9 citations · 17 across the 5 of their papers we have counts for
5 papers
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…
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…
Vehicle Emissions Prediction with Physics-Aware AI Models: Preliminary Results
Harish Panneer Selvam, Yan Li, Pengyue Wang +2
Given an on-board diagnostics (OBD) dataset and a physics-based emissions prediction model, this paper aims to develop an accurate and computational-efficient AI (Artificial Intell…
Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles
Pengyue Wang, Yan Li, Shashi Shekhar +1
Adversarial examples are firstly investigated in the area of computer vision: by adding some carefully designed ''noise'' to the original input image, the perturbed image that cann…
A Physics Model-Guided Online Bayesian Framework for Energy Management of Extended Range Electric Delivery Vehicles
Pengyue Wang, Yan Li, Shashi Shekhar +1
Increasing the fuel economy of hybrid electric vehicles (HEVs) and extended range electric vehicles (EREVs) through optimization-based energy management strategies (EMS) has been a…