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Institution

Jožef Stefan Institute

FacilityLjubljana, Slovenia
About: Jožef Stefan Institute is a facility organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Liquid crystal & Dielectric. The organization has 3828 authors who have published 12614 publications receiving 291025 citations.


Papers
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Journal ArticleDOI
TL;DR: Detailed properties are presented such as the spectroscopy, formation, and decay dynamics of the N(2)(2+) K(-2) main and satellite states and the strong chemical shifts of double K holes on an oxygen atom in CO, CO2, and O2 molecules.
Abstract: The formation of hollow molecules (with a completely empty K shell in one constituent atom) through single-photon core double ionization has been demonstrated using a sensitive magnetic bottle experimental technique combined with synchrotron radiation. Detailed properties are presented such as the spectroscopy, formation, and decay dynamics of the N(2)(2+) K(-2) main and satellite states and the strong chemical shifts of double K holes on an oxygen atom in CO, CO2, and O2 molecules.

79 citations

Proceedings ArticleDOI
03 Dec 2003
TL;DR: Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems that offers more insight in variance of obtained model response, as well as fewer parameters to determine than other models.
Abstract: This paper describes model-based predictive control based on Gaussian processes. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. It offers more insight in variance of obtained model response, as well as fewer parameters to determine than other models. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack of data or its complexity, by indicating the higher variance around the predicted mean. This property is used in predictive control, where optimisation of control signal takes the variance information into account. The predictive control principle is demonstrated on a simulated example of nonlinear system.

79 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a highly radiation-tolerant n-in-p silicon microstrip sensor for very high radiation environments such as in the Super Large Hadron Collider.
Abstract: We have developed a novel and highly radiation-tolerant n-in-p silicon microstrip sensor for very high radiation environments such as in the Super Large Hadron Collider. The sensors are designed for a fluence of 1×1015 neq/cm2 and are fabricated from p-type, FZ, 6 in. (150 mm) wafers onto which we lay out a single 9.75 cm×9.75 cm large-area sensor and several 1 cm×1 cm miniature sensors with various n-strip isolation structures. By evaluating the sensors both pre- and post-irradiation by protons and neutrons, we find that the full depletion voltage evolves to approximately 800 V and that the n-strip isolation depends on the p+ concentration. In addition, we characterize the interstrip resistance, interstrip capacitance and the punch-through-protection (PTP) voltage. The first fabrication batch allowed us to identify the weak spots in the PTP and the stereo strip layouts. By understanding the source of the weakness, the mask was modified accordingly. After modification, the follow-up fabrication batches and the latest fabrication of about 30 main sensors and associated miniature sensors have shown good performance, with no sign of microdischarge up to 1000 V.

79 citations

Journal ArticleDOI
TL;DR: In this article, the effect of oleic acid concentration on physicochemical properties of solvothermally derived cobalt ferrite nanoparticles (CFO NPs) was investigated.
Abstract: We have investigated the effect of oleic acid concentration on the physicochemical properties of solvothermally derived cobalt ferrite nanoparticles (CFO NPs). Without the oleic acid, agglomerated nanoplatelets with a crystallite size of about 19 nm were obtained, according to X-ray diffraction (XRD) and transmission electron microscopy (TEM). However, the addition of oleic acid decreases the size of the CFO NPs and at critical concentration, which was determined to be 0.25 M, well-dispersed, nonagglomerated spherical particles of about 6 nm were obtained. A further increase in the oleic acid concentration affected the particle size only slightly, with a relatively constant surface coverage of the oleic acid ligand. The results of our study indicate that particle-size control was achieved by bridging bidentate interactions between the oleic acid molecules and the metal atoms on the surface of the NPs, as determined by Fourier transform infrared spectra. These interactions affected the surface strain of NP...

79 citations

Journal ArticleDOI
TL;DR: In this paper, the coherent twin boundary in BaTiO3 was investigated using high-resolution transmission electron microscopy and spatially resolved electron-energy-loss spectroscopy (EELS).
Abstract: The coherent (111) twin boundary in BaTiO3 has been investigated using quantitative high-resolution transmission electron microscopy and spatially resolved electron-energy-loss spectroscopy (EELS). Lattice images under different defocusing conditions were obtained and compared with simulated images for different structural models. An excellent match between calculated and observed images was obtained only for the model where the Ba-O3 plane constitutes the twin boundary. The oxidation state of Ti at twin boundaries was interrogated by studying the near-edge structure of the L23 ionization edge of Ti using spatially resolved EELS. The difference between spectra taken from the bulk and those including the boundary indicates the presence of Ti in a reduced oxidation state at the boundary. The charge is compensated by oxygen vacancies Vo in the twin plane, which is therefore composed of Ba-O3-x[Vo]x instead of Ba-O3.

79 citations


Authors

Showing all 3879 results

NameH-indexPapersCitations
Vladimir Cindro129115782000
Igor Mandić128106579498
Jure Leskovec12747389014
Matej Orešič8235226830
P. Križan7874926408
Jose Miguel Miranda7633618080
Vito Turk7427123205
Andrii Tykhonov7327024864
Masashi Yokoyama7331018817
Kostya Ostrikov7276321442
M. Starič7153019136
Boris Turk6723127006
Bostjan Kobe6627917592
Jure Zupan6122812054
Mario Sannino6028117144
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202331
202268
2021755
2020770
2019653
2018576