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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
Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials - Lauri Himanen, Patrick Rinke, and Adam S. Foster
Machine learning hydrogen adsorption on nanoclusters through structural descriptors - Marc Jäger, Eiaki Morooka, Filippo Federici Canova, and Adam Foster
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
Flexible and Modular virtual scanning probe microscope - John Tracey, Filippo Federici Canova, Olli Keisanen, David Z. Gao, Peter Spijker, Bernhard Reischl, Adam S. Foster
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
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
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
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
