MACHINE LEARNING METHOD AND FRAMEWORK FOR OPTIMIZING SETUPS FOR ACCURATE, SPEEDY AND ROBUST TCAD SIMULATIONS
Patent №
US 11,348,017
Granted
2022-05-31
Filed 2018
Owner
SYNOPSYS, INC.
Lab
—
AI components
4
ml · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16183658
Embodiments provide efficient, robust, and accurate programmatic prediction of optimized TCAD simulator system settings for future simulation executions to be performed by a TCAD simulation system.
Machine learningPlanningEvolutionary computationAI hardwareG06F 30/27G06N 5/04G06F 30/30G06N 3/0499G06N 3/08G06N 3/09G06N 20/00G06F 2111/02+3 more
AI classification
Machine learning1.00
Planning1.00
AI hardware1.00
Evolutionary computation0.93
Vision0.50
Knowledge representation0.38
Natural language0.02
Speech0.00
Ownership
SYNOPSYS, INC.
assignment · 485300088
Assignors
WONG, HIU YUNG, DE ALMEIDA BRAGA, NELSON, MICKEVICIUS, RIMVYDAS
On an employer assignment, the assignors are typically the inventors.
From the same owner
DECONVOLUTION BY CONVOLUTIONSUS 12,619,862 · 2026EFFICIENT LOOK-UP TABLE BASED FUNCTIONS FOR ARTIFICIAL INTELLIGENCE (AI) ACCELERATORUS 12,619,864 · 2026LOGIC VERIFICATION OF SUPERCONDUCTING ELECTRONIC CIRCUITS, INCLUDING FOR MARGIN ANALYSIS OF YIELDUS 12,608,524 · 2026Machine-Learning Model for Circuit Design Requirements VerificationUS 12,596,858 · 2026MACHINE LEARNING TECHNIQUE TO DIAGNOSE SOFTWARE CRASHESUS 12,585,528 · 2026MEMORY ADDRESS CACHING FOR NEURAL NETWORKSUS 12,511,237 · 2025ADIABATIC QUANTUM-FLUX-PARAMETRON PLACEMENTUS 12,493,732 · 2025MACHINE-LEARNING-BASED POWER/GROUND (P/G) VIA REMOVALUS 12,475,295 · 2025