Institution
Jožef Stefan Institute
Facility•Ljubljana, 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 published on a yearly basis
Papers
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TL;DR: Diluted magnetic semiconductors with a Curie temperature exceeding 300 K are promising candidates for spintronic devices and spin-based electronic technologies.
Abstract: Diluted magnetic semiconductors with a Curie temperature exceeding 300 K are promising candidates for spintronic devices and spin-based electronic technologies We review recent achievements in the field of one of them: Co-doped ZnO at the nanoparticulate scale
124 citations
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TL;DR: The AcerMC Monte Carlo Event Generator as discussed by the authors is dedicated for the generation of Standard Model background processes at pp LHC collisions, which is based on the multi-channel self-optimizing approach as proposed in NEXTCALIBUR event generator.
124 citations
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TL;DR: In this paper, a simple but effective "on water" bromination of ketones with an aqueous H2O2-HBr system is described, which is characterised by the use of inexpensive reagents, a lower impact on the environment and the absence of organic waste that make it a good alternative to existing Bromination methods.
124 citations
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TL;DR: A new methodology for learning and adaption of manipulation skills that involve physical contact with the environment, based on dynamic movement primitives and quaternion representation of orientation, which provide a mathematical machinery for efficient and stable adaptation.
Abstract: We propose a new methodology for learning and adaption of manipulation skills that involve physical contact with the environment. Pure position control is unsuitable for such tasks because even small errors in the desired trajectory can cause significant deviations from the desired forces and torques. The proposed algorithm takes a reference Cartesian trajectory and force/torque profile as input and adapts the movement so that the resulting forces and torques match the reference profiles. The learning algorithm is based on dynamic movement primitives and quaternion representation of orientation, which provide a mathematical machinery for efficient and stable adaptation. Experimentally we show that the robot's performance can be significantly improved within a few iteration steps, compensating for vision and other errors that might arise during the execution of the task. We also show that our methodology is suitable both for robots with admittance and for robots with impedance control.
124 citations
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TL;DR: In this paper, low-density foam glasses from cathode-ray-tube panel glass using carbon and MnO 2 as the foaming agents were prepared using fine glass powder.
124 citations
Authors
Showing all 3879 results
Name | H-index | Papers | Citations |
---|---|---|---|
Vladimir Cindro | 129 | 1157 | 82000 |
Igor Mandić | 128 | 1065 | 79498 |
Jure Leskovec | 127 | 473 | 89014 |
Matej Orešič | 82 | 352 | 26830 |
P. Križan | 78 | 749 | 26408 |
Jose Miguel Miranda | 76 | 336 | 18080 |
Vito Turk | 74 | 271 | 23205 |
Andrii Tykhonov | 73 | 270 | 24864 |
Masashi Yokoyama | 73 | 310 | 18817 |
Kostya Ostrikov | 72 | 763 | 21442 |
M. Starič | 71 | 530 | 19136 |
Boris Turk | 67 | 231 | 27006 |
Bostjan Kobe | 66 | 279 | 17592 |
Jure Zupan | 61 | 228 | 12054 |
Mario Sannino | 60 | 281 | 17144 |