Publications and projects according to DDC
Publications
Publications and projects according to DDC 530: Physics
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Gorshkov, Vyacheslav N.; Kolupaiev, Vladyslav O.; Boiger, Gernot K.; Mehreganian, Navid; Sareh, Pooya; Fallah, Arash S.,
2024.
Smart controllable wave dispersion in acoustic metamaterials using magnetorheological elastomers.
Journal of Sound and Vibration.
572(118157).
Available from: https://doi.org/10.1016/j.jsv.2023.118157
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Mehreganian, Navid; Safa, Yasser; Boiger, Gernot Kurt,
2024.
Impact analysis of wind turbines subjected to ship collision and blast loading
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In:
Fallah, Arash Soleiman; Khawaja, Hassan Abbas; Moatamedi, Mojtaba, eds.,
Multiphysics of Wind Turbines in Extreme Loading Conditions.
Academic Press.
pp. 101-138.
Available from: https://doi.org/10.1016/B978-0-323-91852-7.00008-8
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Hostettler, Marco; Boiger, Gernot,
2023.
In:
Multiphysics 2023.
18th International Conference of Multiphysics, Graz, Austria, 14-15 December 2023.
International Society of Multiphysics.
pp. 39.
Available from: https://www.multiphysics.org/s/MULTIPHYSICS-2023-Abstract-Booklet.pdf
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Buff, Vincent; Boldrini, Marlon; Boiger, Gernot Kurt,
2023.
In:
18th International Conference of Multiphysics, Graz, Austria, 14-15 December 2023.
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Boiger, Gernot Kurt; Siyahhan, Bercan; Schubiger, Alain; Hostettler, Marco; Fallah, A.S.; Khawaja, H.; Moatamedi, Mojtaba,
2023.
In:
18th International Conference of Multiphysics, Graz, Austria, 14-15 December 2023.
Projects
Projects according to DDC 530: Physics
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European Conference Series on Artificial Intelligence in Industry and Finance
Conferences on AI in Industry and Finance: Four thematic blocks: AI in Finance, AI in Industry, Regulatory Technology in Finance, Ethical Questions in AI.Here the practical and theoretical foundations are laid. New research as well as new product ideas are presented; cooperations are started, first talks recorded: ...
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Machine learning for NMR spectroscopy
The goal of this project is to make NMR spectroscopy available to a wider range of applications and to non-experts by the automation of data reduction and analysis steps, in particular by combining deep learning methods for the extraction and a Bayesian approach for the integration and refinement of information. ...
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AGEAIR II: Investigation of gaseous and particulate emissions of in-service AIRcraft and helicopter turbine engines, as well as the effects of performance deterioration of AGEing aircraft engines
All combustion engines emit a wide range of toxic emissions. On one hand, the gaseous fraction contains mostly nitrous gases (NOx), carbon monoxide, hydrocarbons and sulfur dioxide. Thanks to ICAO regulations, NOx emissions have substantially decreased in recent years, especially by optimizing the combustion ...
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Defect Engineering, Advanced Modelling and Characterization for Next Generation Opto-Electronic-Ionic Devices
In the project Defect Engineering, Advanced Modelling and Characterization for Next Generation Opto-Electronic-Ionic Devices (OptEIon), we investigate the interplay between electron and ionic conductivity in metal-halide perovskite semiconductors. We plan to prepare samples, characterize the transient optoelectronic ...
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DIR3CT: Deep Image Reconstruction through X-Ray Projection-based 3D Learning of Computed Tomography Volumes
Project DIR3CT aims at improving the image quality of CBCT images by deep learning (DL) the 3D reconstruction from X-ray images end-to-end. This enables a novel CBCT product to be used during radiation therapy and will allow the use of these images for adaptive treatment.