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ORCIDAdam S. Foster
2020 – today
- 2022
[j5]Benjamin Alldritt
, Fedor Urtev, Niko Oinonen, Markus Aapro, Juho Kannala, Peter Liljeroth, Adam S. Foster:
Automated tip functionalization via machine learning in scanning probe microscopy. Comput. Phys. Commun. 273: 108258 (2022)- 2020
- [j4]Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, Adam S. Foster:
DScribe: Library of descriptors for machine learning in materials science. Comput. Phys. Commun. 247 (2020)
2010 – 2019
- 2019
- [i1]Lauri Himanen, Marc O. J. Jäger, Eiaki V. Morooka, Filippo Federici Canova, Yashasvi S. Ranawat, David Z. Gao, Patrick Rinke, Adam S. Foster:
DScribe: Library of Descriptors for Machine Learning in Materials Science. CoRR abs/1904.08875 (2019) - 2016
- [j3]Teemu Hynninen, Lauri Himanen, V. Parkkinen, T. Musso, Jukka Corander, Adam S. Foster:
An object oriented Python interface for atomistic simulations. Comput. Phys. Commun. 198: 230-237 (2016) - 2015
- [j2]John Tracey, Filippo Federici Canova, Olli Keisanen, David Z. Gao, Peter Spijker, Bernhard Reischl, Adam S. Foster:
Flexible and modular virtual scanning probe microscope. Comput. Phys. Commun. 196: 429-438 (2015) - 2012
- [j1]Teemu Hynninen, Cristiano L. Dias, A. Mkrtchyan, Vili Heinonen, Mikko Karttunen, Adam S. Foster, Tapio Ala-Nissila:
A molecular dynamics implementation of the 3D Mercedes-Benz water model. Comput. Phys. Commun. 183(2): 363-369 (2012)
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