Franz Bamer

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Bernd MarkertUniversity Professor, Director at Institute of General Mechanics, RWTH Aachen UniversityAdresse e-mail validée de iam.rwth-aachen.de
Arnd KoeppeGroup leader, Karlsruhe Institute of Technology (KIT), INT-MSS and IAM-MMSAdresse e-mail validée de kit.edu
Marion MundtNutrition and Health Innovation Research Institute, Edith Cowan UniversityAdresse e-mail validée de ecu.edu.au
Marcus StoffelProfessor of Mechanics, RWTH Aachen UniversityAdresse e-mail validée de iam.rwth-aachen.de
Firaz EbrahemRWTH Aachen UniversityAdresse e-mail validée de iam.rwth-aachen.de
Wolfgang PotthastGerman Sport University CologneAdresse e-mail validée de dshs-koeln.de
Sina DavidAssistant Professor Human Movement Sciences, Vrije Universiteit AmsterdamAdresse e-mail validée de vu.nl
Denny ThalerRWTH Aachen UniversityAdresse e-mail validée de iam.rwth-aachen.de
Christian BucherVienna University of TechnologyAdresse e-mail validée de tuwien.ac.at
Jianye ShiRWTH Aachen UniversityAdresse e-mail validée de ifam.rwth-aachen.de
Michael SelzerKarlsruher Institut für TechnologieAdresse e-mail validée de kit.edu
Jan StratmannDoctoral Researcher, Institute of General Mechanics, RWTH Aachen UniversityAdresse e-mail validée de iam.rwth-aachen.de
Somar Shekh AlshababPhD researcher, RWTH AachenAdresse e-mail validée de iam.rwth-aachen.de
Benjamin StammUniversity of StuttgartAdresse e-mail validée de ians.uni-stuttgart.de
Britta NestlerProfessor für Mikrostruktursimulation in der Werkstofftechnik, Karlsruher Institut für TechnologieAdresse e-mail validée de kit.edu
Abbas Mehrad KAZEMI AMIRILecturer - Strathclyde Chancellor's FellowAdresse e-mail validée de strath.ac.uk
Thomas DupréGerman Sport University CologneAdresse e-mail validée de yag.de
Rutwik GulakalaRWTH AachenAdresse e-mail validée de iam.rwth-aachen.de
Michael D. ShieldsJohns Hopkins UniversityAdresse e-mail validée de jhu.edu
Somayajulu L. N. DhulipalaComputational Scientist, Idaho National LabAdresse e-mail validée de inl.gov

Suivre

Franz Bamer

PostDoc, RWTH Aachen University

Adresse e-mail validée de iam.rwth-aachen.de

Structural Dynamics Model Order Reduction Disordered Materials Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Estimation of gait mechanics based on simulated and measured IMU data using an artificial neural network M Mundt, A Koeppe, S David, T Witter, F Bamer, W Potthast, B Markert Frontiers in bioengineering and biotechnology 8, 41, 2020	158	2020
Prediction of lower limb joint angles and moments during gait using artificial neural networks M Mundt, W Thomsen, T Witter, A Koeppe, S David, F Bamer, W Potthast, ... Medical & biological engineering & computing 58, 211-225, 2020	122	2020
Artificial neural networks and intelligent finite elements in non-linear structural mechanics M Stoffel, F Bamer, B Markert Thin-Walled Structures 131, 102-106, 2018	111	2018
Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies M Stoffel, R Gulakala, F Bamer, B Markert Computer Methods in Applied Mechanics and Engineering 364, 112989, 2020	79	2020
An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture A Koeppe, F Bamer, B Markert Computer Methods in Applied Mechanics and Engineering 366, 113088, 2020	68	2020
Neural network based constitutive modeling of nonlinear viscoplastic structural response M Stoffel, F Bamer, B Markert Mechanics Research Communications 95, 85-88, 2019	67	2019
A new model order reduction strategy adapted to nonlinear problems in earthquake engineering F Bamer, AK Amiri, C Bucher Earthquake Engineering & Structural Dynamics 46 (4), 537-559, 2017	60	2017
Prediction of ground reaction force and joint moments based on optical motion capture data during gait M Mundt, A Koeppe, S David, F Bamer, W Potthast, B Markert Medical Engineering & Physics 86, 29-34, 2020	54	2020
Deep convolutional neural networks in structural dynamics under consideration of viscoplastic material behaviour M Stoffel, F Bamer, B Markert Mechanics Research Communications 108, 103565, 2020	54	2020
An efficient Monte Carlo strategy for elasto-plastic structures based on recurrent neural networks A Koeppe, F Bamer, B Markert Acta Mechanica 230, 3279-3293, 2019	54	2019
Application of the proper orthogonal decomposition for linear and nonlinear structures under transient excitations F Bamer, C Bucher Acta Mechanica 223, 2549-2563, 2012	54	2012
Machine‐learning‐enhanced tail end prediction of structural response statistics in earthquake engineering D Thaler, M Stoffel, B Markert, F Bamer Earthquake Engineering & Structural Dynamics 50 (8), 2098-2114, 2021	52	2021
Assessment of the measurement accuracy of inertial sensors during different tasks of daily living M Mundt, W Thomsen, S David, T Dupré, F Bamer, W Potthast, B Markert Journal of biomechanics 84, 81-86, 2019	48	2019
The influence of the network topology on the deformation and fracture behaviour of silica glass: A molecular dynamics study F Ebrahem, F Bamer, B Markert Computational Materials Science 149, 162-169, 2018	48	2018
Artificial neural networks in motion analysis—applications of unsupervised and heuristic feature selection techniques M Mundt, A Koeppe, F Bamer, S David, B Markert Sensors 20 (16), 4581, 2020	38	2020
An eﬃcient response identification strategy for nonlinear structures subject to nonstationary generated seismic excitations F Bamer, B Markert Mechanics Based Design of Structures and Machines 45 (3), 313-330, 2017	31	2017
Explainable artificial intelligence for mechanics: physics-explaining neural networks for constitutive models A Koeppe, F Bamer, M Selzer, B Nestler, B Markert Frontiers in Materials 8, 824958, 2022	27	2022
Plasticity in vitreous silica induced by cyclic tension considering rate-dependence: Role of the network topology F Bamer, F Ebrahem, B Markert Journal of Non-Crystalline Solids 503, 176-181, 2019	26	2019
Vitreous 2D silica under tension: From brittle to ductile behaviour F Ebrahem, F Bamer, B Markert Materials Science and Engineering: A 780, 139189, 2020	25	2020
Intelligent prediction of kinetic parameters during cutting manoeuvres M Mundt, S David, A Koeppe, F Bamer, B Markert, W Potthast Medical & Biological Engineering & Computing 57, 1833-1841, 2019	25	2019

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