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Institution

Brno University of Technology

EducationBrno, Czechia
About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Fracture mechanics & Filter (video). The organization has 6339 authors who have published 15226 publications receiving 194088 citations. The organization is also known as: Vysoké učení technické v Brně & BUT.


Papers
More filters
15 Sep 2005
TL;DR: In this paper, the authors transform the classical 2nd-order filter into the current mode structure containing the CDTA (Current-Differencing Transconductance Amplifier) active elements, which can be combined to implement transfer functions with various transfer zeros.
Abstract: Transformation of the classical KHN (Kerwin-Huelsman-Newcomb) 2nd-order filter into the current mode structure containing the CDTA (Current-Differencing Transconductance Amplifier) active elements is described. The resulting structure consists of three CDTAs and two grounded capacitors. The proposed filter has a low-impedance current input and three current outputs, realizing three basic transfer functions (lowpass, highpass, and bandpass), which can easily be combined to implement transfer functions with various transfer zeros.

48 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an assessment of a multi-method approach based on ion beam analysis to obtain high-resolution depth profiles of the total chemical composition of complex alloy systems.

48 citations

Journal ArticleDOI
TL;DR: This material is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form.
Abstract: The influence of Co and Cu doping on Ni-Mn-Ga Heusler alloy is investigated using the first-principles exact muffin-tin orbital method in combination with the coherent-potential approximation. Single-element doping and simultaneous doping by both elements are investigated in Ni${}_{50\ensuremath{-}x}$Co${}_{x}$Mn${}_{25\ensuremath{-}y}$Ga${}_{25\ensuremath{-}z}$Cu${}_{y+z}$ alloys, with dopant concentrations $x,\phantom{\rule{0.28em}{0ex}}y$, and $z$ up to 7.5 at. %. Doping with Co in the Ni sublattice decreases the ${(c/a)}_{\text{NM}}$ ratio of the nonmodulated (NM) martensite, but it simultaneously increases the cubic phase stability with respect to the NM phase. Doping with Cu in the Mn or in Ga sublattices does not change the ${(c/a)}_{\text{NM}}$ ratio significantly and it decreases the cubic phase stability. For simultaneous doping by Co in the Ni sublattice and Cu in the Mn or Ga sublattices, the effects of the individual dopants are independent and about the same as for the single-element doping. Thus, the ${(c/a)}_{\text{NM}}$ ratio can be adjusted by Co doping while the phase stability can be balanced by Cu doping, resulting in stable martensite with a reduced ${(c/a)}_{\text{NM}}$. The local stability of the cubic phase with respect to the tetragonal deformation can be understood on the basis of a density-of-states analysis.

48 citations

Proceedings ArticleDOI
14 Jun 2017
TL;DR: A uniform and efficient framework for checking the satisfiability of a large class of string constraints based on the observation that both satisfiability and unsatisfiability of common constraints can be demonstrated through witnesses with simple patterns is described.
Abstract: We describe a uniform and efficient framework for checking the satisfiability of a large class of string constraints. The framework is based on the observation that both satisfiability and unsatisfiability of common constraints can be demonstrated through witnesses with simple patterns. These patterns are captured using flat automata each of which consists of a sequence of simple loops. We build a Counter-Example Guided Abstraction Refinement (CEGAR) framework which contains both an under- and an over-approximation module. The flow of information between the modules allows to increase the precision in an automatic manner. We have implemented the framework as a tool and performed extensive experimentation that demonstrates both the generality and efficiency of our method.

48 citations


Authors

Showing all 6383 results

NameH-indexPapersCitations
Georg Kresse111430244729
Patrik Schmuki10976352669
Michael Schmid8871530874
Robert M. Malina8869138277
Jiří Jaromír Klemeš6456514892
Alessandro Piccolo6228414332
René Kizek6167216554
George Danezis5920911516
Stevo Stević583749832
Edvin Lundgren5728610158
Franz Halberg5575015400
Vojtech Adam5561114442
Lukas Burget5325221375
Jan Cermak532389563
Hynek Hermansky5131714372
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
2022106
20211,053
20201,010
20191,214
20181,131