This image showsTimothy Praditia

M.Sc.

Timothy Praditia

PhD student
Institute for Modelling Hydraulic and Environmental Systems (LS3/SimTech)

Contact

+49-711-685 60108

Pfaffenwaldring 5a
D-70569 Stuttgart
Germany
Room: 2.33

  1. 2021 (submitted)

    1. Praditia T, Oladyshkin S, Nowak W. Finite Volume Neural Networks: a Hybrid Modeling Strategy for Subsurface Contaminant Transport. In: AGU Fall Meeting 2021. (AGU Fall Meeting 2021).
  2. 2021

    1. Praditia T, Karlbauer M, Otte S, Oladyshkin S, Butz M, Nowak W. Finite Volume Neural Network: Modeling Subsurface Contaminant Transport. In: Deep Learning for Simulation ICLR Workshop 2021 [Internet]. 2021. (Deep Learning for Simulation ICLR Workshop 2021). Available from: https://arxiv.org/abs/2104.06010
    2. Flaig S, Praditia T, Kissinger A, Lang U, Oladyshkin S, Nowak W. Prognosis of water levels in a moor groundwater system influenced by hydrology and water extraction using an artificial neural network. In online: EGU General Assembly 2021; 2021.
    3. Praditia T, Oladyshkin S, Nowak W. Physics Informed Neural Network for porous media modelling. In Stuttgart, Germany: InterPore German Chapter Meeting 2021; 2021.
    4. Xiao S, Praditia T, Oladyshkin S, Nowak W. Global sensitivity analysis of a CaO/Ca(OH)2 thermochemical energy storage model for parametric effect analysis. Applied Energy [Internet]. 2021;285:116456. Available from: https://www.sciencedirect.com/science/article/pii/S0306261921000222
    5. Praditia T, Oladyshkin S, Nowak W. Universal Differential Equation for Diffusion-Sorption Problem in Porous Media Flow. In online: EGU General Assembly 2021; 2021.
  3. 2020

    1. Praditia T, Walser T, Oladyshkin S, Nowak W. Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies [Internet]. 2020;13(15):3873. Available from: https://www.mdpi.com/1996-1073/13/15/3873
  4. 2019

    1. Praditia T, Walser T, Oladyshkin S, Nowak W. Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systems. In: Fall Meeting 2019, Abstract: IN32B-15. San Francisco, CA, USA: American Geophysical Union (AGU); 2019. (Fall Meeting 2019, Abstract: IN32B-15).
  5. 2018

    1. Praditia T, Helmig R, Hajibeygi H. Multiscale formulation for coupled flow-heat equations arising from single-phase flow in fractured geothermal reservoirs. Computational Geosciences [Internet]. 2018 Oct;22(5):1305–22. Available from: https://doi.org/10.1007/s10596-018-9754-4
  6. 2017

    1. Praditia T, Helmig R, Hajibeygi H. Multiscale finite volume method for sequentially coupled flow-heat system of equations in fractured porous media: application to geothermal systems. In Erlangen, Germany: SIAM Conference on Mathematical and Computational Issues in the Geosciences; 2017.

07/2012 B.Sc. Petroleum Engineering, Institute Teknologi Bandung (Indonesia)
08/2017 M.Sc. Applied Earth Sciences, Technische Universiteit Delft (Netherlands)
Since 01/2018 PhD Student, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart

Physics-informed Artificial Neural Network

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