Results 21 to 30 of about 14,211,114 (251)

A Simple but Powerful Method to Reduce Background Noise in Celestial Gamma-Ray Images

The Astrophysical Journal
Reducing background noise is essential for clear data analysis and signal detection. In this study, we introduce a novel denoising algorithm tailored for gamma-ray astronomical data, utilizing local density sampling techniques.
H. Hedayati Kh., M. Soor, F. Akhondi
doaj   +1 more source

Single‐Cell Resolution Mapping of Osteoarthritis‐Associated Chondrocyte Dynamics Using a High‐Density CMOS MEA Platform

Advanced Healthcare Materials, EarlyView.
Single‐cell and spatially resolved impedance mapping using a high‐density CMOS‐MEA platform enables non‐invasive monitoring of osteoarthritis‐associated chondrocyte dynamics. Continuous label‐free measurements reveal heterogeneous remodeling behaviors, including proliferation, migration, and phenotypic transitions, establishing a powerful approach for ...
Neha Deshpande, Pauline Coquart, Bram Theuns, Susanne Cremery, Jaime Rodolfo V. Garcia III, Julien Verplanken, Dennis Lambrechts, Dries Braeken, Liesbet Lagae, Johanna Bolander   +9 more
wiley   +1 more source

Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era

The Astronomical Journal
The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging artificial intelligence (AI) algorithms, has highlighted efficient image preprocessing as a critical bottleneck affecting algorithm performance. Image
Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li   +5 more
doaj   +1 more source

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

Advanced 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

Benchmarking Dimensionality Reduction Methods for High-dimensional ALMA Image Cubes

The Astronomical Journal
High-dimensional astronomical data cubes provide a wealth of spectral and structural information that can be used to study astrophysical and chemical processes.
Haley N. Scolati, Ryan A. Loomis, Anthony J. Remijan, Kin Long Kelvin Lee   +3 more
doaj   +1 more source

Long-Term Continuous Double Station Observation of Faint Meteor Showers

Sensors, 2016
Meteor detection and analysis is an essential topic in the field of astronomy. In this paper, a high-sensitivity and high-time-resolution imaging device for the detection of faint meteoric events is presented. The instrument is based on a fast CCD camera
Stanislav Vítek, Petr Páta, Pavel Koten, Karel Fliegel   +3 more
doaj   +1 more source

Fast Reconstruction of 3D Density Distribution around the Sun Based on the MAS by Deep Learning

The Astrophysical Journal, 2023
This study is the first attempt to generate a three-dimensional (3D) coronal electron density distribution based on the pix2pixHD model, whose computing time is much shorter than that of the magnetohydrodynamic (MHD) simulation.
Sumiaya Rahman, Seungheon Shin, Hyun-Jin Jeong, Ashraf Siddique, Yong-Jae Moon, Eunsu Park, Jihye Kang, Sung-Ho Bae   +7 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

WFST Astrometric Calibration. I. Modeling Global Geometric Distortion with Zernike Polynomials

The Astronomical Journal
Accurate modeling of geometric distortion (GD) is essential for precise astrometric calibration in wide-field imaging surveys. We present a self-calibration method based on Zernike polynomials, applied to imaging data from the Wide Field Survey Telescope
Chao Yang, Min Fang, Xian Zhong Zheng, Guoliang Li, Binyang Liu, Zheng Lou, Zhen Wan, Miaomiao Zhang, Tian-Rui Sun, Lulu Fan, Xiaoling Zhang, Xu Kong, Yongquan Xue, Wen Zhao, Bin Li, Wentao Luo, Feng Li, Wei Liu, Jian Wang, Hongfei Zhang, Hao Liu, Qinfeng Zhu, Hairen Wang, Dazhi Yao   +23 more
doaj   +1 more source

Measuring the Hall Effect in Hysteretic Materials

Advanced 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, Anthony Voyemant, Sudipta Chatterjee, Scott B. Lee, Grigorii Skorupskii, Connor J. Pollak, Leslie M. Schoop   +6 more
wiley   +1 more source