activity
20082023
most citedSelf-passivating edge reconstructions of graphene

758 citations · 1.4k across the 11 of their papers we have counts for

collaborators

11 papers

cond-mat.mtrl-sci2023★ 1 cited

Knowledge Discovery from Atomic Structures using Feature Importances

Joakim Linja, Joonas Hämäläinen, Antti Pihlajamäki +4

Molecular-level understanding of the interactions between the constituents of an atomic structure is essential for designing novel materials in various applications. This need goes…

physics.comp-ph2022★ 3 cited

Orientation Adaptive Minimal Learning Machine: Application to Thiolate-Protected Gold Nanoclusters and Gold-Thiolate Rings

Antti Pihlajamäki, Sami Malola, Tommi Kärkkäinen +1

Machine learning (ML) force fields are one of the most common applications of ML methods in the field of physical and chemical science. In the optimal case, they are able to reach…

physics.atm-clus2018

From Molecular to Metallic Gold Nanoparticles: The Role of Nanocrystal Symmetry in the Crossover Region

Sami Malola, Sami Kaappa, Hannu Hakkinen

Bulk gold is a good metal, i.e., conductor of electricity and heat, due to its delocalized electron density that can respond to extremely small external perturbations such as elect…

physics.atm-clus2018★ 26 cited

Point Group Symmetry Analysis of the Electronic Structure of Bare and Protected Metal Nanocrystals

Sami Kaappa, Sami Malola, Hannu Häkkinen

The electronic structures of a variety of experimentally identified gold and silver nanoclusters from 20 to 246 atoms, either unprotected or protected by several types of ligands,…

physics.atm-clus2011★ 74 cited

Electronic Structure and Bonding of Icosahedral Core-Shell Gold-Silver Nanoalloy Clusters Au_(144-x)Ag_x(SR)_60

Sami Malola, Hannu Häkkinen

Atomically precise thiolate-stabilized gold nanoclusters are currently of interest for many cross-disciplinary applications in chemistry, physics and molecular biology. Very recent…

cond-mat.mtrl-sci2010★ 29 cited

Structural, chemical and dynamical trends in graphene grain boundaries

Sami Malola, Hannu Häkkinen, Pekka Koskinen

Grain boundaries are topological defects that often have a disordered character. Disorder implies that understanding general trends is more important than accurate investigations o…