DEEP LEARNING ACCELERATION OF PHYSICS-BASED MODELING

Values of physical variables that represent a first state of a first physical system are estimated using a deep learning (DL) algorithm that is trained based on values of physical variables that represent states of other physical systems that are determined by one or more physical equations and subj...

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Bibliographic Details
Main Authors VISHNU, Abhinav, OBIOLS SALES, Octavi, MALAYA, Nicholas Penha
Format Patent
LanguageEnglish
Published 14.10.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Values of physical variables that represent a first state of a first physical system are estimated using a deep learning (DL) algorithm that is trained based on values of physical variables that represent states of other physical systems that are determined by one or more physical equations and subject to one or more conservation laws. A physics-based model modifies the estimated values based on the one or more physical equations so that the resulting modified values satisfy the one or more conservation laws.
Bibliography:Application Number: US202017007489