Articles with public access mandates - Lauri HimanenLearn more
Available somewhere: 10
DScribe: Library of descriptors for machine learning in materials science
L Himanen, MOJ Jäger, EV Morooka, FF Canova, YS Ranawat, DZ Gao, ...
Computer Physics Communications 247, 106949, 2020
Mandates: European Commission
Data‐Driven Materials Science: Status, Challenges, and Perspectives
L Himanen, A Geurts, AS Foster, P Rinke
Advanced Science 6 (21), 1900808, 2019
Mandates: Academy of Finland, European Commission
Machine learning hydrogen adsorption on nanoclusters through structural descriptors
MOJ Jäger, EV Morooka, F Federici Canova, L Himanen, AS Foster
npj Computational Materials 4 (1), 37, 2018
Mandates: European Commission
Chemical diversity in molecular orbital energy predictions with kernel ridge regression
A Stuke, M Todorović, M Rupp, C Kunkel, K Ghosh, L Himanen, P Rinke
The Journal of chemical physics 150 (20), 2019
Mandates: Academy of Finland, European Commission
NOMAD: A distributed web-based platform for managing materials science research data
M Scheidgen, L Himanen, AN Ladines, D Sikter, M Nakhaee, Á Fekete, ...
Journal of Open Source Software 8 (90), 5388, 2023
Mandates: German Research Foundation, European Commission
Updates to the DScribe library: New descriptors and derivatives
J Laakso, L Himanen, H Homm, EV Morooka, MOJ Jäger, M Todorović, ...
The Journal of Chemical Physics 158 (23), 2023
Mandates: Academy of Finland, European Commission
Understanding doped perovskite ferroelectrics with defective dipole model
J Liu, L Jin, Z Jiang, L Liu, L Himanen, J Wei, N Zhang, D Wang, CL Jia
The Journal of chemical physics 149 (24), 2018
Mandates: National Natural Science Foundation of China
Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials
L Himanen, P Rinke, AS Foster
npj Computational Materials 4 (1), 52, 2018
Mandates: Academy of Finland, European Commission
Database-driven high-throughput study of coating materials for hybrid perovskites
A Seidu, L Himanen, J Li, P Rinke
New Journal of Physics 21 (8), 083018, 2019
Mandates: US Department of Energy, Academy of Finland, European Commission
An object oriented Python interface for atomistic simulations
T Hynninen, L Himanen, V Parkkinen, T Musso, J Corander, AS Foster
Computer Physics Communications 198, 230-237, 2016
Mandates: Academy of Finland
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