Results 61 to 70 of about 675 (261)
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
Analysis of Six Long-period Low-mass Eclipsing Binaries
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
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
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
High Proper Motion Stars. III. Radial Velocities of 24 Late-Type Dwarfs
We report 27 radial velocity measurements for 24 stars, all with annual proper motions larger than 1''. For 17 of these, no velocities have previously been published. We identify a few stars that may be spectroscopic binaries and a sdK star of spectacularly high space velocity.
P. C. Dawson, M. M. De Robertis
openaire +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
Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer +6 more
wiley +1 more source
Food inflation pass‐through from agricultural imports in a small open economy
Abstract This paper develops a new framework for quantifying cost pass‐through in a small open economy by estimating firm‐level markup responses to agricultural import price shocks. We show theoretically that markup adjustments depend on firms' reliance on imported inputs and demand curvature, generating heterogeneous inflationary effects across firm ...
Minseong Kang, Seungki Lee
wiley +1 more source
First detection of nonflare microwave emissions from the coronae of single late-type dwarf stars
Results are presented of a search for nonflare microwave radiation from the coronae of nearby late-type dwarf stars comparable to the sun: single stars without evidence for either a large wind or circumstellar envelope. The observing program consisted of flux measurements of six stars over a 24-h period with the VLA in the C configuration at a ...
D. E. Gary, J. L. Linsky
openaire +1 more source
ABSTRACT Giovanni Antonio Scopoli (1723–1788), a physician‐naturalist of the Enlightenment, is primarily remembered for his contributions to botany and entomology. Less attention has been paid to his medical work De hydrargyro Idriensi Tentamina physico‐chymico‐medica (1761), written during his fifteen years of service as physician at the mercury mines
Alberto Zanatta +3 more
wiley +1 more source

