activity
20122021
most citedThermal conductivity decomposition in two-dimensional materials: Application to graphene

183 citations · 420 across the 11 of their papers we have counts for

collaborators
Showing cond-mat.mes-hallShow all

9 papers · 1 filter

cond-mat.mes-hall2021★ 19 cited

Electronic Characterization of a Charge-Transfer Complex Monolayer on Graphene

Avijit Kumar, Kaustuv Banerjee, Mikko M. Ervasti +5

Organic charge-transfer complexes (CTCs) formed by strong electron acceptor and strong electron donor molecules are known to exhibit exotic effects such as superconductivity and ch…

cond-mat.mes-hall2017★ 44 cited

Bimodal grain-size scaling of thermal transport in polycrystalline graphene from large-scale molecular dynamics simulations

Zheyong Fan, Petri Hirvonen, Luiz Pereira +5

Grain boundaries in graphene are inherent in wafer-scale samples prepared by chemical vapor deposition. They can strongly influence the mechanical properties and electronic and hea…

cond-mat.mes-hall2016★ 183 cited

Thermal conductivity decomposition in two-dimensional materials: Application to graphene

Zheyong Fan, Luiz Felipe C. Pereira, Petri Hirvonen +5

Two-dimensional materials have unusual phonon structures due to the presence of flexural (out-of-plane) modes. Although molecular dynamics simulations have been extensively used to…

cond-mat.mes-hall2016★ 15 cited

Single- and many-particle description of scanning tunneling spectroscopy

Mikko M. Ervasti, Fabian Schulz, Peter Liljeroth +1

Scanning tunneling spectroscopy measures how a single electron with definite energy propagates between a sample surface and the tip of a scanning tunneling microscope. In the simpl…

cond-mat.mes-hall2016★ 87 cited

Multiscale modeling of polycrystalline graphene: A comparison of structure and defect energies of realistic samples from phase field crystal models

Petri Hirvonen, Mikko M. Ervasti, Zheyong Fan +7

We extend the phase field crystal (PFC) framework to quantitative modeling of polycrystalline graphene. PFC modeling is a powerful multiscale method for finding the ground state co…

cond-mat.mes-hall2015★ 27 cited

Silicon and silicon-nitrogen impurities in graphene: structure, energetics and effects on electronic transport

Mikko M. Ervasti, Zheyong Fan, Andreas Uppstu +2

We theoretically study the atomic structure and energetics of silicon and silicon-nitrogen impurities in graphene. Using density-functional theory, we get insight into the atomic s…

cond-mat.mes-hall2015★ 18 cited

Scaling behavior of spin transport in hydrogenated graphene

M. R. Thomsen, M. Ervasti, A. Harju +1

We calculate the spin transport of hydrogenated graphene using the Landauer-Büttiker formalism with a spin-dependent tight-binding Hamiltonian. The advantages of using this method…

cond-mat.mes-hall2012★ 6 cited

Scaling in the correlation energies of two-dimensional artificial atoms

Alexander Odriazola, Mikko M Ervasti, Ilja Makkonen +4

We find an unexpected scaling in the correlation energy of artificial atoms, i.e., harmonically confined two-dimensional quantum dots. The scaling relation is found through extensi…

cond-mat.mes-hall2012★ 6 cited

Exchange-correlation potentials for inhomogeneous electron systems in two dimensions from exact diagonalization: comparison with the local-spin-density approximation

Ilja Makkonen, Mikko M. Ervasti, Ville Kauppila +1

We consider electronic exchange and correlation effects in density-functional calculations of two-dimensional systems. Starting from wave function calculations of total energies an…