Results 51 to 60 of about 38,432,328 (304)

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

open access: yesAdvanced 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

An AI-ready Stellar Dataset Assembled from LAMOST DR11

open access: yesThe Astrophysical Journal Supplement Series
We present a clean, homogeneous, and AI-ready stellar dataset assembled from LAMOST DR11 low-resolution spectra, tailored for data-driven models. This dataset contains 111,417 high-quality spectra for 91,542 AFGK-type stars, with stellar labels such as T
Bing Du   +10 more
doaj   +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

Astronomy & Astrophysics (CAUCASUS)-VOLUME 1

open access: yes, 2016
                                                                        ...
(CAUCASUS), Astronomy & Astrophysics
core   +1 more source

Efficient Searches for Small Signals across Two-channel Noisy Data: A Challenge in Big-data Observations

open access: yesThe Astrophysical Journal Supplement Series
Searching for novel small signals in noisy data is preferably pursued by correlation in two or more independently operating channels. Signals of potential interest exist in tails beyond κσ , where κ denotes a multiple of the standard deviation σ of the ...
Maryam Aghaei Abchouyeh   +2 more
doaj   +1 more source

Measuring the Hall Effect in Hysteretic Materials

open access: yesAdvanced Materials, EarlyView.
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya   +6 more
wiley   +1 more source

Estimating Stellar Atmospheric Parameters and [α/Fe] for LAMOST O-M-type Stars Using a Spectral Emulator

open access: yesThe Astrophysical Journal Supplement Series
In this paper, we developed a spectral emulator based on the Mapping Nearby Galaxies at Apache Point Observatory Stellar Library (MaStar) and a grouping optimization strategy to estimate effective temperature ( T _eff ), surface gravity (log g ...
Jun-Chao Liang   +9 more
doaj   +1 more source

Weak In‐Plane Ferromagnetism and Electronic Nematicity in the Distorted Triple‐Q Magnetic Phase of Co1/3TaS2

open access: yesAdvanced Materials, EarlyView.
Co1/3TaS2${\rm Co}_{1/3}{\rm TaS}_{2}$ hosts a triple‐Q noncoplanar antiferromagnetic state with coexisting Z3${\rm Z}_3$ electronic nematicity. We report rotational hysteresis observed in both magnetoresistance and magnetic torque, revealing strongly pinned in‐plane weak ferromagnetic moments in the triple‐Q phase and the magnetism‐driven nature of ...
Joonyoung Choi   +5 more
wiley   +1 more source

Epidemic risk perception and social interactions lead to awareness cascades on multiplex networks

open access: yesJournal of Physics: Complexity
The course of an epidemic is not only shaped by infection transmission over face-to-face contacts, but also by preventive behaviour caused by risk perception and social interactions.
Tim Van Wesemael   +2 more
doaj   +1 more source

Making Pattern Mining Useful [PDF]

open access: yes, 2009
The discovery of patterns plays an important role in data mining. A pattern can be any type of regularity displayed in that data, such as, e.g. which items are typically sold together, which genes are mostly active for patients of a certain disease, etc,
Algorithmic Data Analysis   +4 more
core   +2 more sources

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