Results 51 to 60 of about 24,566 (257)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Efficient single and dual axis solar tracking system controllers based on adaptive neural fuzzy inference system

Journal of King Saud University: Engineering Sciences, 2020
Artificial Intelligence is widely used in solar applications. Adaptive Neural Fuzzy Inference System (ANFIS) principle is one of the intelligent techniques that is sufficient to be used in control systems.
Nadia AL-Rousan, Nor Ashidi Mat Isa, Mohd Khairunaz Mat Desa   +2 more
doaj   +1 more source

Study of Vertically Oriented Solar Battery by Exposure of Concentrated Solar Radiation

Science & Technique, 2023
Solar power is one of the largest sectors of the global electric and heat power industry. In search of new energy sources, scientists and engineers around the world are increasingly turning their attention to solar batteries, which can be a suitable replacement for non-renewable energy sources.
Esman, A. K., Zykov, G. L., Potachits, V. A., Kuleshov, V. K.   +3 more
openaire   +2 more sources

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Effect of adjusting orientation for solar energy applications in multiple climatic zones

Mehran University Research Journal of Engineering and Technology
South-facing collectors are the optimum choice for solar applications in the northern hemisphere. However, obstacles may limit the feasibility of this orientation. Therefore, altering the orientation of the collector impacts solar insolation.
Muhammad Uzair Yousuf, Muhammad Umair, Muhammad Rehan, Zulfiqar Ali Umrani   +3 more
doaj   +1 more source

Feasibility Study of Self-Sufficient Solar Cooling Façade Applications in Different Warm Regions

Energies, 2018
Small-scale systems and integrated concepts are currently being explored to promote the widespread application of solar cooling technologies in buildings.
Alejandro Prieto, Ulrich Knaack, Thomas Auer, Tillmann Klein   +3 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells

Advanced Materials, EarlyView.
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang, Christopher Wöpke, Toni Seiler, Jared Faisst, Mathias List, Meike Kuhn, Bekcy Joseph, Alexander Ehm, Dietrich R. T. Zahn, Yana Vaynzof, Eva M. Herzig, Roderick C. I. Mackenzie, Uli Würfel, Maria Saladina, Carsten Deibel   +14 more
wiley   +1 more source

Towards Sustainable Urban Energy: A Robust Deep Learning Framework for Solar Potential Estimation [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Rooftop photovoltaic is considered as a cost-effective and environmentally friendly solution to energy challenges in urban areas. To ensure photovoltaic efficiency, it is essential to accurately estimate rooftop solar potential and deploy solar panels ...
W. Lin, J. Zhu, Y. Hua, Q. Li, L. Mou, X. X. Zhu   +5 more
doaj   +1 more source