Asif Mahmood

Beijing Institute of Technology — China

Engineering · Physical Sciences

51h-index6.7kcitations116works9.72yr avg
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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)

Publications116 total

Microstructure-based interior cracking behavior of α + β titanium alloy under two stress ratios and intermediate temperature in the very high-cycle fatigue regime
Journal of Materials Science·2024· 2 cited
Multi-scale study of subsurface fatigue cracking behavior of laser-powder bed fused Inconel 718 at stress ratios and temperatures
Materials Science and Engineering A·2024· 10 cited
Fatigue cracking behavior and life assessment of TC11 titanium alloy in very high cycle regime at two working temperatures
Engineering Failure Analysis·2024· 13 cited
Machine learning assisted designing of Y-series small molecule acceptors: Library generation and property prediction
Journal of Photochemistry and Photobiology A Chemistry·2024· 47 cited
Chemical similarity-based design of materials for organic solar cells: Visualizing the generated chemical space of polymers
Materials Today Communications·2024· 39 cited
CCDC 2183301: Experimental Crystal Structure Determination
The Cambridge Structural Database·2023Open Access
CCDC 2183317: Experimental Crystal Structure Determination
The Cambridge Structural Database·2023Open Access
CCDC 2183303: Experimental Crystal Structure Determination
The Cambridge Structural Database·2023Open Access
Optimized Crystal Framework by Asymmetric Core Isomerization in Selenium‐Substituted Acceptor for Efficient Binary Organic Solar Cells
Angewandte Chemie·2023· 4 cited
Optimized Crystal Framework by Asymmetric Core Isomerization in Selenium‐Substituted Acceptor for Efficient Binary Organic Solar Cells
Angewandte Chemie International Edition·2023· 66 cited
Towards estimation and mechanism of CO2 adsorption on zeolite adsorbents using molecular simulations and machine learning
Materials Today Communications·2023· 25 cited
Controlling Morphology and Voltage Loss with Ternary Strategy Triggers Efficient All-Small-Molecule Organic Solar Cells
ACS Energy Letters·2023· 117 cited
Double Asymmetric Core Optimizes Crystal Packing to Enable Selenophene‐based Acceptor with Over 18 % Efficiency in Binary Organic Solar Cells
Angewandte Chemie·2023· 10 citedOpen Access
Double Asymmetric Core Optimizes Crystal Packing to Enable Selenophene‐based Acceptor with Over 18 % Efficiency in Binary Organic Solar Cells
Angewandte Chemie International Edition·2023· 99 cited
Easy and fast prediction of green solvents for small molecule donor-based organic solar cells through machine learning
Physical Chemistry Chemical Physics·2023· 123 cited
Regioisomer‐Free Difluoro‐Monochloro Terminal‐based Hexa‐Halogenated Acceptor with Optimized Crystal Packing for Efficient Binary Organic Solar Cells
Angewandte Chemie·2022· 11 citedOpen Access
Regioisomer‐Free Difluoro‐Monochloro Terminal‐based Hexa‐Halogenated Acceptor with Optimized Crystal Packing for Efficient Binary Organic Solar Cells
Angewandte Chemie International Edition·2022· 102 cited
A Random Terpolymer Donor with Similar Monomers Enables 18.28% Efficiency Binary Organic Solar Cells with Well Polymer Batch Reproducibility
ACS Energy Letters·2022· 87 cited
Machine Learning for Organic Photovoltaic Polymers: A Minireview
Chinese Journal of Polymer Science·2022· 159 cited
A ROBUST THREE-STAGE HYBRID FRAMEWORK FOR ENGLISH TO BANGLA TRANSLITERATION
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
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Frequent Co-authors

Jin‐Liang Wang(16), Ahmad Irfan(9), Muhammad Ramzan Saeed Ashraf Janjua(8), Qiaoshi An(7), Ailing Tang(6), Erjun Zhou(6), Hong‐Fu Zhi(6), Mengyun Jiang(6), Han Young Woo(5), Salah Ud‐Din Khan(5), Mudassir Hussain Tahir(5), Xiaochen Wang(4), Can Yang(4), Hairui Bai(4), Muhammad Faizan Nazar(4), Muhammad Imran Abdullah(4), Bo Xiao(3), Xin Zhao(3), Yan Lü(3), Usman Ali Rana(3)