PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems

18 May 2023

Papers citing "PPDONet: Deep Operator Networks for Fast Prediction of Steady-State Solutions in Disk-Planet Systems"

6 / 6 papers shown

Title
Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation Jingmin Sun Yuxuan Liu Zecheng Zhang Hayden Schaeffer AI4CE 115 20 0 18 Apr 2024
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks Chen-Chun Wu Min Zhu Qinyan Tan Yadhu Kartha Lu Lu 88 383 0 21 Jul 2022
PGNets: Planet mass prediction using convolutional neural networks for radio continuum observations of protoplanetary disks Shangjia Zhang Zhaohuan Zhu Mingon Kang 35 9 0 30 Nov 2021
DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps Sayantan Auddy Ramit Dey Min-Kai Lin C. Hall 46 7 0 19 Jul 2021
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 156 15,026 0 18 Jun 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 248 2,158 0 08 Oct 2019