Searched for: subject%3A%22Inversion%22
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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Alfaraj, Ali (author)
Imaging and inversion with seismic data recorded with sources and receivers at the surface are powerful tools to infer knowledge about the subsurface. However, creating an image with seismic data is unfortunately not as easy as taking a picture with a smartphone. The estimated subsurface models in many situations are far from ideal due to the...
doctoral thesis 2024
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van der Spaa, L.F. (author)
Physical human-robot cooperation (pHRC) has the potential to combine human and robot strengths in a team that can achieve more than a human and a robot working on the task separately. However, how much of the potential can be realized depends on the quality of cooperation, in which awarenes of the partner’s intention and preferences plays an...
doctoral thesis 2024
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Revelo Obando, B.A. (author)
Seismic survey design deals with determining the acquisition parameters that lead to the best possible imaging and characterization of the subsurface. The design of the survey is constrained by health, safety and environmental considerations and the available budget, seeking for a balance between quality and cost. Because seismic exploration is...
doctoral thesis 2024
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Zimmerling, J.T. (author), Druskin, Vladimir (author), Guddati, Murthy (author), Cherkaev, Elena (author), Remis, R.F. (author)
We present a reduced-order model (ROM) methodology for inverse scattering problems in which the ROMs are data-driven, i.e. they are constructed directly from data gathered by sensors. Moreover, the entries of the ROM contain localised information about the coefficients of the wave equation. We solve the inverse problem by embedding the ROM in...
journal article 2024
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Marsman, C. P. (author), Vossepoel, F.C. (author), Van Dinther, Y. (author), Govers, R. (author)
Bayesian-based data assimilation methods integrate observational data into geophysical forward models to obtain the temporal evolution of an improved state vector, including its uncertainties. We explore the potential of a variant, a particle method, to estimate mechanical parameters of the overriding plate during the interseismic period....
journal article 2024
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Masfara, La ODE Marzujriban (author), Weemstra, C. (author)
The Hamiltonian Monte Carlo algorithm is known to be highly efficient when sampling high-dimensional model spaces due to Hamilton's equations guiding the sampling process. For weakly non-linear problems, linearizing the forward problem enhances this efficiency. This study integrates this linearization with geological prior knowledge for...
journal article 2024
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Trunz, Elena (author), Klein, Jonathan (author), Müller, Jan (author), Bode, Lukas (author), Sarlette, Ralf (author), Weinmann, M. (author), Klein, Reinhard (author)
We investigate the capabilities of neural inverse procedural modeling to infer high-quality procedural yarn models with fiber-level details from single images of depicted yarn samples. While directly inferring all parameters of the underlying yarn model based on a single neural network may seem an intuitive choice, we show that the complexity...
journal article 2024
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Mulder, W.A. (author)
To estimate the depth errors in a subsurface model obtained from the inversion of seismic data, the stationary-phase approximation in a two-dimensional constant-velocity model with a dipped reflector is applied to migration with a time-shift extension. This produces two asymptotic solutions: one is a straight line, and the other is a curve....
journal article 2024
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Yan, Dong (author), Gugushvili, Shota (author), van der Vaart, A.W. (author)
We obtain rates of contraction of posterior distributions in inverse problems with discrete observations. In a general setting of smoothness scales we derive abstract results for general priors, with contraction rates determined by discrete Galerkin approximation. The rate depends on the amount of prior concentration near the true function...
journal article 2024
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Xu, Ying (author), Casalino, D. (author), Zhang, Xiao Zheng (author), Zhang, Yong Bin (author), Bi, Chuan Xing (author)
A time-domain inverse aeroacoustic method based on the convective Ffowcs Williams–Hawkings equation is presented. The method allows to determine, in real-time, the unsteady forces exerted on rotating blades in the presence of a moving medium. The inversion procedure is based on a space-time regularization with a mixed l1,2-norm, which guarantees...
journal article 2024
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Aigner, Lukas (author), Werthmüller, D. (author), Flores Orozco, Adrián (author)
We investigate the application of the distance-based global sensitivity analysis (DGSA) to evaluate the sensitivity of electrical model parameters obtained from transient electromagnetic (TEM) data including induced polarization (IP) effects. We propose novel open-source forward modeling and inversion routines for single-loop TEM data...
journal article 2024
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Zhai, X. (author), Wang, Weiming (author), Chen, Falai (author), Wu, J. (author)
Recent years have seen a growing interest in topology optimization of functionally graded microstructures, characterized by an array of microstructures with varying volume fractions. However, microstructures optimized at slightly different volume fractions do not necessarily connect well when placed adjacently. Furthermore, optimization is...
journal article 2024
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Koers, G.J. (author)
Imagine you need to navigate through a completely dark cave. A well-known way of achieving this is echolocation, which works by making sounds and listening to how they are reflected back. The problem of determining the geometric shape of a space from a mixture of reflections of emitted sounds, is an example of an inverse problem. In many fields...
doctoral thesis 2023
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Jokic, I. (author)
The concept of a network, defined as a collection of interconnected nodes or entities, has become a foundation for a new field of inquiry, namely network science. Despite the apparent simplicity of the concept, the pairwise representation of interconnecting nodes has enabled a plethora of insights into the structure of networks and the effects...
doctoral thesis 2023
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Tian, X. (author)
This study investigates the application of inverse modeling in numerical geo-energy scenarios such as petroleum, geothermal, and CCS projects. The study aims to enhance model accuracy and predictive capabilities for real-world applications. The focus lies on the implementation of the inverse modeling framework within the open-source simulator...
doctoral thesis 2023
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van Zwieten, G.J. (author)
A vital component in the management of seismic hazard is the study of past seismic events. Classically, this has been the domain of seismology, which studies the dynamic manifestations of the event to infer properties such as epicenter and moment magnitude. More recently it has become possible to perform similar analyses on the basis of the...
doctoral thesis 2023
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Avaei, S. (author), van der Spaa, L.F. (author), Peternel, L. (author), Kober, J. (author)
Humans often demonstrate diverse behaviors due to their personal preferences, for instance, related to their individual execution style or personal margin for safety. In this paper, we consider the problem of integrating both path and velocity preferences into trajectory planning for robotic manipulators. We first learn reward functions that...
journal article 2023
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van 't Sant, S. (author), Thakolkaran, P. (author), Martínez, Jonàs (author), Kumar, Siddhant (author)
Advancements in machine learning have sparked significant interest in designing mechanical metamaterials, i.e., materials that derive their properties from their inherent microstructure rather than just their constituent material. We propose a data-driven exploration of the design space of growth-based cellular metamaterials based on star-shaped...
journal article 2023
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Kedves, Máté (author), Szentpéteri, Bálint (author), Márffy, Albin (author), Tóvári, Endre (author), Papadopoulos, N. (author), Rout, P.K. (author), Watanabe, Kenji (author), Taniguchi, Takashi (author), Goswami, S. (author), Makk, Peter (author)
Bilayer graphene (BLG) was recently shown to host a band-inverted phase with unconventional topology emerging from the Ising-type spin-orbit interaction (SOI) induced by the proximity of transition metal dichalcogenides with large intrinsic SOI. Here, we report the stabilization of this band-inverted phase in BLG symmetrically encapsulated in...
journal article 2023
Searched for: subject%3A%22Inversion%22
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