Results 51 to 60 of about 657 (262)

The Mass Dependence of Hα Emission and Stellar Spindown for Fully Convective M Dwarfs

open access: yesThe Astrophysical Journal
Fully convective M dwarfs typically remain rapidly rotating and magnetically active for billions of years, followed by an abrupt and mass-dependent transition to slow rotation and quiescence.
Emily K. Pass   +6 more
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

The Influence of Chromospheric Activity on Line Formation

open access: yesThe Astrophysical Journal
One of the primary sources of stellar spectral variability is magnetic activity. While our current understanding of chromospheric activity is largely derived from specific lines sensitive to chromospheric heating, such as the Ca ii H and K doublet ...
Mariela C. Vieytes   +2 more
doaj   +1 more source

Extending the Search for Counterrotating Gas and Stars in Galaxies: A Study of Late-Type Dwarfs

open access: yes, 2005
In a previous study on gas-stellar counterrotation for a large sample of E/S0 and spiral galaxies (Kannappan & Fabricant 2001), two dwarf irregular galaxies were included, of which one was tentatively identified as a counterrotator. Here we extend the search for counterrotation to include 10 more irregular/spiral dwarf galaxies.
Guie, J. M.   +3 more
openaire   +2 more sources

AFar Ultraviolet Spectroscopic ExplorerSurvey of Late‐Type Dwarf Stars

open access: yesThe Astrophysical Journal, 2002
We describe the 910-1180 Aspectra of seven late-type dwarf stars obtained with the Far Ultraviolet Spec- troscopic Explorer (FUSE) satellite. The stars include Altair (A7 IV), Procyon (F5 IV-V), Cen A (G2 V), AB Dor (K1 V), Cen B (K2 V), Eri (K2 V), and AU Mic (M0 V). We present line identifications, fluxes, Doppler shifts, and widths.
Seth Redfield   +7 more
openaire   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Analysis of Six Long-period Low-mass Eclipsing Binaries

open access: yesThe Astronomical Journal
The radius inflation is predominantly observed in short-period, low-mass stellar systems, while being rarely detected in long-period binaries. Using Transiting Exoplanet Survey Satellite photometric and Large Sky Area Multi-Object Fiber Spectroscopic ...
Yang Pan   +4 more
doaj   +1 more source

Star Formation Histories of Dwarf Galaxies from the Colour-Magnitude Diagrams of Their Resolved Stellar Populations

open access: yesAdvances in Astronomy, 2010
In this tutorial paper we summarize how the star formation (SF) history of a galactic region can be derived from the colour-magnitude diagram (CMD) of its resolved stars.
Michele Cignoni, Monica Tosi
doaj   +1 more source

Stellar populations and star formation histories in late-type dwarfs

open access: yes, 2003
7 pages, 4 encapsulated .ps figures. Review presented at the "Stars in galaxies" meeting held in La Palma (Spain) in March 2003. Mem.S.A.It.
openaire   +2 more sources

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

open access: yesAdvanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil   +2 more
wiley   +1 more source

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