Multiscale Simulation Framework for Functional Polymer Systems


DPG Spring Meeting of the Condensed Matter Section (SKM) | event contribution
March 17, 2025 | Regensburg

Functional, mechanically resilient polymer and polymer-based nanocomposite films play an important role for strain gauges or organic light-emitting diode (OLED) displays [1-3]. The modelling and simulation workflow presented here enables the generation of disordered polymer systems 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 the properties of the polymer systems at different scales. [1] K. Grabowski, et al., Computational Materials Science, 135, 169*180, (2017) [2] R.
Luo, et al., Progress in Organic Coatings, 162, 106593 (2022) [3] L.
Liu, et al., Organic Electronics, 89, 106047 (2021)


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Multiscale Simulation Framework for Functional Polymer Systems


DPG Spring Meeting of the Condensed Matter Section (SKM) | event contribution
March 17, 2025 | Regensburg

Functional, mechanically resilient polymer and polymer-based nanocomposite films play an important role for strain gauges or organic light-emitting diode (OLED) displays [1-3]. The modelling and simulation workflow presented here enables the generation of disordered polymer systems 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 the properties of the polymer systems at different scales. [1] K. Grabowski, et al., Computational Materials Science, 135, 169*180, (2017) [2] R.
Luo, et al., Progress in Organic Coatings, 162, 106593 (2022) [3] L.
Liu, et al., Organic Electronics, 89, 106047 (2021)


Presenter

Authors

Related groups