NEURAL NETWORK-BASED DYNAMICAL SYSTEM MODELING FOR CONTRASTIVELY LEARNED CONSERVATION LAWS
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United States of America Patent
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Issued Date -
Jan 23, 2025
app pub date -
Jul 21, 2023
filing date -
Jul 21, 2023
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Abstract
Obtain, using at least one hardware processor, data characterizing a physical system governed by a physical conservation law. Apply, using the at least one hardware processor, contrastive learning to the data to automatically capture system invariants of the physical system. Employ, using the at least one hardware processor, a neural projection layer to guarantee that a corresponding dynamic machine learning model preserves the captured system invariants. Optionally, predict performance of the physical system using the corresponding dynamic machine learning model.
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