Multiscale Simulation Framework for Functional Polymers


DPG-Frühjahrstagung | event contribution
Link to conference: https://berlin24.dpg-tagungen.de/
Hosted by: TU Berlin
March 17, 2024 | Berlin, Germany

Functional mechanically resilient polymer films, such as films of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS), play an important role for strain gauges or organic light-emitting diode (OLED) displays [1-2]. The modeling and simulation workflow presented here enables the generation of disordered polymers and the linking of the mechanical and electronic properties from the atomistic to the microscopic size scale. Here, the focus is on the relationship between deformation and conductivity behavior. To calculate the multi-scale material behavior, we use density functional tight binding (DFTB) calculations, molecular dynamics simulations, and the finite element method. The in-situ processing, evaluation as well as the exchange of the generated data across simulation methods is performed using our Python framework. The multi-scale computational workflow indicated here represents a computationally efficient assessment of material properties at different scales. [1] R. Luo, et al., Progress in Organic Coatings, (2022) [2] M. Cinquino et al., Journal of Science: Advanced Materials and Devices, (2022)


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Multiscale Simulation Framework for Functional Polymers


DPG-Frühjahrstagung | event contribution
Link to conference: https://berlin24.dpg-tagungen.de/
Hosted by: TU Berlin
March 17, 2024 | Berlin, Germany

Functional mechanically resilient polymer films, such as films of poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS), play an important role for strain gauges or organic light-emitting diode (OLED) displays [1-2]. The modeling and simulation workflow presented here enables the generation of disordered polymers and the linking of the mechanical and electronic properties from the atomistic to the microscopic size scale. Here, the focus is on the relationship between deformation and conductivity behavior. To calculate the multi-scale material behavior, we use density functional tight binding (DFTB) calculations, molecular dynamics simulations, and the finite element method. The in-situ processing, evaluation as well as the exchange of the generated data across simulation methods is performed using our Python framework. The multi-scale computational workflow indicated here represents a computationally efficient assessment of material properties at different scales. [1] R. Luo, et al., Progress in Organic Coatings, (2022) [2] M. Cinquino et al., Journal of Science: Advanced Materials and Devices, (2022)


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