Doctoral Programme Dynamics of Complex Continua

21/03/2024

Dear Colleagues,

we are pleased to announce the 6th defense within the dp-docc program:

Thi Tam Dang (Mathematics)
Thesis Title: Modified splitting methods for convection-diffusion-reaction problems.
05.04.2024, 10:00 a.m.
HS B9, Technickerstraße 13a

Interested colleagues are welcome to join!

26/02/2024

We are pleased to announce the 4th and 5th defense within the dp-docc program:

Simon Göppel (Mathematics)
Thesis Title: Translation Invariant Frames, Regularisation and Deep Learning for Inverse Problems
08.03.2024, 14:30
HS 11, Technickerstraße 21

Miriam Chillemi (Applied Mechanics)
Thesis Title: STRUCTURAL CONTROL WITH FLUID INERTER: SYSTEM IDENTIFICATION, MECHANICAL MODELLING, AND CONTROL PERFORMANCE
22.03.2024, 11:00
HS B 6, Technikerstraße 13a

Interested colleagues are welcome to join!

13/11/2023

Second promotion within the DP DOCC!
We are pleased to congratulate Nancy Pomarici for her PhD on "Molecular Dynamics Simulations and Evolutionary Analysis to drive Rational Design of Monoclonal Antibodies"!

06/11/2023

Dear Colleagues,

we are happy to announce the third defense within the dp-docc program: Alexander Moriggl will defense his thesis "Semi-Lagrangian plasma simulation on modern computer architectures" on November, 16th 2023, 10:00, SR Mathematik, Technikerstr. 13, 7th floor.

You are warmly welcome to participate!

16/10/2023

Excited to announce the publication of the latest scientific research in Liedl’s group about the evolution of immunoglobulin isotypes!

N. Pomarici, R. Cacciato, J. K***t, M. Fernández-Quintero, K. Liedl: Evolution of the Immunoglobulin Isotypes—Variations of Biophysical Properties among Animal Classes

Exploring the fascinating world of antibody diversity, this work sheds light on the evolutionary patterns and relationships among different immunoglobulin isotypes in the vertebrate animal classes.

For more information, please visit:

The adaptive immune system arose around 500 million years ago in jawed fish, and, since then, it has mediated the immune defense against pathogens in all vertebrates. Antibodies play a central role in the immune reaction, recognizing and attacking external invaders. During the evolutionary process,....

09/10/2023

Dear Colleagues,
we are happy to announce the second defense within the dp-docc program:
Nancy Pomarici will defense her thesis on November, 3rd 2023, 12:00, L.01.220 at the CCB
You are warmly welcome to participate!

03/10/2023

We are pleased to present a new article by Simon Göppel, Jürgen Frikel, Markus Haltmeier: Feature Reconstruction from Incomplete Tomographic Data without Detour

This paper addresses the challenge of reconstructing image features from limited X-ray CT data. We propose a direct feature reconstruction method that bypasses the need for computing a full image. By considering the specific characteristics of the features, our approach ensures accurate and reliable reconstruction, even with incomplete data. Experimental results demonstrate the effectiveness of our method in reconstructing features from various limited data scenarios. Our framework offers a promising solution to improve feature reconstruction in X-ray CT imaging with limited data.

For more information:

In this paper, we consider the problem of feature reconstruction from incomplete X-ray CT data. Such incomplete data problems occur when the number of measured X-rays is restricted either due to limit radiation exposure or due to practical constraints, making the detection of certain rays challengin...

18/09/2023

We are pleased to present a new article by Shokirbek Shermukhamedov and Michael Probst, Modelling the impact of argon atoms on a tungsten surface

Sputtering from plasma-facing surfaces upon particle impact is an important process in material science. It is especially relevant in the divertor region of fusion devices, which nearly always consist of tungsten. This paper shows the results of molecular dynamics simulations of argon bombardments of tungsten surfaces using neural network potentials. Various incident angles as well as three sample surface temperatures were investigated. The calculated sputtering yields at normal incidents are in good agreement with theoretical and experimental data. That allows us to analyze and compare other related quantities with physical processes in the fusion research field.

