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Thermodynamic Modeling of Intrinsic Defects in MnBi₂Te₄

Dataset

Description

This repository contains the computational data supporting the manuscript titled “The critical role of intrinsic defects and many-body interactions on the stability of MnBi₂Te₄.”

It includes:

1. DFT data generated using VASP, used for training and benchmarking electronic structure models.
2. Quantum Monte Carlo (QMC) data produced with QMCPACK, used to apply many-body corrections and validate the electronic and magnetic properties of MnBi₂Te₄.
3. Relevant scripts used to run, analyze, and process the calculations, enabling reproducibility and transparency of the workflows.
Date made available2026
PublisherOak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Funding

FundersFunder number
Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division (MSE)AC05-00OR22725

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