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 5):
The method of  claim 1 , wherein the machine learning model comprises a convolutional neural network configured to determine whether the input physical design layout pattern includes one or more hotspots.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 94.0
- Lexical Diversity: 2.08696
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13191433', '13191436', '16001531', '14162889', '12490245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3818994342371516
- 35 USC 102 Novelty (BERT): 0.4831607303072739
- Combined Prediction Score: 0.3920255638441638
- Mean Citation Score: 232.352182
- Max Citation Score: 254.83328
- Similarity Product: 185.7650088507843

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