-
Molecule graph reconstruction from Atomic Force Microscopy images with machine learning - Niko Oinonen, Lauri Kurki, Alexander Ilin and Adam S. Foster
-
MRS Bulletin (2022) https://doi.org/10.1557/s43577-022-00324-3 [pdf]
-
- Efficient machine-learning-aided screening of hydrogen adsorption on bimetallic nanoclusters - Marc Jäger, Yashasvi S. Ranawat, Filippo Federici Canova, Eiaki Morooka and Adam Foster
- ACS Combinatorial Science 22 (2020) 768 [pdf]
- 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]