Author

Asmat Ullah

Institutions: Qurtuba University of Science and Information Technology, King Abdullah University of Science and Technology

Observed institutions: Qurtuba University of Science and Information Technology, King Abdullah University of Science and Technology

ORCID: 0009-0004-1915-0102

Observed ORCID: 0009-0004-1915-0102

OpenAlex ID: A5115066028

Machine-Learning-Assisted Design of Buried-Interface Engineering Materials for High-Efficiency and Stable Perovskite Solar Cells

2024 · Qi Zhang, Han Wang, et al. · ACS Energy Letters · 59

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

2026 · Asmat Ullah, Ying Luo, et al. · Advanced Materials · 28

Practical Fill Factor Limits for Perovskite Solar Cells

2024 · Arsalan Razzaq, Asmat Ullah, et al. · ACS Energy Letters · 21

Improved Crystallinity and Efficiency in Perovskite Solar Cells through Layered Hybrid Deposition

2024 · Asmat Ullah, Badri Vishal, et al. · ACS Energy Letters · 12

Role of Electrolyte Concentration Enduring the Supercapacitor Performance of Tin Oxide‐Graphene Nanoplatelets‐Polyaniline Nanocomposite

2026 · Ali Hassan, Tashfeen Ahmed, et al. · Energy Technology · 3

Machine-Learning-Guided Design of Semirigid Hole-Selective Self-Assembled Monolayers for High-Efficiency and Stable Perovskite Solar Cells

2026 · Qi Zhang, Asmat Ullah, et al. · Journal of the American Chemical Society

Works count: 6

Citation count: 123

H-index: 4

I10-index: 4