Maher B. Alghalayini

Lawrence Berkeley National Laboratory

Papers

1

Total Citations

11

H-Index

1

About

Maher B. Alghalayini is a pioneering researcher at the intersection of artificial intelligence and advanced materials science, with a core focus on accelerating the discovery of metal halide perovskites (MHPs) through self-driving laboratories. His most influential work, "AI‐Driven Robot Enables Synthesis‐Property Relation Prediction for Metal Halide Perovskites in Humid Atmosphere" (2025), demonstrates a groundbreaking Materials Acceleration Platform (MAP) that integrates robotic synthesis with machine learning to predict material properties under realistic, humid conditions—a critical challenge for perovskite stability. This work, already garnering 11 citations shortly after publication, exemplifies his major contribution: replacing slow trial-and-error methods with autonomous, AI-guided experimentation that can dramatically speed up the development of next-generation photovoltaic materials. By enabling robots to both synthesize and analyze MHPs in real time, Alghalayini is helping to bridge the gap between laboratory discovery and commercial viability. His research holds particular promise for creating more durable and efficient solar cells, positioning him as a rising leader in the field of autonomous materials discovery and sustainable energy technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
AI‐Driven Robot Enables Synthesis‐Property Relation Prediction for Metal Halide Perovskites in Humid Atmosphere
11 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Lawrence Berkeley National Laboratory

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago