Zobrazeno 1 - 10
of 4 798
pro vyhledávání: '"A, Stefanou"'
Autor:
Grimpen, Fritz, Stefanou, Anastasios
Flat-injective presentations were introduced by Miller (2020) to provide combinatorial descriptions of $\mathbb Z^n$-graded modules. We consider them in the setting of local graded rings $R$, with grading over an abelian group, and give a criterion f
Externí odkaz:
http://arxiv.org/abs/2410.17667
Reduced-scale experiments offer a controlled and safe environment for studying the effects of blasts on structures. Traditionally, these experiments rely on the detonation of solid or gaseous explosive mixtures, with only limited understanding of alt
Externí odkaz:
http://arxiv.org/abs/2410.07221
This paper introduces a novel approach that combines Proper Orthogonal Decomposition (POD) with Thermodynamics-based Artificial Neural Networks (TANN) to capture the macroscopic behavior of complex inelastic systems and derive macroelements in geomec
Externí odkaz:
http://arxiv.org/abs/2408.07165
Deep Geothermal Energy, Carbon Capture and Storage, and Hydrogen Storage hold considerable promise for meeting the energy sector's large-scale requirements and reducing CO$_2$ emissions. However, the injection of fluids into the Earth's crust, essent
Externí odkaz:
http://arxiv.org/abs/2408.03664
Autor:
Morsel, Ahmad, Masi, Filippo, Marché, Emmanuel, Racineux, Guillaume, Kotronis, Panagiotis, Stefanou, Ioannis
We present a novel experimental setup called miniBLAST, which enables systematic and repeatable laboratory tests of structures subjected to blast loads. The explosive source is based on the discharge of high electrical loads on a thin conductor, prod
Externí odkaz:
http://arxiv.org/abs/2408.01586
This study investigates the potential accuracy boundaries of physics-informed neural networks, contrasting their approach with previous similar works and traditional numerical methods. We find that selecting improved optimization algorithms significa
Externí odkaz:
http://arxiv.org/abs/2405.04230
Autor:
Grimpen, Fritz, Stefanou, Anastasios
Given a multiparameter filtration of simplicial complexes, we consider the problem of explicitly constructing generators for the multipersistent homology groups with arbitrary PID coefficients. We propose the use of spanning trees as a tool to identi
Externí odkaz:
http://arxiv.org/abs/2312.00235
Autor:
Garyfallou, Dimitrios, Stefanou, Athanasios, Giamouzis, Christos, Antoniadis, Moschos, Chararas, Georgios, Chatzis, Konstantinos, Samaras, Dimitris, Themeli, Rafaela, Michailidis, Anastasios, Gogolou, Vasiliki, Zachos, Nikos, Evmorfopoulos, Nestor, Noulis, Thomas, Pavlidis, Vasilis F., Hatzopoulos, Alkiviadis, Chatzineofytou, Elpida, Moisiadis, Yiannis
Model order reduction (MOR) is crucial for the design process of integrated circuits. Specifically, the vast amount of passive RLCk elements in electromagnetic models extracted from physical layouts exacerbates the extraction time, the storage requir
Externí odkaz:
http://arxiv.org/abs/2401.10236
In this paper, we introduce the persistence transformation, a novel methodology in Topological Data Analysis (TDA) for applications in time series data which can be obtained in various areas such as science, politics, economy, healthcare, engineering
Externí odkaz:
http://arxiv.org/abs/2310.05559
Deep Geothermal Energy, Carbon Capture, and Storage and Hydrogen Storage have significant potential to meet the large-scale needs of the energy sector and reduce the CO$_2$ emissions. However, the injection of fluids into the earth's crust, upon whic
Externí odkaz:
http://arxiv.org/abs/2310.02700