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Igor Musevic   Professor  Institute, Department or Faculty Head 
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Igor Musevic published an article in March 2019.
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

16 shared publications

University of Nijmegen

Erik Zupanič

13 shared publications

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

Uroš Tkalec

9 shared publications

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

Drago Strle

8 shared publications

Faculty of Electrical Engineering, University of Ljubljana, EE dep., Tržaška 25, 1000 Ljubljana, 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 Interactions, topology and photonic properties of liquid crystal colloids and dispersions Igor Muševič Published: 28 March 2019
The European Physical Journal Special Topics, doi: 10.1140/epjst/e2019-800107-y
DOI See at publisher website
Article 4 Reads 1 Citation 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 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 0 Reads 4 Citations Nematic Liquid-Crystal Colloids Igor Muševič Published: 25 December 2017
Materials, doi: 10.3390/ma11010024
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
This article provides a concise review of a new state of colloidal matter called nematic liquid-crystal colloids. These colloids are obtained by dispersing microparticles of different shapes in a nematic liquid crystal that acts as a solvent for the dispersed particles. The microparticles induce a local deformation of the liquid crystal, which then generates topological defects and long-range forces between the neighboring particles. The colloidal forces in nematic colloids are much stronger than the forces in ordinary colloids in isotropic solvents, exceeding thousands of kBT per micrometer-sized particle. Of special interest are the topological defects in nematic colloids, which appear in many fascinating forms, such as singular points, closed loops, multitudes of interlinked and knotted loops or soliton-like structures. The richness of the topological phenomena and the possibility to design and control topological defects with laser tweezers make colloids in nematic liquid crystals an excellent playground for testing the basic theorems of topology.
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 PubMed View at PubMed 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.