Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Yu, Rixin"'
Recent advancements in the integration of artificial intelligence (AI) and machine learning (ML) with physical sciences have led to significant progress in addressing complex phenomena governed by nonlinear partial differential equations (PDE). This
Externí odkaz:
http://arxiv.org/abs/2405.07067
Autor:
Yu, Rixin, Hodzic, Erdzan
This study investigates the application of machine learning, specifically Fourier Neural Operator (FNO) and Convolutional Neural Network (CNN), to learn time-advancement operators for parametric partial differential equations (PDEs). Our focus is on
Externí odkaz:
http://arxiv.org/abs/2402.10238
In a highly turbulent medium characterized by a low Damk\"ohler number Da, reactions are commonly considered to occur in distributed zones broadened by small-scale turbulent eddies. In the present communication, an alternative regime of propagation o
Externí odkaz:
http://arxiv.org/abs/1806.05963
Autor:
Yu, Rixin1 rixin.yu@energy.lth.se
Publikováno v:
APL Machine Learning. Jun2023, Vol. 1 Issue 2, p1-18. 18p.
Publikováno v:
In Combustion and Flame September 2019 207:232-249
Autor:
Yu, Rixin, Lipatnikov, Andrei N.
Publikováno v:
In Computers and Fluids 15 June 2019 187:69-82
Publikováno v:
In Fuel 15 March 2018 216:627-638
Publikováno v:
In International Journal of Hydrogen Energy 3 December 2014 39(35):20216-20232
Autor:
Yu, Rixin, Bai, Xue-Song
Publikováno v:
In Journal of Computational Physics 1 January 2014 256:234-253
Publikováno v:
In Journal of Computational Physics 20 June 2012 231(16):5504-5521