Topological feature engineering for machine learning based halide perovskite materials design

• Main Authors: Anand, D. Vijay, Xu, Qiang, Wee, Junjie, Xia, Kelin, Sum, Tze Chien
• Other Authors: School of Physical and Mathematical Sciences
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Physics; Feature Engineering; Halide Perovskites
• Online Access: https://hdl.handle.net/10356/165413
• Institution: Nanyang Technological University

Accelerated materials development with machine learning (ML) assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy challenges. Data-driven ML is envisaged as a decisive enabler for new perovskite materials discovery. Howeve...