A theoretical study on the intercalation and diffusion of AlF3 in graphite: its application in rechargeable batteries

Literature Information

Publication Date 2021-08-26
DOI 10.1039/D1CP01855H
Impact Factor 3.676
Authors

Adriana E. Candia, Eduardo A. Albanesi, Gustavo D. Ruano


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Abstract

Using first-principles calculations based on density functional theory (DFT), we study the aluminum fluoride (AlF3) intercalation in graphite as a new possibility to use this molecule in rechargeable batteries, and understand its role when used as a component of the solvent. We discuss the most stable configuration of the AlF3 molecule in graphite for stage-2 and stage-1 and the diffusion study of the molecule, the migration pathways and the energy barriers. Our results show an average voltage of 3.18 V for stage-2 and 3.44 V for stage-1, which is excellent for anion intercalated batteries. Furthermore, low diffusion energy barriers of the AlF3 intercalant molecules were found (the lowest diffusion energy barrier was 0.17 eV with a diffusion constant in the order of 10āˆ’5 cm2 sāˆ’1), which could lead to fast (dis)charging of a battery based on AlF3. The present study provides important information to understand the intercalation mechanism of AlF3 graphite layer electrodes, thus encouraging more experimental studies of this system.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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