A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models
A Bhansali, N Narasimhulu, R Pérez de Prado… - Energies, 2023 - mdpi.com
Today, methodologies based on learning models are utilized to generate precise conversion
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
techniques for renewable sources. The methods based on Computational Intelligence (CI) …
Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells
Organic solar cells (OSCs) have witnessed significant improvement in power conversion
efficiency (PCE) in the last decade. The structural flexibility of organic semiconductors …
efficiency (PCE) in the last decade. The structural flexibility of organic semiconductors …
Effect of tailoring π-linkers with extended conjugation on the SJ-IC molecule for achieving high V OC and improved charge mobility towards enhanced photovoltaic …
H Zubair, RF Mahmood, M Waqas, M Ishtiaq, J Iqbal… - RSC …, 2023 - pubs.rsc.org
The problem of low efficiency of organic solar cells can be solved by improving the charge
mobility and open circuit voltage of these cells. The current research aims to present the role …
mobility and open circuit voltage of these cells. The current research aims to present the role …
Modified optoelectronic parameters by end-group engineering of ADA type non-fullerene-based small symmetric acceptors constituting IBDT core for high …
End-chain exploration of Non-Fullerene Acceptors is an efficient approach to amplify the
photovoltaic properties of organic solar cells (OSCs). This green energy technology has …
photovoltaic properties of organic solar cells (OSCs). This green energy technology has …
A DFT study for improving the photovoltaic performance of organic solar cells by designing symmetric non-fullerene acceptors by quantum chemical modification on …
Minimizing the energy loss and improving the open circuit voltage of organic solar cells is
still a primary concern for scientists working in this field. With the aim to enhance the …
still a primary concern for scientists working in this field. With the aim to enhance the …
Designing dibenzosilole core based, A 2–π–A 1–π–D–π–A 1–π–A 2 type donor molecules for promising photovoltaic parameters in organic photovoltaic cells
In this research work, four new molecules from the π–A–π–D–π–A–π type reference
molecule “DBS-2PP”, were designed for their potential application in organic solar cells by …
molecule “DBS-2PP”, were designed for their potential application in organic solar cells by …
Designing of novel organic semiconductors materials for organic solar cells: A machine learning assisted proficient pipeline
Typical research design associated with organic solar cells (OSCs) is conventionally
considered time-consuming and laborious because the selection of the materials as the …
considered time-consuming and laborious because the selection of the materials as the …
Machine learning study of D: A1: A2 ternary organic solar cells
JH Li, CR Zhang, ML Zhang, XM Liu, JJ Gong… - Organic …, 2024 - Elsevier
Introducing third component into donor: acceptor heterojunction provide new dimension to
improve power conversion efficiency of organic solar cells (OSCs). However, the combining …
improve power conversion efficiency of organic solar cells (OSCs). However, the combining …
Machine learning framework for the analysis and prediction of energy loss for non-fullerene organic solar cells
The efficiency of organic solar cells (OSCs) has been improved more than 19% recently with
the development of non-fullerene acceptor materials. Further improvement is still attainable …
the development of non-fullerene acceptor materials. Further improvement is still attainable …
Unveiling symmetry: a comparative analysis of asymmetric and symmetric non-fullerene acceptors in organic solar cells
This study investigates the design and analysis of symmetric and asymmetric non-fullerene
acceptors (NFAs), focusing on the burgeoning interest in asymmetric NFAs due to their …
acceptors (NFAs), focusing on the burgeoning interest in asymmetric NFAs due to their …