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Lead-free perovskites for next-generation applications: a comprehensive computational and data-driven review

Syeda Kinza Fatima, Reem H. Alzard, Riffat Amna, Mohamed H. Alzard, Kaibo Zheng, Mohamed Abdellah

2025Materials Advances14 citationsDOIOpen Access PDF

Abstract

Data-driven frameworks link methods, materials, and applications in LFP research. DFT, HT screening, and ML enable predictive design and broad uses. The field is advancing toward autonomous AI-guided discovery pipelines.

Topics & Concepts

Lead (geology)Perovskite (structure)Computer scienceNanotechnologyMaterials scienceSystems engineeringRisk analysis (engineering)Data scienceEngineeringBusinessGeologyChemical engineeringGeomorphologyPerovskite Materials and ApplicationsMagnetic and transport properties of perovskites and related materialsQuantum Dots Synthesis And Properties
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