Modelling proton transfer in [HEIM][TFSI] ionic liquid

Protic ionic liquids, PILs, are promising materials for energy storage applications, in part due to their ability to decouple proton transport from ion diffusion. In this work, we model the proton transfer mechanism in 1-ethylimidazolium bis(trifluoromethanesulfonyl)imide ([HEIM][TFSI]) IL by means of Neural Network Force Field simulations. The latter are combined with classi- cal polarizable molecular dynamics simulations to explore the structure and dynamics of the fully ionized system and Density Functional Theory calculations to estimate the energy barriers for the different proton transfer reactions. Our results show that proton transfer is indeed possible when doping the ionic liquid with an excess of deprotonated cations, but not with an excess of proto- nated anions. We highlight the importance of the formation of dimers between donor and acceptor species for the the reaction to occur, and we identify the main driving factor for the reaction to be the energy cost for reaching a suitable coordination environment and form such dimers, which is higher than that for the transfer reaction. • Proton transfer in [HEIM][TFSI] ionic liquid is studied using Neural Network Force Field simulations, complemented by polarisable molecular dynamics and DFT calculations. • Proton transfer occurs when doping the ionic liquid with excess deprotonated cations, but not with excess protonated anions. • Hydrogen bonding patterns enable proton transfer, particularly via the formation of [EIM]– [HEIM] + dimers.

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Publication Details

Journal
Materials Today Energy
Published
2025-08-18
DOI
https://doi.org/10.1016/j.mtener.2025.102018
Citations
1
Primary Topic
Ionic liquids properties and applications
Type
article
Field-Weighted Citation Impact
0.39
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article

Modelling proton transfer in [HEIM][TFSI] ionic liquid

Luis M. Varela, Mathieu Salanne, Kateryna Goloviznina, Hadrián Montes‐Campos et al.
1 citations
Materials Today Energy
Ionic liquids properties and applications
0.39
article

Modelling proton transfer in [HEIM][TFSI] ionic liquid

Luis M. Varela, Mathieu Salanne, Kateryna Goloviznina, Hadrián Montes‐Campos, Alessandra Serva, Martín Otero-Lema
article en
1 citations

Abstract

Protic ionic liquids, PILs, are promising materials for energy storage applications, in part due to their ability to decouple proton transport from ion diffusion. In this work, we model the proton transfer mechanism in 1-ethylimidazolium bis(trifluoromethanesulfonyl)imide ([HEIM][TFSI]) IL by means of Neural Network Force Field simulations. The latter are combined with classi- cal polarizable molecular dynamics simulations to explore the structure and dynamics of the fully ionized system and Density Functional Theory calculations to estimate the energy barriers for the different proton transfer reactions. Our results show that proton transfer is indeed possible when doping the ionic liquid with an excess of deprotonated cations, but not with an excess of proto- nated anions. We highlight the importance of the formation of dimers between donor and acceptor species for the the reaction to occur, and we identify the main driving factor for the reaction to be the energy cost for reaching a suitable coordination environment and form such dimers, which is higher than that for the transfer reaction. • Proton transfer in [HEIM][TFSI] ionic liquid is studied using Neural Network Force Field simulations, complemented by polarisable molecular dynamics and DFT calculations. • Proton transfer occurs when doping the ionic liquid with excess deprotonated cations, but not with excess protonated anions. • Hydrogen bonding patterns enable proton transfer, particularly via the formation of [EIM]– [HEIM] + dimers.

Materials Today EnergyVol. 53
Centre National de la Recherche Scientifique (FR), Institut Universitaire de France (FR), Universidade de Santiago de Compostela (ES), Sorbonne Université (FR), Réseau sur le Stockage Electrochimique de l'énergie (FR), PHENIX laboratory (FR)
Openalex Percentile: Top 41%
Ionic liquids properties and applications
0.39
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