PATENT CLAIM ANALYSIS

Application Number: 16020417
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2020-01
Patent Classification: ["716", "055000"]

Abstract:
Methods and systems for fabricating an integrated circuit include training a machine learning model using a training set that includes known physical design layout patterns that are classified according to whether the patterns include a hotspot. It is determined whether an input physical design layout pattern includes a hotspot using the machine learning model. A hotspot localization is generated for the input physical design layout patterns. The input physical design pattern is adjusted to cure the hotspot. A circuit is fabricated in accordance with the adjusted input physical design layout pattern.

Claim (Index 13):
The system of  claim 12 , further comprising a segmentation module configured to segment an input physical design layout into a plurality of input physical design layout patterns, wherein the determination of the hotspot, generation of hotspot localization, and adjustment of the input physical design pattern are repeated for each of the plurality of input physical design layout patterns before fabrication of the circuit.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 2.08696
- Patent Class: 716.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13191433', '13191436', '16001531', '14162889', '12490245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3529065642506289
- 35 USC 102 Novelty (BERT): 0.487683162033054
- Combined Prediction Score: 0.3663842240288714
- Mean Citation Score: 232.352182
- Max Citation Score: 254.83328
- Similarity Product: 166.6460604586029

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test