Asif Mahmood
0000-0001-9412-1011
Publication & Citation Trends
Most Cited Works
Publications
117 total
Easy and fast prediction of green solvents for small molecule donor-based organic solar cells through machine learning
Cited by 124
OpenAlex
Controlling Morphology and Voltage Loss with Ternary Strategy Triggers Efficient All-Small-Molecule Organic Solar Cells
Cited by 119
OpenAlex
Machine learning and molecular dynamics simulation-assisted evolutionary design and discovery pipeline to screen efficient small molecule acceptors for PTB7-Th-based organic solar cells with over 15% efficiency
Cited by 186
OpenAlex
A time and resource efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT-based organic solar cells and green solvent selection
Cited by 202
OpenAlex
A Synergistic Strategy of Manipulating the Number of Selenophene Units and Dissymmetric Central Core of Small Molecular Acceptors Enables Polymer Solar Cells with 17.5 % Efficiency
Cited by 173
OpenAlex
Non-fullerene acceptors with hetero-dihalogenated terminals induce significant difference in single crystallography and enable binary organic solar cells with 17.5% efficiency
Cited by 157
OpenAlex
Developing Efficient Small Molecule Acceptors with sp<sup>2</sup>‐Hybridized Nitrogen at Different Positions by Density Functional Theory Calculations, Molecular Dynamics Simulations and Machine Learning
Cited by 134
OpenAlex
Research Topics
Organic Electronics and Photovoltaics
(46)
Conducting polymers and applications
(40)
Perovskite Materials and Applications
(22)
Nonlinear Optical Materials Research
(12)
Machine Learning in Materials Science
(10)
Frequent Co-Authors
Affiliations
Beijing Institute of Technology
University of Sargodha
University of Karachi
Center for NanoScience
King Saud University