and A. M. Stoneham 
    • Surface Sci. 445 (2000) 283 [pdf]
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