System and method for circuit simulation based on recurrent neural networks
US10621494B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 11, 2018 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | May 8, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to one embodiment of the present invention a circuit simulator configured to simulate a degraded output of a circuit including a plurality of transistors includes: a behavioral recurrent neural network configured to receive an input waveform and to compute a circuit output waveform; a feature engine configured to model one or more degraded circuit elements in accordance with an aging time, to receive the circuit output waveform and to output a plurality of degraded features; and a physics recurrent neural network configured to receive the plurality of degraded features from the feature engine and to simulate the degraded output of the circuit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.