Performance analysis of perovskite solar cells in 2013–2018 using machine-learning tools

Nano Energy ◽

10.1016/j.nanoen.2018.11.069 ◽

2019 ◽

Vol 56 ◽

pp. 770-791 ◽

Cited By ~ 23

Author(s):

Çağla Odabaşı ◽

Ramazan Yıldırım

Keyword(s):

Machine Learning ◽

Solar Cells ◽

Performance Analysis ◽

Perovskite Solar Cells ◽

Learning Tools

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Machine Learning Approach to Performance Analysis of Perovskite Solar Cells

10.29363/nanoge.nipho.2019.028 ◽

2018 ◽

Author(s):

Çağla Odabaşı ◽

Ramazan Yildirim

Keyword(s):

Machine Learning ◽

Solar Cells ◽

Performance Analysis ◽

Perovskite Solar Cells ◽

Learning Approach ◽

Machine Learning Approach

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Performance analysis of several electron/hole transport layers in thin film MAPbI3-based perovskite solar cells: A simulation study

Optical Materials ◽

10.1016/j.optmat.2021.111258 ◽

2021 ◽

Vol 118 ◽

pp. 111258

Author(s):

Hamed Abnavi ◽

Daniyal Khosh Maram ◽

Amin Abnavi

Keyword(s):

Thin Film ◽

Solar Cells ◽

Performance Analysis ◽

Simulation Study ◽

Perovskite Solar Cells ◽

Hole Transport ◽

Electron Hole ◽

Hole Transport Layers

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Advanced machine learning tools based on energy management and economic performance analysis of a microgrid connected to the utility grid

International Journal of Energy Research ◽

10.1002/er.6764 ◽

2021 ◽

Author(s):

Mostafa Al‐Gabalawy

Keyword(s):

Machine Learning ◽

Performance Analysis ◽

Energy Management ◽

Economic Performance ◽

Learning Tools ◽

Utility Grid

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Is machine learning redefining the perovskite solar cells?

Journal of Energy Chemistry ◽

10.1016/j.jechem.2021.07.020 ◽

2021 ◽

Author(s):

Nishi Parikh ◽

Meera Karamta ◽

Neha Yadav ◽

Mohammad Mahdi Tavakoli ◽

Daniel Prochowicz ◽

...

Keyword(s):

Machine Learning ◽

Solar Cells ◽

Perovskite Solar Cells

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Device modeling and performance analysis of perovskite solar cells based on similarity with inorganic thin film solar cells structure

2016 2nd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) ◽

10.1109/icecte.2016.7879585 ◽

2016 ◽

Cited By ~ 1

Author(s):

Md. Faruk Hossain ◽

Mohammad Faisal ◽

Hiroyuki Okada

Keyword(s):

Thin Film ◽

Solar Cells ◽

Performance Analysis ◽

Perovskite Solar Cells ◽

Thin Film Solar Cells ◽

Device Modeling ◽

And Performance

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Machine Learning Accelerates the Discovery of Light-Absorbing Materials for Double Perovskite Solar Cells

The Journal of Physical Chemistry C ◽

10.1021/acs.jpcc.1c07262 ◽

2021 ◽

Author(s):

Zhenqing Yang ◽

Yanbing Liu ◽

Yunqian Zhang ◽

Liqun Wang ◽

Chundan Lin ◽

...

Keyword(s):

Machine Learning ◽

Solar Cells ◽

Perovskite Solar Cells ◽

Double Perovskite ◽

Absorbing Materials

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Comprehensive Device Modeling and Performance Analysis of Quantum Dot-Perovskite Solar Cells

Journal of Electronic Materials ◽

10.1007/s11664-021-09409-2 ◽

2022 ◽

Author(s):

Iraban Mukherjee ◽

Srest Somay ◽

Saurabh Kumar Pandey

Keyword(s):

Solar Cells ◽

Performance Analysis ◽

Quantum Dot ◽

Perovskite Solar Cells ◽

Device Modeling ◽

And Performance

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Natively textured surface of Ga-doped ZnO films electron transporting layer for perovskite solar cells: further performance analysis from device simulation

Journal of Materials Science Materials in Electronics ◽

10.1007/s10854-019-00766-7 ◽

2019 ◽

Vol 30 (5) ◽

pp. 4726-4736 ◽

Cited By ~ 3

Author(s):

Yichuan Chen ◽

Yuehui Hu ◽

Qi Meng ◽

Hui Yan ◽

Weiqiang Shuai ◽

...

Keyword(s):

Solar Cells ◽

Performance Analysis ◽

Perovskite Solar Cells ◽

Device Simulation ◽

Zno Films ◽

Textured Surface ◽

Electron Transporting Layer ◽

Doped Zno

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Perovskite Solar Cells: Predictions and Strategies Learned from Machine Learning to Develop High‐Performing Perovskite Solar Cells (Adv. Energy Mater. 46/2019)

Advanced Energy Materials ◽

10.1002/aenm.201970181 ◽

2019 ◽

Vol 9 (46) ◽

pp. 1970181 ◽

Cited By ~ 3

Author(s):

Jinxin Li ◽

Basudev Pradhan ◽

Surya Gaur ◽

Jayan Thomas

Keyword(s):

Machine Learning ◽

Solar Cells ◽

Perovskite Solar Cells ◽

High Performing ◽

Energy Mater

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Performance Analysis of Perovskite Solar Cells Using DFT-Extracted Parameters of Metal-Doped TiO2 Electron Transport Layer

The Journal of Physical Chemistry C ◽

10.1021/acs.jpcc.1c02302 ◽

2021 ◽

Author(s):

Sadiq Shahriyar Nishat ◽

Md. Jayed Hossain ◽

Faiyaz Elahi Mullick ◽

Alamgir Kabir ◽

Shaestagir Chowdhury ◽

...

Keyword(s):

Solar Cells ◽

Electron Transport ◽

Performance Analysis ◽

Perovskite Solar Cells ◽

Transport Layer ◽

Electron Transport Layer ◽

Doped Tio2 ◽

Metal Doped

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