3 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.NE2023★ 3 cited
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks
Hyeonjung, Jung, Jayant Gupta +6
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems. Current literature has focused primarily on…
cs.LG2023★ 2 cited
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation
Yan Li, Mingzhou Yang, Matthew Eagon +4
The eco-toll estimation problem quantifies the expected environmental cost (e.g., energy consumption, exhaust emissions) for a vehicle to travel along a path. This problem is impor…