Lauri Himanen

Humboldt-Universität zu Berlin — Germany

Materials Science · Physical Sciences

9h-index1.4kcitations27works0.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning in Materials Science(14), X-ray Diffraction in Crystallography(7), Catalysis and Oxidation Reactions(5), Scientific Computing and Data Management(4), Catalytic Processes in Materials Science(3)

Publications27 total

Towards a new era for open and FAIR data in catalysis research – A catalysis plugin for NOMAD
2026Open Access
FAIR-MOFs: Structure-centred synthesis inference from three-dimensional structures of metal-organic frameworks
2026Open Access
Excerpts of the discussion behind the NeXus-FAIRmat proposal
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Excerpts of the discussion behind the NeXus-FAIRmat proposal
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
FAIR-MOFs:A Comprehensive Database for Accelerating the Discovery and Synthesis of Metal-Organic Frameworks
2025
Towards a new era for open and FAIR data in catalysis research – A catalysis plugin for NOMAD
2025
Automated identification of bulk structures, two-dimensional materials, and interfaces using symmetry-based clustering
npj Computational Materials·2025· 1 citedOpen Access
Introducing a FAIR RDM infrastructure for electron microscopy and other materials science data
BIO Web of Conferences·2024Open Access
NOMAD: A distributed web-based platform for managingmaterials science research data
The Journal of Open Source Software·2023· 121 citedOpen Access
Updates to the DScribe library: New descriptors and derivatives
The Journal of Chemical Physics·2023· 71 cited
Updates to the DScribe Library: New Descriptors and Derivatives
arXiv (Cornell University)·2023Open Access
DScribe: Library of descriptors for machine learning in materials science
2022· 26 cited
Development of a FAIR Data Management Infrastructure
Microscopy and Microanalysis·2022· 2 cited
materialsvirtuallab/megnet: v1.2.3
Zenodo (CERN European Organization for Nuclear Research)·2020· 1 citedOpen Access
Materials Informatics - Augmenting Materials Research with Data-driven Design and Machine Learning
Aaltodoc (Aalto University)·2020
Data‐Driven Materials Science: Status, Challenges, and Perspectives
Advanced Science·2020· 113 citedOpen Access
5th Anniversary Article: Data‐Driven Materials Science: Status, Challenges, and Perspectives (Adv. Sci. 21/2019)
Advanced Science·2019· 3 citedOpen Access
DScribe: Library of descriptors for machine learning in materials science
Computer Physics Communications·2019· 750 citedOpen Access
Database-driven high-throughput study of coating materials for hybrid perovskites
New Journal of Physics·2019· 10 citedOpen Access
Database-driven high-throughput study for hybrid perovskite coating materials
arXiv (Cornell University)·2019Open Access
page 1 of 2Next →

Frequent Co-authors

Patrick Rinke(9), Markus Scheidgen(8), Adam S. Foster(6), J.A. Marquez(5), Sándor Brockhauser(5), Sherjeel Shabih(5), Markus Kühbach(5), Marc O. J. Jäger(4), Eiaki V. Morooka(4), Claudia Draxl(4), Christoph T. Koch(4), Hampus Näsström(3), Azimatu Seidu(3), Jingrui Li(3), José P. Márquez(3), Claudia Draxl(3), Heiko B. Weber(3), Filippo Federici Canova(2), Alvin Noe Ladines(2), Ádám Fekete(2)