Lauri Himanen
Titel
Citeret af
Citeret af
År
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
662020
Data‐Driven Materials Science: Status, Challenges, and Perspectives
L Himanen, A Geurts, AS Foster, P Rinke
Advanced Science 6 (21), 1900808, 2019
532019
Machine learning hydrogen adsorption on nanoclusters through structural descriptors
MOJ Jäger, EV Morooka, FF Canova, L Himanen, AS Foster
npj Computational Materials 4 (1), 1-8, 2018
422018
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), 204121, 2019
202019
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), 244122, 2018
52018
Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials
L Himanen, P Rinke, AS Foster
npj Computational Materials 4 (1), 1-10, 2018
52018
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
42016
Erratum: Data-Driven Materials Science: Status, Challenges, and Perspectives.
L Himanen, A Geurts, AS Foster, P Rinke
Advanced Science (Weinheim, Baden-wurttemberg, Germany) 7 (2), 1903667-1903667, 2020
12020
Materials Informatics-Augmenting Materials Research with Data-driven Design and Machine Learning
L Himanen
Aalto University, 2020
2020
5th Anniversary Article: Data‐Driven Materials Science: Status, Challenges, and Perspectives (Adv. Sci. 21/2019)
L Himanen, A Geurts, AS Foster, P Rinke
Advanced Science 6 (21), 1970125, 2019
2019
Data-Driven Materials Science
L Himanen, A Geurts, AS Foster, P Rinke
Wiley, 2019
2019
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
2019
Hybrid Quantum Mechanical and Molecular Mechanical Modeling in Ion-Water Solutions
L Himanen
2015
Kompleksiset verkostot: tapaustutkimus Helsingin ja Espoon seudun neurotieteilijöiden yhteistyöverkostosta
L Himanen
2012
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–14