For more information: http://doi: 10.1140/epjd/s10053-022-00495-3 [Titel anhand dieser DOI in Citavi-Projekt übernehmen]

28/08/2023

We are pleased to present a new article by M. Chillemi, T. Furtmüller, C. Adam and A. Pirrotta: Assessing the Effect of Different Configurations of Inerter-Based Devices for Structural Vibration Applications

Dynamic vibration control devices provided with inertance, such as Tuned Inerter Dampers (TIDs), Tuned Mass Damper Inerters (TMDIs) or Tuned Liquid Column Damper Inerters (TCDIs), have been shown in numerous numerical studies to have superior vibration mitigation performance compared to conventional devices, such as Tuned Mass Dampers (TMDs). In this study, the behavior of this device and its influence on the response of vibration-prone systems are investigated by analyzing different configurations in a civil engineering context, finding optimized parameters, and assessing the performance of various systems with the inerter in different positions. Indeed, the position of the device can have a significant impact on the benefits derived from structural control design. Numerical analysis shown that to achieve maximum mass amplification effect, one of the inerter terminals must immovably fixed. Moreover, the optimal parameters depend on the particular configuration. Therefore, they must be carefully selected in order to find a suitable numerical optimization method.

For more information:

31/07/2023

We are pleased to present a new article by Harpreet Kaur, Thomas Franosch and Michele Caraglio, Adaptive active Brownian particles searching for targets of unknown positions

Developing behavioral policies designed to efficiently solve target-search problems is a crucial issue both in nature and in the nanotechnology of the 21st century.

In our paper, we address this by characterizing the target-search strategies of simple microswimmers in a homogeneous environment containing sparse targets of unknown positions.



These tiny agents possess the ability of controlling their dynamics by switching between passive and active Brownian motion and by selecting the time duration of each of the two phases. Using a Genetic Algorithm known as NeuroEvolution of Augmenting Topologies, The study unveiled that the magnitude of the particle's self-propulsion during the active phase significantly influences the optimal policy and that a broad spectrum of network topology solutions exists, differing in the number of connections and hidden nodes.



For more information: https://iopscience.iop.org/article/10.1088/2632-2153/ace6f4 [Titel anhand dieser DOI in Citavi-Projekt übernehmen]

Published 20 July 2023 • © 2023 The Author(s). Published by IOP Publishing Ltd Machine Learning: Science and Technology, Volume 4, Number 3 Citation Harpreet Kaur et al 2023 Mach. Learn.: Sci. Technol. 4 035008 DOI 10.1088/2632-2153/ace6f4

22/06/2023

We happily announce the "Workshop on PDEs and Uncer­tainty Quan­ti­fi­ca­tion" which will be held at the University of Innsbruck on November 10, 2023. It is organised in honor of Michael Oberguggenberger's 70th birthday.

The Workshop will include lectures on topics in partial differential equations, stochastics and their engineering applications. Invited speakers are Claudia Garetto (London), Michael Kunzinger (Wien) and Edoardo Patelli (Glasgow).

For further and updated information: www.uibk.ac.at/techmath/mo70

This workshop is organised in honor of Michael Oberguggenberger's 70th birthday. It will include lectures on topics in partial differential equations, stochastics and their engineering applications.

14/06/2023

We are pleased to present a new article by Simon Göppel, Jürgen Frikel and Markus Haltmeier: Translation invariant diagonal frame decomposition of inverse problems and their regularization

Inverse problems, such as medical imaging and non-destructive testing, require stabilizing the reconstruction process to account for measurement errors. We propose a new method, called translation invariant diagonal frame decomposition (TI-DFD), that overcomes image distortions caused by classical wavelet frames. By combining TI-DFD with a regularizing filter, we achieve accurate and stable solutions with optimal convergence rates. Our approach eliminates wavelet artifacts and shows promise for various applications.

For more information:

Published 5 May 2023 • © 2023 The Author(s). Published by IOP Publishing Ltd Inverse Problems, Volume 39, Number 6 Citation Simon Göppel et al 2023 Inverse Problems 39 065011 DOI 10.1088/1361-6420/accd15