Soft Matter and Complex Systems Seminar

Low-dimensional ionotronic systems exhibit captivating physics and find a range of technological applications, from capacitive energy storage and conversion to desalination and electroactuation. Despite their promise, these systems present significant challenges for investigation due to their inherent complexity and computational limitations [1]. In this talk, we will explore the application of analytically solvable statistical physics models to the study of nanostructured ionotronic systems. I will present insights from both lattice [2,3] and off-lattice [4] models, emphasizing their differences and relevance to phenomena such as ion ordering [5], quantum capacitance effects [6], and strategies for optimizing the performance of ionotronic-based devices [7,8,9]. I will particularly highlight results that are challenging to achieve with widely used molecular simulations, showcasing the unique utility and power of analytically solvable models.

Acknowledgements: This work was supported by the Polish National Science Centre (NCN) under grants Nos. 2021/40/Q/ST4/00160 and 2020/39/I/ST3/02199.

References
[1] Kondrat, Feng, Bresme, Urbach, and Kornyshev, Chem. Rev. 123, 6668 (2023)
[2] Kornyshev, Faraday. Disc. 164, 117-133 (2013)
[3] Lee, Kondrat, and Kornyshev, Phys Rev Lett. 113, 048701 (214)
[4] Verkholyak, Kuzmak, and Kondrat, J. Chem. Phys. 155, 174112 (2021)
[5] Groda, Dudka, Kornyshev, Oshanin, and Kondrat, J. Phys. Chem C. 125, 4968 (2021)
[6] Verkholyak, Kuzmak, Kornyshev, and Kondrat, J. Chem. Phys. Lett. 13, 10976 (2023)
[7] Janssen, Verkholyak, Kuzmak, Kondrat, J. Mol Liq. 371, 121093 (2023).
[8] Seltmann, Verkholyak, Gołowicz, Pameté, Kuzmak, Presser, and Kondrat, J. Mol. Liq. 391, 123369 (2023).
[9] Paolini, Antony, Raju, Kuzmak, Verkholyak, Kondrat, ChemElectroChem, e202400218 (2024).