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06/24/2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Physics-informed machine learning (PIML) is a set of methods and tools t...
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06/09/2023
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
Physics-informed neural networks (PINNs) provide a framework to build su...
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04/28/2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
Differentiable simulation enables gradients to be back-propagated throug...
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12/12/2022
A Neural ODE Interpretation of Transformer Layers
Transformer layers, which use an alternating pattern of multi-head atten...
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06/27/2022
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System
Emergency vehicles (EMVs) play a crucial role in responding to time-crit...
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01/20/2022
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
This work presents a physics-informed neural network based framework to ...
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09/12/2021
EMVLight: A Decentralized Reinforcement Learning Framework for EfficientPassage of Emergency Vehicles
Emergency vehicles (EMVs) play a crucial role in responding to time-crit...
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02/12/2021
A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics
The incorporation of appropriate inductive bias plays a critical role in...
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12/03/2020
Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data
The last few years have witnessed an increased interest in incorporating...
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11/11/2020
Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL
Model-free reinforcement learning (RL), in particular Q-learning is wide...
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11/03/2020
Frequency-compensated PINNs for Fluid-dynamic Design Problems
Incompressible fluid flow around a cylinder is one of the classical prob...
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02/20/2020
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning
In this work, we introduce Dissipative SymODEN, a deep learning architec...
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11/07/2019
Beacon-referenced Pursuit for Collective Motions in Three Dimensions
Motivated by real-world applications of unmanned aerial vehicles, this p...
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10/04/2019
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods
Microstructures of a material form the bridge linking processing conditi...
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09/26/2019
