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Arnd Koeppe
Arnd Koeppe
Group leader (Postdoctoral Researcher), Karlsruhe Institute of Technology (KIT), INT-MSS and IAM-MMS
Verified email at kit.edu - Homepage
Title
Cited by
Cited by
Year
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
1212020
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
932020
Efficient numerical modeling of 3D-printed lattice-cell structures using neural networks
A Koeppe, CAH Padilla, M Voshage, JH Schleifenbaum, B Markert
Manufacturing Letters 15, 147-150, 2018
682018
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
532020
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
502019
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
392020
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
292020
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
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
232019
An efficient Monte Carlo simulation strategy based on model order reduction and artificial neural networks
F Bamer, A Koeppe, B Markert
PAMM 17 (1), 287-288, 2017
152017
Neural network representation of a phase‐field model for brittle fracture
A Koeppe, F Bamer, CA Hernandez Padilla, B Markert
PAMM 17 (1), 253-254, 2017
152017
An intelligent meta‐element for linear elastic continua
A Koeppe, F Bamer, B Markert
PAMM 18 (1), e201800283, 2018
122018
Model reduction and submodelling using neural networks
A Koeppe, F Bamer, B Markert
Pamm 16 (1), 537-538, 2016
112016
Deep learning in the finite element method
A Koeppe
Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2021, 2021
92021
Prediction of joint kinetics based on joint kinematics using neural networks
M Mundt, A Koeppe, F Bamer, W Potthast, B Markert
Proceedings of the 36th Conference of the International Society of …, 2018
92018
Machine learning assisted design of experiments for solid state electrolyte lithium aluminum titanium phosphate
Y Zhao, N Schiffmann, A Koeppe, N Brandt, EC Bucharsky, KG Schell, ...
Frontiers in Materials 9, 821817, 2022
72022
Prediction of joint kinetics based on joint kinematics using artificial neural networks
M Mundt, A Koeppe, F Bamer, W Potthast, B Markert
ISBS Proceedings Archive 36 (1), 794, 2018
72018
Characterization of porous membranes using artificial neural networks
Y Zhao, P Altschuh, J Santoki, L Griem, G Tosato, M Selzer, A Koeppe, ...
Acta Materialia 253, 118922, 2023
62023
Mechanik 4.0. Künstliche Intelligenz zur Analyse mechanischer Systeme
A Koeppe, DF Hesser, M Mundt, F Bamer, B Markert
Handbuch Industrie 4.0: Recht, Technik, Gesellschaft, 553-567, 2020
52020
Data‐Driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases
D Rajagopal, A Koeppe, M Esmaeilpour, M Selzer, W Wenzel, H Stein, ...
Advanced Energy Materials 13 (40), 2301985, 2023
42023
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Articles 1–20