Well-posed by Design: Learning Constitutive Laws from Velocity Data using Convex Neural Network Potentials VPMKBREFY1
| URI | m2://res/VPMKBREFY1 |
|---|---|
| Kind | preprint |
| Creators | Gonzalo G. de Diego, Georg Stadler |
| Date | 2026-10-05 |
| Subjects | arxiv physics.flu-dyn, arxiv cs.NA, arxiv math.NA, arxiv math.OC |
| Scope | out |
Expressions
e1: version, preprint
| Date | 2026-10-05 |
|---|---|
| Ids | arXiv 2610.07236 |
Items in this resource
The mentions of the inventory that name this resource. Each name links to the card of its inventory row.
| Item | Kind | Where | Source |
|---|---|---|---|
| E7VMKQYKX9 | statement | theorem 1 | arxiv |
| EN6SHCM925 | statement | theorem 4 | arxiv |
| EPE883B49B | statement | theorem 3 | arxiv |
| EX9HBHK193 | statement | theorem | arxiv |
| FF56PCY7H3 | statement | theorem | arxiv |
| GCK9YTC2Q3 | statement | theorem | arxiv |
| ZAZHSC59ES | statement | theorem | arxiv |
Catalogue records
- arxiv: 2610.07236 (work)