Results 81 to 90 of about 2,970 (266)
Discovery of 118 New Ultracool Dwarf Candidates Using Machine-learning Techniques
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine-learning tool, named SMDET , applied to time-series images from the Wide-field Infrared Survey Explorer.
Hunter Brooks +47 more
doaj +1 more source
SDSS J080531.84+481233.0: An Unresolved L Dwarf/T Dwarf Binary [PDF]
SDSS J080531.84+481233.0 is a peculiar L-type dwarf that exhibits unusually blue near-infrared and mid-infrared colors and divergent optical (L4) and near-infrared (L9.5) spectral classifications. These peculiar spectral traits have been variously attributed to condensate cloud effects or subsolar metallicity.
openaire +2 more sources
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
8 pages, 3 figures, to appear in 4th Tetons Summer Conference on Galactic Structure, Stars, and the Interstellar ...
openaire +2 more sources
This comprehensive review highlights surface acidity engineering as a versatile strategy to modulate surface charge and boost catalytic performance in functional oxides. It explores recent advances in practical implementation, structural reconstruction approaches, and mechanistic origins from diverse complementary viewpoints.
Gyu Rac Lee, Harry L. Tuller
wiley +1 more source
Low Participation and Risk Reduction Potential of Supplemental Crop Insurance in the United States
ABSTRACT Federally subsidized crop insurance is a cornerstone of U.S. farm risk management, yet policies with the greatest share of participation only trigger indemnities after losses exceed 15%. Supplemental insurance was introduced to cover part of this deductible, but participation remains largely unchanged.
Francis Tsiboe +2 more
wiley +1 more source
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
Brown Dwarf Candidates in the JADES and CEERS Extragalactic Surveys
By combining the James Webb Space Telescope (JWST)/NIRCam JADES and CEERS extragalactic data sets, we have uncovered a sample of 21 T and Y brown dwarf candidates at best-fit distances between 0.1 and 4.2 kpc. These sources were selected by targeting the
Kevin N. Hainline +15 more
doaj +1 more source
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
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
Discovery of the Remarkably Red L/T Transition Object VHS J183135.58-551355.9
We present the discovery of VHS J183135.58−551355.9 (hereafter VHS J1831−5513), an L/T transition dwarf identified as a result of its unusually red near-infrared colors ( J − K _S = 3.633 ± 0.277 mag; J − W 2 = 6.249 ± 0.245 mag) from the VISTA ...
Thomas P. Bickle +15 more
doaj +1 more source

