Jonas Nitzler 个人学术档案

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	总计	2019 年至今
引用	127	127
h 指数	7	7
i10 指数	6	6

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Wolfgang A. WallProfessor of Computational Mechanics, Technical University of Munich (TUM)在 lnm.mw.tum.de 的电子邮件经过验证
Jonas BiehlerInstitute for Computational Mechanics在 lnm.mw.tum.de 的电子邮件经过验证
Christoph MeierLecturer and Senior Researcher, Technical University of Munich (TUM)在 lnm.mw.tum.de 的电子邮件经过验证
Phaedon-Stelios KoutsourelakisProfessorship of Data-driven Materials Modeling在 tum.de 的电子邮件经过验证
bernhard schreflerUniversity of Padua在 dicea.unipd.it 的电子邮件经过验证
Niklas FehnPostdoctoral Researcher, Augsburg University (DE)在 uni-a.de 的电子邮件经过验证
Sebastian BrandstäterUniversity of the Bundeswehr Munich在 unibw.de 的电子邮件经过验证
Kei W. MuellerTUM在 lnm.mw.tum.de 的电子邮件经过验证
Reimar WeißbachMIT在 mit.edu 的电子邮件经过验证
Sebastian L. FuchsTechnical University of Munich (TUM)在 tum.de 的电子邮件经过验证
A. John HartMIT在 mit.edu 的电子邮件经过验证
José Manuel Garcia-AznarUniversity of Zaragoza在 unizar.es 的电子邮件经过验证
Michael HanssUniversity of Stuttgart, Germany在 itm.uni-stuttgart.de 的电子邮件经过验证
Markus MäckInstitute of Engineering and Computational Mechanics, University of Stuttgart在 itm.uni-stuttgart.de 的电子邮件经过验证
Silvia Hervas-RaluyPhD in Biomedical Engineering, University of Zaragoza在 unizar.es 的电子邮件经过验证
Martin R. PfallerBiomedical Engineering, Yale University在 yale.edu 的电子邮件经过验证
Alison Lesley MarsdenDouglass M. and Nola Leishman Professor of Cardiovascular Disease, Pediatrics and Bioengineering在 stanford.edu 的电子邮件经过验证

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Jonas Nitzler

PhD researcher, Technical University of Munich

在 tum.de 的电子邮件经过验证 - 首页

Probabilistic Machine Learning Inverse Problems Uncertainty Quantification Numerical Mechanics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	35	2021
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	21	2021
Multifidelity approaches for uncertainty quantification J Biehler, M Mäck, J Nitzler, M Hanss, PS Koutsourelakis, WA Wall GAMM‐Mitteilungen 42 (2), e201900008, 2019	16	2019
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	11	2019
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	10	2023
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	3	2022
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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