This image shows André Mielke

André Mielke

Dipl.-Phys.

Research Assistant
Institute of Mechanics, Structural Analysis, and Dynamics of Aerospace Structures
[Photo: Max Kovalenko]

Contact

+49 711 685 69544
+4971168563706

Pfaffenwaldring 27
70569 Stuttgart
Germany
Room: 1.002

Subject

  • Finite Element Analysis
  • Machine Learning
  • Quantum Computing
  1. 2021

    1. Pi Savall, B., Mielke, A., & Ricken, T. (2021). Data-Driven Stress Prediction for Thermoplastic Materials. PAMM, 21(1), Article 1. https://doi.org/10.1002/pamm.202100225
    2. Egli, F. S., Straube, R. C., Mielke, A., & Ricken, T. (2021). Surrogate Modeling of a Nonlinear, Biphasic Model of Articular Cartilage with Artificial Neural Networks. PAMM, 21(1), Article 1. https://doi.org/10.1002/pamm.202100188
    3. Mielke, A., & Ricken, T. (2021). Solving linear equation systems on noisy intermediate--scale quantum computers. PAMM, 20(1), Article 1. https://doi.org/10.1002/pamm.202000266
    4. Mielke, A., & Ricken, T. (2021). Finite element analysis of a 2D cantilever on a noisy intermediate-scale quantum computer. PAMM, 21(1), e202100246. https://doi.org/10.1002/pamm.202100246
    5. Lambers, L., Mielke, A., & Ricken, T. (2021). Semi-automated Data-driven FE Mesh Generation and Inverse Parameter Identification for a Multiscale and Multiphase Model of Function-Perfusion Processes in the Liver. PAMM, 21(1), Article 1. https://doi.org/10.1002/pamm.202100190
  2. 2019

    1. Mielke, A., & Ricken, T. (2019). Evaluating Artificial Neural Networks and Quantum Computing for Solving Mechanical Boundary Value Problems. In A. Zingoni (Ed.), Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications (pp. 537–542). CRC Press-Balkema.
    2. Mielke, A., & Ricken, T. (2019). Evaluating Artificial Neural Networks and Quantum Computing for Mechanics. In PAMM (No. 1; Vol. 19, Issue 1, p. e201900470). https://doi.org/10.1002/pamm.201900470
Multiscale and Multiphase Materials (SS18)
Simulation of Coupled Problems (WS18/19)
Applied Finite Elements - Seminar (WS19/20, WS18/19)
Nonlinear Finite-Elements (SS19)
Finite-Element-Method II (WS19/20)
Machine Learning Methods in Mechanics (SS20)

Applied Machine Learning for Engineers (WS20/21, WS21/22)

Quantum Computing for Engineers (WS20/21, WS21/22)

Machine Learning Methods in Mechanics (SS21)

 

Machine Learning

Finite Element Analysis

Quantum Computing

To the top of the page