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SimTech EXC 2075 Project Network 7 "Adaptive simulation and interaction" |
SimTech EXC 2075 Project Network 6 "Machine learning for simulation" |
SimTech EXC 2075 Project Network 5 "On-the-fly model modification, error control, and simulation adaptivity" |
SimTech EXC 2075 Project Network 4 "Data-integrated control systems design with guarantees" |
SimTech EXC 2075 Project Network 3 "Data-integrated model reduction for particles and continua" |
SimTech EXC 2075 Project Network 2 "In silico models of coupled biological systems" |
SimTech EXC 2075 Project Network 1 "Data-integrated models and methods for multiphase fluid dynamics" |
Feb 20, 2020PN 5
SimTech Project PN 5-6 "Physics-informed ANNs for dynamic, distributed and stochastic systems" |
Feb 20, 2020PN 5-6
This dataverse contains dataset and codes for the submitted publication: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W. (2020): Physics-inspired Artificial Neural Network structure improves prediction: Application to a Thermochemical Energy Storage System |
Jul 21, 2020 - PINN Dynamic System
Praditia, Timothy, 2020, "Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic System", https://doi.org/10.18419/darus-633, DaRUS, V1
This dataset contains two .mat files, one pre-processed (direct simulation results) and the other one is with added noise. The simulated problem is a thermochemical energy storage problem using CaO/Ca(OH)2 as the material choice. This dataset is used as input-output data pairs ne... |
