In this project, we employ Physics-Informed Neural Networks (PINNs) to solve the differential equation governing a source-free underdamped series RLC circuit. The primary objective is to validate the feasibility and accuracy of PINNs in solving ordinary differential equations (ODEs) as an alternative to traditional numerical methods.
active 2024-12-08 → 2024-12-08 (UTC)
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Line chart, 1 days from 2024-12-08 to 2024-12-08. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| S0r4-0 | 2 | 2 | 0 | 0 |
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