Atomic Statistics and Mean Atomic Energy Dataset for Screened 2D Materials from C2DB

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Authors: 罗树林, Muhammad Faizan, 吴桂选
Cited by: 0

Abstract

This dataset was constructed based on the latest version of the C2DB database. The original two-dimensional materials were subjected to multiple screening criteria, including structural stability, thermodynamic stability, and non-magnetic constraints, to obtain a candidate material set that meets the research requirements.Subsequently, Python scripts were employed to batch-parse the screened structural files, count the total number of atoms in the unit cell of each material, and calculate the mean atomic energy (mean_energy) for each material based on the corresponding total energy data.The dataset is stored in Excel format. In the file:The first column represents the unique structure identifier (uid) of each material in the C2DB database;The remaining columns contain the statistical results and the calculated mean atomic energy (mean_energy), along with related data.This dataset can be used for stability analysis of two-dimensional materials, energy normalization modeling, and machine learning model training and validation.

Fields of Study & Subjects

Machine Learning in Materials Science 2D Materials and Applications Advanced Chemical Physics Studies

Publication details

Journal / source
ScienceDB
Publication date
27 February 2026
Language
EN
Document type
Dataset