cff-version: 1.2.0 abstract: "

Title of the Dataset

Compositional Flexibility in Irreducible Antifluorite Electrolytes for Next Generation Battery Anodes


Authors

Victor Landgraf, Mengfu Tu, Zhu Cheng, Alexandros Vasileiadis, Marnix Wagemaker*, Theodosios Famprikis*


Contact Information

Corresponding Authors:


Marnix Wagemaker

Email: m.wagemaker@tudelft.nl

Institution: Delft University of Technology, Faculty of Applied Sciences, Delft, Netherlands

Theodosios Famprikis

Email: t.famprikis@tudelft.nl

Institution: Delft University of Technology, Faculty of Applied Sciences, Delft, Netherlands


1. General Introduction

This directory contains raw data and scripts used to reproduce the analysis performed in the study titled: Compositional Flexibility in Irreducible Antifluorite Electrolytes for Next Generation Battery Anodes. The data and analysis are related to the investigation of lithium-ion conduction in antifluorite-type materials, with implications for next-generation battery anodes. The dataset is publicly available for further research purposes and to support the reproducibility of the publication.


2. Description of Files in this Directory

Bottleneck_size_calculations/:

This folder contains a Python script (bottleneck_size_analysis.py) used to analyze bottleneck sizes in the electrolyte structures. POSCAR files for molecular dynamics (MD) simulations are also included.

Format: .py, POSCAR


Example_Vasprun/:

A sample vasprun.xml file from one of the MD simulations carried out in this study.

Format: vasprun.xml


Jump_analysis/:

This folder includes a Python script (jump_analysis.py) that analyzes the MD trajectories and extracts individual lithium ion hops. It also contains the MD trajectories in a cached format (.cache) and initial structure files (POSCAR).

Format: .py, .cache, POSCAR


LSV/:

Linear Sweep Voltammetry (LSV) data for the electrolyte samples, presented in .mpr format.

Format: .mpr


Relative_Site_Energy_calculations/:

Python scripts (relative_site_energy_analysis.py) used to analyze the jump library and calculate relative site energies based on the forward and backward jump rates for each type of jump.

Format: .py


VASP_input_files/:

Example VASP input files (INCAR, KPOINTS, POTCAR) necessary to reproduce the MD calculations reported in this study.

Format: INCAR, KPOINTS, POTCAR


XRD_and_EIS/:

This folder includes impedance spectra in .txt format and the associated temperature-dependent analysis (Arrhenius fitting in .xlsx). Diffractograms in .xrdml, .dat, and .raw formats are provided, along with Python scripts (xrd_eis_analysis.py) for generating plots used in the manuscript.

Format: .txt, .xlsx, .xrdml, .dat, .raw, .py


3. Methodological Information

Data Collection and Processing Methods

Molecular Dynamics (MD) Simulations:

MD simulations were conducted using VASP (version 5.4), with the results stored in vasprun.xml and processed using Python scripts to analyze bottleneck sizes, lithium jumps, and relative site energies.


Experimental Data:

Linear Sweep Voltammetry (LSV) and X-Ray Diffraction (XRD) data were collected using commercially available instruments, and the results were processed using Python scripts and Microsoft Excel for temperature-dependent fitting.


Software Used

VASP (version 5.4): Used for MD simulations.

Python (version 3.10): Required to run the analysis scripts.

Microsoft Excel: Used for fitting Arrhenius plots.


Further methodological details in the associated manuscript: https://doi.org/10.26434/chemrxiv-2024-1d7pt


4. Sharing and Access Information

Licenses

Analysis scripts: Licensed under the Apache-2.0 license, allowing open use, modification, and distribution of the scripts.

Data files: Licensed under the CC-BY-NC-4.0 license, permitting reuse and redistribution for non-commercial purposes with proper attribution.

" authors: - family-names: Famprikis given-names: Theo orcid: "https://orcid.org/0000-0002-7946-1445" - family-names: Landgraf given-names: Victor - family-names: Wagemaker given-names: Marnix title: "Data underlying the publication: Compositional flexibility in irreducible antifluorite electrolytes for next generation battery anodes" keywords: version: 1 identifiers: - type: doi value: 10.4121/fcb46e92-06cd-4241-a97b-3390d6dc1f70.v1 license: Apache-2.0 date-released: 2024-10-22