Results 101 to 110 of about 2,970,923 (298)

Broken Power-law Distributions of Photospheric Magnetic Concentrations and Implications for Solar Dynamo

open access: yesThe Astrophysical Journal
Photospheric magnetic concentrations (MCs) are a direct manifestation of the solar dynamos that govern the solar magnetic field evolution and solar cycles. By studying the magnetic flux, spatial size, and magnetic energy of 2,941,532 MCs during 2011–2022,
Anchuan Song   +4 more
doaj   +1 more source

THE SUN 360 Solar Cycle Predictions (Invited Review)

open access: yes, 2011
Solar cycle predictions are needed to plan long-term space missions, just as weather predictions are needed to plan the launch. Fleets of satellites circle the Earth collecting many types of science data, protecting astronauts, and relaying information ...
W. Dean Pesnell, Solar Phys
core  

A solar-like magnetic cycle on the mature K-dwarf 61 Cyg A (HD 201091)

open access: yes, 2016
International audienceThe long-term monitoring of magnetic cycles in cool stars is a key diagnostic in understanding how dynamo generation and amplification of magnetic fields occur in stars similar in structure to the Sun.
S. C. Marsden   +33 more
core   +1 more source

Energetic Offset in Organic Solar Cells‐ Importance, Confusion and Outlook

open access: yesAdvanced Materials, EarlyView.
Energetic offsets in organic solar cells (OSCs) remain a subject of debate due to measurement‐ and lab‐dependent discrepancies. This Perspective clarifies the physical origins of these variations and identifies temperature‐dependent electro‐optical methods as a reliable approach to obtain consistent offset values.
Nakul Jain   +5 more
wiley   +1 more source

Multiple New or Updated Satellite Total Solar Irradiance (TSI) Composites (1978–2023)

open access: yesThe Astrophysical Journal
Several total solar irradiance (TSI) satellite missions have been carried out since 1978. None of these missions have lasted more than one to two solar cycles (SCs), and each mission implies a slightly different absolute TSI baseline.
Ronan Connolly   +7 more
doaj   +1 more source

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

open access: yesAdvanced 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

Time Variation of the Solar Tachocline

open access: yesThe Astrophysical Journal
We have used solar oscillation frequencies and frequency splittings obtained over solar cycles 23 and 24 and the rising phase of solar cycle 25 to investigate whether the tachocline properties (the change in the rotation rate across the tachocline. i.e.,
Sarbani Basu   +2 more
doaj   +1 more source

Development And test of a solar decomposer of sulphuric acid for thermochemical hydrogen production [PDF]

open access: yes, 2011
Decomposition of sulphuric acid is a key step of sulphur based thermochemical cycles for thermal splitting of water. These processes lower the temperature required for thermal water splitting from more than 2000°C to a technically manageable values below
Roeb, Martin   +6 more
core  

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

open access: yesAdvanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair   +3 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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