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of 1 034
pro vyhledávání: '"Wall, Wolfgang"'
Like many optimization algorithms, Stochastic Variational Inference (SVI) is sensitive to the choice of the learning rate. If the learning rate is too small, the optimization process may be slow, and the algorithm might get stuck in local optima. On
Externí odkaz:
http://arxiv.org/abs/2412.15745
The shoulder joint is one of the functionally and anatomically most sophisticated articular systems in the human body. Both complex movement patterns and the stabilization of the highly mobile joint rely on intricate three-dimensional interactions am
Externí odkaz:
http://arxiv.org/abs/2411.03015
Autor:
Rixner, Maximilian, Ludwig, Maximilian, Lindner, Matthias, Frerichs, Inéz, Sablewski, Armin, Wichmann, Karl-Robert, Wachter, Max-Carl, Müller, Kei W., Schädler, Dirk, Wall, Wolfgang A., Biehler, Jonas, Becher, Tobias
The choice of lung protective ventilation settings for mechanical ventilation has a considerable impact on patient outcome, yet identifying optimal ventilatory settings for individual patients remains highly challenging due to the inherent inter- and
Externí odkaz:
http://arxiv.org/abs/2408.14607
Simulation models are nowadays indispensable to efficiently assess or optimize novel battery cell concepts during the development process. Electro-chemo-mechano models are widely used to investigate solid-state batteries during cycling and allow the
Externí odkaz:
http://arxiv.org/abs/2408.05771
Autor:
Datz, Janina C., Steinbrecher, Ivo, Meier, Christoph, Hagmeyer, Nora, Engel, Leif-Christopher, Popp, Alexander, Pfaller, Martin R., Schunkert, Heribert, Wall, Wolfgang A.
Coronary angioplasty with stent implantation is the most frequently used interventional treatment for coronary artery disease. However, reocclusion within the stent, referred to as in-stent restenosis, occurs in up to 10% of lesions. It is widely acc
Externí odkaz:
http://arxiv.org/abs/2407.13276
Autor:
Richter, Jakob, Nitzler, Jonas, Pegolotti, Luca, Menon, Karthik, Biehler, Jonas, Wall, Wolfgang A., Schiavazzi, Daniele E., Marsden, Alison L., Pfaller, Martin R.
Boundary condition (BC) calibration to assimilate clinical measurements is an essential step in any subject-specific simulation of cardiovascular fluid dynamics. Bayesian calibration approaches have successfully quantified the uncertainties inherent
Externí odkaz:
http://arxiv.org/abs/2404.14187
In the last decades, many computational models have been developed to predict soft tissue growth and remodeling (G&R). The constrained mixture theory describes fundamental mechanobiological processes in soft tissue G&R and has been widely adopted in
Externí odkaz:
http://arxiv.org/abs/2404.09706
Unfitted finite element methods, like CutFEM, have traditionally been implemented in a matrix-based fashion, where a sparse matrix is assembled and later applied to vectors while solving the resulting linear system. With the goal of increasing perfor
Externí odkaz:
http://arxiv.org/abs/2404.07911
Autor:
Proell, Sebastian D., Brotz, Julian, Kronbichler, Martin, Wall, Wolfgang A., Meier, Christoph
Fast and efficient simulations of metal additive manufacturing (AM) processes are highly relevant to exploring the full potential of this promising manufacturing technique. The microstructure composition plays an important role in characterizing the
Externí odkaz:
http://arxiv.org/abs/2402.17580
Autor:
Much, Nils, Schreter-Fleischhacker, Magdalena, Munch, Peter, Kronbichler, Martin, Wall, Wolfgang A., Meier, Christoph
Computational modeling of the melt pool dynamics in laser-based powder bed fusion metal additive manufacturing (PBF-LB/M) promises to shed light on fundamental mechanisms of defect generation. These processes are accompanied by rapid evaporation so t
Externí odkaz:
http://arxiv.org/abs/2401.12114