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Karol Kalna

Researcher at Swansea University

Publications -  196
Citations -  1790

Karol Kalna is an academic researcher from Swansea University. The author has contributed to research in topics: Monte Carlo method & MOSFET. The author has an hindex of 20, co-authored 192 publications receiving 1507 citations. Previous affiliations of Karol Kalna include Slovak Academy of Sciences & University of Santiago de Compostela.

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Monte Carlo simulations of mobility in doped GaAs using self-consistent Fermi–Dirac statistics

TL;DR: In this article, changes are made to equations (21-24), (26), (27) and (30) as detailed in the accompanying PDF file, as well as the corresponding equations.
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Impact of Body-Thickness-Dependent Band Structure on Scaling of Double-Gate MOSFETs: A DFT/NEGF Study

TL;DR: In this article, thickness-dependent electron effective masses have been used to simulate I D-VG characteristics of scaled, sub-10 nm double-gate (DG) MOSFETs and compare them with the results obtained using bulk masses.
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Metal Grain Granularity Study on a Gate-All-Around Nanowire FET

TL;DR: In this article, the impact of the metal grain granularity (MGG) variations on subthreshold and ON-current of a 22-nm gate length Si gate-all-around (GAA) nanowire (NW) field effect transistor (FET) is analyzed by assessing five figures of merit: threshold voltage ( ${V}_{T}$ ), OFF-current ( ${I}_{ \mathrm{\scriptscriptstyle OFF}}$ ), sub-threshold slope (SS) and drain-induced-barrier-lowering at low ({V
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Study of Metal-Gate Work-Function Variation Using Voronoi Cells: Comparison of Rayleigh and Gamma Distributions

TL;DR: It is demonstrated, via validation to experimental data for TiN and Ru, that the grains that appear in the metal gate-stacks of nanoscale CMOS devices can be characterized via a two-parameter Gamma distribution.
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3-D Finite Element Monte Carlo Simulations of Scaled Si SOI FinFET With Different Cross Sections

TL;DR: In this paper, the authors compared the 3D nonequilibrium Green's functions (NEGF) and 3D finite element Monte Carlo (MC) simulations with 2-D Schrodinger-based quantum corrections.