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Igor Musevic   Professor  Institute, Department or Faculty Head 
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Igor Musevic published an article in November 2018.
Top co-authors See all
Bogdan Štefane

60 shared publications

Faculty of Chemistry and Chemical Technology, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia

Theo Rasing

19 shared publications

University of Nijmegen

E. Zupanič

12 shared publications

Jozef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia

Marijan Maček

12 shared publications

University of Ljubljana

Uroš Tkalec

12 shared publications

Faculty of Natural Sciences and Mathematics, University of Maribor, 2000 Maribor, Slovenia

Publication Record
Distribution of Articles published per year 
(2001 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Liquid-crystalline half-Skyrmion lattice spotted by Kossel diagrams Jun-Ichi Fukuda, Andriy Nych, Uliana Ognysta, Slobodan Žumer... Published: 22 November 2018
Scientific Reports, doi: 10.1038/s41598-018-35514-0
DOI See at publisher website ABS Show/hide abstract
Skyrmions are swirl-like topological entities that have been shown to emerge in various condensed matter systems. Their identification has been carried out in different ways including scattering techniques and real-space observations. Here we show that Kossel diagrams can identify the formation of a hexagonal lattice of half-Skyrmions in a thin film of a chiral liquid crystal, in which case Kossel lines appear as hexagonally arranged circular arcs. Our experimental observations on a hexagonal lattice of half-Skyrmions and other defect structures resembling that of a bulk cholesteric blue phase are perfectly accounted for by numerical calculations and a theoretical argument attributing strong reflections yielding Kossel lines to guided mode resonances in the thin liquid crystal film. Our study demonstrates that a liquid crystal is a model system allowing the investigation of topological entities by various optical means, and also that Kossel techniques are applicable to the investigation of thin systems with non-trivial photonic band structures including topologically protected optical surface states.
Article 3 Reads 0 Citations Remote and autonomous temperature measurement based on 3D liquid crystal microlasers Gregor Pirnat, Matjaž Humar, Igor Muševič Published: 20 August 2018
Optics Express, doi: 10.1364/oe.26.022615
DOI See at publisher website
PREPRINT 0 Reads 0 Citations Point Defects, Chirality and Singularity Theory in Cholesteric Liquid Crystal Droplets Joseph Pollard, Gregor Posnjak, Gareth P. Alexander, Simon C... Published: 10 August 2018
Article 0 Reads 0 Citations Nanoparticles Can Wrap Epithelial Cell Membranes and Relocate Them Across the Epithelial Cell Layer Iztok Urbančič, Maja Garvas, Bostjan Kokot, Hana Majaron, Po... Published: 24 July 2018
Nano Letters, doi: 10.1021/acs.nanolett.8b02291
DOI See at publisher website
Article 0 Reads 0 Citations Geometric stabilisation of topological defects on micro-helices and grooved rods in nematic liquid crystals Maryam Nikkhou, Igor Musevic Published: 01 January 2018
Soft Matter, doi: 10.1039/c8sm01583j
DOI See at publisher website
Article 5 Reads 1 Citation Chemical Selectivity and Sensitivity of a 16-Channel Electronic Nose for Trace Vapour Detection Drago Strle, Bogdan Štefane, Mario Trifkovič, Marion Van Mid... Published: 08 December 2017
Sensors, doi: 10.3390/s17122845
DOI See at publisher website ABS Show/hide abstract
Good chemical selectivity of sensors for detecting vapour traces of targeted molecules is vital to reliable detection systems for explosives and other harmful materials. We present the design, construction and measurements of the electronic response of a 16 channel electronic nose based on 16 differential microcapacitors, which were surface-functionalized by different silanes. The e-nose detects less than 1 molecule of TNT out of 10+12 N2 molecules in a carrier gas in 1 s. Differently silanized sensors give different responses to different molecules. Electronic responses are presented for TNT, RDX, DNT, H2S, HCN, FeS, NH3, propane, methanol, acetone, ethanol, methane, toluene and water. We consider the number density of these molecules and find that silane surfaces show extreme affinity for attracting molecules of TNT, DNT and RDX. The probability to bind these molecules and form a surface-adsorbate is typically 10+7 times larger than the probability to bind water molecules, for example. We present a matrix of responses of differently functionalized microcapacitors and we propose that chemical selectivity of multichannel e-nose could be enhanced by using artificial intelligence deep learning methods.