scispace - formally typeset
Search or ask a question
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
Journal ArticleDOI
TL;DR: Investigation of the thermophilic bacterium Schelegelella thermodepolymerans found a unique putative xyl operon consisting of genes responsible for xylose utilization and also for its transport was identified, which is a unique feature among PHA producers.

43 citations

Journal ArticleDOI
TL;DR: The experimental results show that both friction and wear of artificial joints fluctuate with the concentration level of biological components, and that the biological components of synovial fluid and their concentrations should be considered in order to select an artificial hip joint to best suit that patient.

43 citations

Journal ArticleDOI
TL;DR: The use of fly ash as an additive into concrete is quite old, nevertheless this component offers a lot of new possibilities today too as mentioned in this paper and is used in the concrete production too.

43 citations

Journal ArticleDOI
TL;DR: In this article, the preparation of the TiO 2 thin films from alkoxide solutions containing polyethylene glycol (PEG) as an anticracking agent by the sol-gel method on soda-lime glass plates was carried out by inkjet printing using a modified office inkjet printer equipped with piezoelectric print head.

43 citations

Posted Content
TL;DR: The k-space pseudospectral method is used to solve a set of coupled partial differential equations equivalent to a generalised Westervelt equation and shows good strong scaling behaviour, which means large-scale simulations can be distributed across high numbers of cores on a cluster to minimise execution times with a relatively small overhead.
Abstract: Model-based treatment planning and exposimetry for high-intensity focused ultrasound (HIFU) requires the numerical simulation of nonlinear ultrasound propagation through heterogeneous and absorbing media. This is a computationally demanding problem due to the large distances travelled by the ultrasound waves relative to the wavelength of the highest frequency harmonic. Here, the k-space pseudospectral method is used to solve a set of coupled partial differential equations equivalent to a generalised Westervelt equation. The model is implemented in C++ and parallelised using the message passing interface (MPI) for solving large-scale problems on distributed clusters. The domain is partitioned using a 1D slab decomposition, and global communication is performed using a sparse communication pattern. Operations in the spatial frequency domain are performed in transposed space to reduce the communication burden imposed by the 3D fast Fourier transform. The performance of the model is evaluated using grid sizes up to 4096 x 2048 x 2048 grid points distributed over a cluster using up to 1024 compute cores. Given the global nature of the gradient calculation, the model shows good strong scaling behaviour, with a speed-up of 1.7x whenever the number of cores is doubled. This means large-scale simulations can be distributed across high numbers of cores on a cluster to minimise execution times with a relatively small computational overhead. The efficacy of the model is demonstrated by simulating the ultrasound beam pattern for a HIFU sonication of the kidney.

42 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
Network Information
Related Institutions (5)
Vienna University of Technology
49.3K papers, 1.3M citations

87% related

Polytechnic University of Catalonia
45.3K papers, 949.3K citations

86% related

Fraunhofer Society
40.1K papers, 820.8K citations

86% related

Polytechnic University of Milan
58.4K papers, 1.2M citations

86% related

Aalto University
32.6K papers, 829.6K citations

85% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202328
2022106
20211,053
20201,010
20191,214
20181,131