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Found 2 papers, 1 papers with code
A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems.
Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation
The eco-toll estimation problem quantifies the expected environmental cost (e. g., energy consumption, exhaust emissions) for a vehicle to travel along a path.
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