yongxinlyu/inverse-design-2d-perovskites: v1.0.0 – Code and data for inverse design of 2D DJ perovskites
Abstract
This release provides the code and processed datasets supporting the manuscript: "Fingerprinting Organic Molecules for the Inverse Design of Two-Dimensional Hybrid Perovskites with Target Energetics" The release includes: Molecular fingerprinting and morphing code Machine-learning models for HOMO/LUMO prediction Synthesis feasibility screening tools Final candidate lists corresponding to Tables S4–S6 This version corresponds to the snapshot archived on Zenodo and should be used for citation and reproduction.
Fields of Study & Subjects
Machine Learning in Materials Science
Perovskite Materials and Applications
Advanced Chemical Physics Studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 18 January 2026