Results 101 to 110 of about 11,061 (283)

Addressing Distribution Discrepancies in Pulsar Candidate Identification via Bayesian-neural-network-based Multimodal Incremental Learning

The Astrophysical Journal Supplement Series
With the advancement of astronomical observation technology and the substantial increase in data volume, traditional methods for pulsar identification are increasingly challenged by the dynamic nature of data distributions.
Yi Liu, Jing Jin, Hongyang Zhao, Zhenyi Wang, Yi Shen   +4 more
doaj   +1 more source

In Situ Pseudo‐Halide Diffusion Enables Buried Interface Regulation and Crystallinity Enhancement in Perovskite Solar Cells

Advanced Science, EarlyView.
Thermally activated LiHCOO induces in situ pseudo‐halide diffusion, promoting buried interface strain release and perovskite crystallization. The monoclinic LiHCOO phase forms an open framework structure that enhances HCOO− diffusion and drives interfacial restructuring.
Chao Gao, Li He, Changjiang Li, Long Fang, Wenzhong Shen   +4 more
wiley   +1 more source

The Effects Of Three Types Of Pre- And Post- Planetarium/ Starlab-Visit Instruction Methods On Astronomy Concepts And Attitudes Of Sixth Grade Students

, 2000
The purpose of this study was to examine the effects of three different pre- and post- Planetarium/Starlab visit- instructional methodologies on astronomy concepts and attitudes for sixth grade students.
Meyer, Janis Ruth
core  

A Genetic-algorithm-driven Convolutional Neural Network with Multimodal Fusion for Pulsar Candidate Identification

The Astronomical Journal
The field of pulsar candidate identification still faces the challenge of algorithm generalization, as a single model often fails to adapt to datasets with diverse sources and characteristics.
Yining Song, Nannan Zhai, Jun Li, Zhiyong Liu, Maozheng Chen   +4 more
doaj   +1 more source

Machine Learning Accelerated Non‐Adiabatic Molecular Dynamics Elucidates Local Polarization Effects on Non‐radiative Recombination in Halide Perovskites

Advanced Science, EarlyView.
This work proposes and constructs the Hefei‐NAMD‐S framework based on machine learning stacked models to investigate the relationship between local polarization and non‐radiative recombination. The results indicate that, compared with A‐site local polarization, B‐site local polarization shows a more evident association with the non‐radiative ...
Bing Yang, Xiaoli Wei, Bo Cai, Yan Yang, Xinghai Zhu, Yi Liu, Junmin Xia, Lihui Liu, Kun Cao, Wei Shen, Pengfei Xia, Shufen Chen, Siyu Chen, Jin Zhao   +13 more
wiley   +1 more source

Unconventional Hysteretic Charge Filling in Moiré‐Reconstructed Helical Trilayer Graphene

Advanced Science, EarlyView.
In helical trilayer graphene, sequential twisting reconstructs the moiré landscape into periodic domains separated by aperiodic boundaries. Longitudinal transport reveals sweep‐direction‐dependent hysteresis, while the Hall response traces this behavior to hysteretic charge filling at the aperiodic boundaries.
Hangyeol Park, Junhyeok Oh, Rasoul Ghadimi, Chiranjit Mondal, Yungi Jeong, Won Beom Choi, Kenji Watanabe, Takashi Taniguchi, Bohm‐Jung Yang, Joonho Jang   +9 more
wiley   +1 more source

Astronomy Reports V. 49, I. 10

, 2005
Astronomy Reports -- October 2005 Volume 49, Issue 10, pp. 771-857 Effective Curvature of the Universe in Observations of Distant Objects E. V. Ivanova and O. S. Khovanskaya pp.

core  

Modeling radial velocities of HD 240210 with the Genetic Algorithm

, 2011
More than 450 extrasolar planets are known to date. To detect these intriguing objects many photometric and radial velocity surveys are in progress. We developed the Keplerian FITting code, to model published and available radial velocity data. This code
Migaszewski, C., Gozdziewski, K., Rozenkiewicz, A.   +2 more
core   +2 more sources

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Gaussian Process Models Impact the Inferred Properties of Giant Planets around Active Stars

The Astronomical Journal
The recent development of statistical methods that can distinguish between stellar activity and dynamical signals in radial velocity (RV) observations has facilitated the discovery and characterization of planets orbiting young stars. One such technique,
Quang H. Tran, Brendan P. Bowler
doaj   +1 more source