Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Shunyuan Mao"'
PPDONet: Deep Operator Networks for Fast Prediction of Steady-state Solutions in Disk–Planet Systems
Publikováno v:
The Astrophysical Journal Letters, Vol 950, Iss 2, p L12 (2023)
We develop a tool, which we name Protoplanetary Disk Operator Network (PPDONet), that can predict the solution of disk–planet interactions in protoplanetary disks in real time. We base our tool on Deep Operator Networks, a class of neural networks
Externí odkaz:
https://doaj.org/article/58394c9e04534ebcb42a2417cd327fd5
Publikováno v:
Materials, Vol 16, Iss 3, p 1282 (2023)
Considering the elastic–plastic deformation, the wave propagations and energy transmissions of the one-dimensional three-segment composite granular chain are studied. The axial symmetry model for elastic-perfectly plastic materials is built by usin
Externí odkaz:
https://doaj.org/article/22efd30020c84bbab244b8740f11ba7b
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 1115 (2023)
In this paper, the eigenfunction expansion method combined with local contact models are presented to analyze the repeated impact behaviors between the sphere and the beam. The simulations are verified with the experimental results of a simply-suppor
Externí odkaz:
https://doaj.org/article/f348d571a227426eab56c2c08215dcaa
Autor:
Eder Martioli, Shunyuan Mao, Jeffrey L. Carlin, Michael J. Lundquist, André-Nicolas Chené, Usability Testing
This paper describes the software DRAGraces (Data Reduction and Analysis for GRACES), which is a pipeline reducing spectra from GRACES (Gemini Remote Access to the CFHT ESPaDOnS Spectrograph) at the Gemini North Telescope. The code is written in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::710987c93f5e4359e592e7cc60384c71