LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields
Linear reduced-order modeling (ROM) simplifies complex simulations by approximating the behavior of a system using a simplified kinematic representation. Typically, ROM is trained on input simulations created with a specific spatial discretization, and then serves to accelerate simulations with the...
Main Authors: | , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
ACM|SIGGRAPH Asia 2023 Conference Papers
2024
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Online Access: | https://hdl.handle.net/1721.1/153261 |