Results 71 to 80 of about 11,061 (283)

Mapping Galaxy Images across Ultraviolet, Visible, and Infrared Bands Using Generative Deep Learning

open access: yesThe Astrophysical Journal
We demonstrate that generative deep learning can translate galaxy observations across ultraviolet, visible, and infrared photometric bands. Leveraging mock observations from the Illustris simulations, we develop and validate a supervised image-to-image ...
Youssef Zaazou   +2 more
doaj   +1 more source

Linking Device Performance to Nanoscale Photoactivation of Grain Boundaries in 2D Hybrid Halide Perovskites

open access: yesAdvanced Materials Technologies, EarlyView.
The opto‐electronic response of polycrystalline (PEA)2PbBr4 thin films is investigated by correlating macroscopic photodetector performance with nanoscale mapping techniques. Grain boundary density is systematically tuned through crystallization control and linked to device responsivity.
Camilla Bordoni   +10 more
wiley   +1 more source

Disk Kinematics at High Redshift: DysmalPy’s Extension to 3D Modeling and Comparison with Different Approaches

open access: yesThe Astrophysical Journal
Spatially resolved emission-line kinematics are invaluable for investigating fundamental galaxy properties and have become increasingly accessible for galaxies at z ≳0.5 through sensitive near-infrared imaging spectroscopy and millimeter interferometry ...
Lilian L. Lee   +16 more
doaj   +1 more source

Chip‐Integrated Metasurface‐GaAsSb Nanowire Array Photodetectors for Single‐Pixel Polarimetric Imaging

open access: yesAdvanced Optical Materials, EarlyView.
A 2×2 multiplexed GaAsSb nanowire photodetector array integrated with L‐shaped metasurfaces is developed for miniaturized infrared polarimetry. Leveraging non‐radiating anapole states that facilitate near‐field enhancement, the device demonstrates strong polarization selectivity at 835 nm.
Longsibo Huang   +14 more
wiley   +1 more source

Atomic Data Needs for X-ray Astronomy

open access: yes, 2000
This publication contains written versions of most of the invited talks presented at the workshop on "Atomic Data Needs for X-ray Astronomy," which was held at NASA's Goddard Space Flight Center on December 16-17, 1999. The workshop was divided into five
Kallman, Timothy R.   +2 more
core  

Machine Learning Enables Inverse Design of Optically Driven Microscopic Metavehicles

open access: yesAdvanced Optical Materials, EarlyView.
Machine‐learning‐based inverse design is used optimize “metavehicles” — flat microparticles based on metagratings that generate a strong lateral optical force from normally incident light. The optimized design exhibits a force efficiency of ∼88% and a measured propulsion speed in water much higher than previously reported, demonstrating that inverse ...
Vasilii Mylnikov   +2 more
wiley   +1 more source

The Effect of 3D Computer Modeling and Observation-Based Instruction on the Conceptual Change Regarding Basic Concepts of Astronomy in Elementary School Students

open access: yes, 2009
This study has examined the impact of teaching certain basic concepts of astronomy through a predict-observe-explain strategy, which includes three-dimensional (3D) computer modeling and observations on conceptual changes seen in sixth-grade elementary ...
Yürümezoğlu, Kemal   +2 more
core  

Experience in Computer-Assisted XML-Based Modelling in the Context of Libraries [PDF]

open access: yes, 2003
In this paper, we introduce a software called Meta Data Visualisation (MDV) that assists the user with a graphical user interface in the creation of his specific document types, creates a database according to these document types, allows the user to ...
Niinimäki, M   +3 more
core  

Study of Free‐Space Optical Quantum Network: Review and Prospectives

open access: yesAdvanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

Weights and training data for SKiNN (Stellar Kinematics Neural Network)

open access: yes
Weights and training data for the Stellar Kinematics Neural Network (SKiNN). The SKiNN software can be found at https://github.com/mattgomer/SKiNN and is also archived on Software Heritage The full usage of SKiNN is described in the article ...
Galan, Aymeric   +8 more
core   +1 more source

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