Scientific machine learning for modeling and simulating complex fluids
The formulation of rheological constitutive equations—models that relate internal stresses and deformations in complex fluids—is a critical step in the engineering of systems involving soft materials. While data-driven models provide accessible alternatives to expensive first-principles models and l...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Proceedings of the National Academy of Sciences
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/153959 |