Dieses Bild zeigt André Mielke

André Mielke

Herr Dipl.-Phys.

Lehrbeauftragter
Institut für Statik und Dynamik der Luft- und Raumfahrtkonstruktionen

Kontakt

+49 711 685 63706
Visitenkarte (VCF)

Pfaffenwaldring 27
70569 Stuttgart
Germany
Raum: 1.002

Fachgebiet

  • Finite-Elemente-Analyse
  • Machine Learning
  • Quantum Computing

  1. 2023

    1. Mandl, Luis ; Mielke, André ; Seyedour, Seyed Morteza ; Ricken, Tim: Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem. In: Scientific Reports, Scientific Reports. Bd. 13 (2023), Nr. 15566

  2. 2021

    1. Egli, Franziska S. ; Straube, Richard C. ; Mielke, André ; Ricken, Tim: Surrogate Modeling of a Nonlinear, Biphasic Model of Articular Cartilage with Artificial Neural Networks. In: PAMM, PAMM. Bd. 21 (2021), Nr. 1
    2. Mielke, André ; Ricken, Tim: Solving linear equation systems on noisy intermediate--scale quantum computers. In: PAMM, PAMM. Bd. 20 (2021), Nr. 1
    3. Mielke, André ; Ricken, Tim: Finite element analysis of a 2D cantilever on a noisy intermediate-scale quantum computer. In: PAMM, PAMM. Bd. 21 (2021), Nr. 1, S. e202100246
    4. Pi Savall, Berta ; Mielke, André ; Ricken, Tim: Data-Driven Stress Prediction for Thermoplastic Materials. In: PAMM, PAMM. Bd. 21 (2021), Nr. 1
    5. Lambers, Lena ; Mielke, André ; Ricken, Tim: Semi-automated Data-driven FE Mesh Generation and Inverse Parameter Identification for a Multiscale and Multiphase Model of Function-Perfusion Processes in the Liver. In: PAMM, PAMM. Bd. 21, Wiley (2021), Nr. 1

  3. 2019

    1. Mielke, A. ; Ricken, T.: Evaluating Artificial Neural Networks and Quantum Computing for Solving Mechanical Boundary Value Problems. In: Zingoni, A. (Hrsg.) ; Zingoni, A. (Hrsg.): Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications, Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications. PO box 11320, Leiden, 2301 EH, Netherlands : CRC Press-Balkema, 2019. — 7th International Conference on Structural Engineering, Mechanics and  Computation (SEMC), Cape Town, SOUTH AFRICA, SEP 02-04, 2019 — ISBN 978-0-429-42650-6; 978-1-138-38696-9, S. 537–542
    2. Mielke, André ; Ricken, Tim: Evaluating Artificial Neural Networks and Quantum Computing for Mechanics, PAMM. Bd. 19, 2019
  • Multiscale and Multiphase Materials (SS18)
  • Simulation of Coupled Problems (WS18/19)
  • Seminar Angewandte Finite Elemente (WS18/19) (WS19/20)
  • Nichtlineare Finite-Elemente-Methode (SS19)
  • Finite-Elemente-Methode II (WS19/20)
  • Methoden des maschinellen Lernens in der Mechanik (SS20, SS21, SS22, SS23)
  • Applied Machine Learning for Engineers (WS20/21, WS21/22, WS22/23, WS23/24)
  • Quantum Computing for Engineers (WS20/21, WS21/22, WS22/23, WS23/24)

Machine Learning

Finite-Elemente-Analyse

Quantum Computing

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