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Jonas Nitzler
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Physics-Based Modeling and Predictive Simulation of Powder Bed Fusion Additive Manufacturing Across Length Scales
C Meier, SL Fuchs, N Much, J Nitzler, RW Penny, PM Praegla, SD Pröll, ...
GAMM-Mitteilungen. (2021), e202100014. https://doi.org/10.1002/gamm.202100014, 2021
352021
A generalized probabilistic learning approach for multi-fidelity uncertainty quantification in complex physical simulations
J Nitzler, J Biehler, N Fehn, PS Koutsourelakis, WA Wall
Computer Methods in Applied Mechanics and Engineering 400, 115600, 2022
24*2022
A novel physics-based and data-supported microstructure model for part-scale simulation of laser powder bed fusion of Ti-6Al-4V
J Nitzler, C Meier, KW Müller, WA Wall, NE Hodge
Advanced Modeling and Simulation in Engineering Sciences 8 (1), 16, 2021
212021
Multifidelity approaches for uncertainty quantification
J Biehler, M Mäck, J Nitzler, M Hanss, PS Koutsourelakis, WA Wall
GAMM‐Mitteilungen 42 (2), e201900008, 2019
162019
QUEENS—a software platform for uncertainty quantification, physicsinformed machine learning, Bayesian optimization, inverse problems and simulation analytics: user guide
J Biehler, J Nitzler, WA Wall, V Gravemeier
AdCo EngineeringGW, 2019
112019
Global sensitivity analysis based on Gaussian‐process metamodelling for complex biomechanical problems
B Wirthl, S Brandstaeter, J Nitzler, BA Schrefler, WA Wall
International journal for numerical methods in biomedical engineering 39 (3 …, 2023
102023
Tumour growth: An approach to calibrate parameters of a multiphase porous media model based on in vitro observations of Neuroblastoma spheroid growth in a hydrogel microenvironment
S Hervas-Raluy, B Wirthl, PE Guerrero, GR Rei, J Nitzler, E Coronado, ...
Computers in Biology and Medicine 159, 106895, 2023
7*2023
Bayesian calibration of coupled computational mechanics models under uncertainty based on interface deformation
H Willmann, J Nitzler, S Brandstäter, WA Wall
Advanced modeling and simulation in engineering sciences 9 (1), 24, 2022
32022
Bayesian Windkessel calibration using optimized 0D surrogate models
J Richter, J Nitzler, L Pegolotti, K Menon, J Biehler, WA Wall, ...
arXiv preprint arXiv:2404.14187, 2024
2024
Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning
M Dinkel, CM Geitner, GR Rei, J Nitzler, WA Wall
arXiv preprint arXiv:2312.08085, 2023
2023
Global sensitivity analysis of complex biomechanical models
S Brandstaeter, B Wirthl, J Nitzler, WA Wall
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