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Showing 6 of 6 academic articles

Machine Learning–Based Prediction of Organic Solar Cell Performance Using Molecular Descriptors

Mohammed Saleh Alshaikh • International Journal of Emerging Research in Engineering, Science, and Management (2025)

The performance of Organic Solar Cells (OSCs) is intrinsically linked to the molecular, electronic, and structural properties of donor and acceptor materials. This study employs various machine learning techniques, namely the Generalized Re...

DOAJ Open Access (DOAJ) DOI: 10.58482/ijeresm.v4i4.4

Impact of solvents on doctor blade coatings and bathocuproine cathode interlayer for large-area organic solar cell modules

Soonil Hong, Byoungwook Park, Chandran Balamurugan, Jinho Lee et al. • Heliyon (2023)

Efforts to commercialize organic solar cells (OSCs) by developing roll-to-roll compatible modules have encountered challenges in optimizing printing processes to attain laboratory-level performance in fully printable OSC architectures. In t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.heliyon.2023.e18209

Analyzing the Transparency and the Efficiency of Innovative Transparent Electrodes for Space Solar Cell Applications

Francesco Cipriani, Maksim Shundalau, Patrizia Lamberti • Engineering Proceedings (2026)

In this work a study about the behavior of nanomaterial-based innovative transparent electrodes is presented, with a special focus on graphene, for space photovoltaic applications, in particular their transparency and the efficiency of the ...

DOAJ Open Access (DOAJ) DOI: 10.3390/engproc2026133130

Voltage Stability and Power Sharing Control of Distributed Generation Units in DC Microgrids

Kafeel Ahmed, Irfan Hussain, Mehdi Seyedmahmoudian, Alex Stojcevski et al. • Energies (2023)

Advancements in power conversion efficiency and the growing prevalence of DC loads worldwide have underscored the importance of DC microgrids in modern energy systems. Addressing the challenges of power-sharing and voltage stability in thes...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16207038

Data-driven performance prediction of polymer solar cells using multi-layer perceptron with Bayesian hyperparameter tuning

Sun Ping • Materials Research Express (2026)

Polymer solar cells (PSCs) rely on labor-intensive trial-and-error experiments to optimize power conversion efficiency (PCE), due to complex coupling of molecular electronic properties, blend morphology and fabrication parameters. This work...

DOAJ Open Access (DOAJ) DOI: 10.1088/2053-1591/aeaacc