activity
19952025
most citedUnderstanding adsorption of hydrogen atoms on graphene

332 citations · 700 across the 20 of their papers we have counts for

collaborators

21 papers

cond-mat.mtrl-sci2025

Exceptional thermoelectric properties in NaTlSb enabled by quasi-1D band structure

Øven A. Grimenes, Ole M. Løvvik, Kristian Berland

Materials with reduced dimensionality offer beneficial density-of-states (DOS) profiles for thermoelectric energy conversion, but can be impractical in realistic devices. Encouragi…

cond-mat.mtrl-sci2024★ 6 cited

Thermoelectric transport of strained CsKSb: The role of electron velocities and scattering within extended Fermi surfaces

Øven A. Grimenes, G. Jeffrey Snyder, Ole M. Løvvik +1

In this first-principles study, we investigated the thermoelectric properties of the full-Heusler compound CsKSb at different compressive strains. This material exhibits a vale…

cond-mat.mtrl-sci2023★ 2 cited

Lattice Thermal Conductivity from First Principles and Active Learning with Gaussian Process Regression

Rasmus Tranås, Ole Martin Løvvik, Kristian Berland

The lattice thermal conductivity () is a key materials property in power electronics, thermal barriers, and thermoelectric devices. Identifying a wide pool of compounds w…

cond-mat.mtrl-sci2021

High Entropy Alloy CrFeNiCoCu sputtered films

J. Mayandi, M. Schrade, P. Vajeeston +10

High entropy alloy(HEA) films of CrFeCoNiCu were prepared by sputtering, their structure was characterized, and their electric properties measured by temperature dependent Hall and…

cond-mat.mtrl-sci2021

Discarded gems: Thermoelectric performance of materials with band gap emerging at the hybrid-functional level

Kristian Berland, Ole Martin Løvvik, Rasmus Tranås

A finite electronic band gap is a standard filter in high-throughput screening of materials using density functional theory (DFT). However, because of the systematic underestimatio…

cond-mat.mtrl-sci2021

Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis

Rasmus Tranås, Ole Martin Løvvik, Oliver Tomic +1

Low lattice thermal conductivity is essential for high thermoelectric performance of a material. Lattice thermal conductivity is often computed using density functional theory (DFT…