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Physics-informed machine learning

Machine learning used to represent physics-based and/or engineering models

Papers

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Showing 141–150 of 192 papers

TitleStatusHype
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation—0
A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature—0
A Multimodal Physics-Informed Neural Network Approach for Mean Radiant Temperature Modeling—0
An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation—0
An operator preconditioning perspective on training in physics-informed machine learning—0
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration—0
A Physics-Informed Machine Learning Approach for Solving Heat Transfer Equation in Advanced Manufacturing and Engineering Applications—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements—0
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study—0
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