Organic redox flow batteries offer a sustainable option for stationary energy storage [1]. However, optimizing battery efficiency and stability requires an understanding of the electrolyte behavior at the molecular level [2]. The structures and dynamics of electrolyte solutions were studied using classical molecular dynamics simulations and experiments in tandem. The simulations are performed with the LAMMPS software [3] using the nonpolarizable OPLS-AA force field [4] for all the neat molecular solvents and the CL&P force field for ionic liquids [5]. First, we characterized the bulk properties of the solvents (acetonitrile, 3-methoxypropionitrile) and of their mixtures with the ionic liquid EMIMTFSI. We compared the simulated structure factors from our model to the experimental X-ray scattering data. To further verify the model, we compared simulated transport properties (such as viscosity, diffusion coefficients, and ionic conductivity) and dielectric spectra to the experimental data to gain a full picture of how ions and molecules are transported. The simulations offer key insights into ion solvation, ion pairing, the role of solvent composition in larger-scale molecular ordering, and how the structures of ions and molecules dictate the dynamic behavior of the electrolyte. Future stages of this research will incorporate redox-active species and electrode–electrolyte interfaces, enabling us to gain deeper insight, address challenges such as the prevention of crossover, and ultimately improve battery performance.
The Role of Electrolyte Structure and Dynamics in Organic Redox Flow Battery: Molecular Dynamics Simulation
Farshad Nouri;Alessandro Mariani;Guido Raos
2026-01-01
Abstract
Organic redox flow batteries offer a sustainable option for stationary energy storage [1]. However, optimizing battery efficiency and stability requires an understanding of the electrolyte behavior at the molecular level [2]. The structures and dynamics of electrolyte solutions were studied using classical molecular dynamics simulations and experiments in tandem. The simulations are performed with the LAMMPS software [3] using the nonpolarizable OPLS-AA force field [4] for all the neat molecular solvents and the CL&P force field for ionic liquids [5]. First, we characterized the bulk properties of the solvents (acetonitrile, 3-methoxypropionitrile) and of their mixtures with the ionic liquid EMIMTFSI. We compared the simulated structure factors from our model to the experimental X-ray scattering data. To further verify the model, we compared simulated transport properties (such as viscosity, diffusion coefficients, and ionic conductivity) and dielectric spectra to the experimental data to gain a full picture of how ions and molecules are transported. The simulations offer key insights into ion solvation, ion pairing, the role of solvent composition in larger-scale molecular ordering, and how the structures of ions and molecules dictate the dynamic behavior of the electrolyte. Future stages of this research will incorporate redox-active species and electrode–electrolyte interfaces, enabling us to gain deeper insight, address challenges such as the prevention of crossover, and ultimately improve battery performance.| File | Dimensione | Formato | |
|---|---|---|---|
|
Farshad-Nouri-MolSim2026.pdf
accesso aperto
Dimensione
263.95 kB
Formato
Adobe PDF
|
263.95 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


