PATENT CLAIM ANALYSIS

Application Number: 15896060
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-10
Patent Classification: ["356", "237500"]

Abstract:
Methods and systems for detecting defects in patterns formed on a specimen are provided. One system includes one or more components executed by one or more computer subsystems, and the component(s) include first and second learning based models. The first learning based model generates simulated contours for the patterns based on a design for the specimen, and the simulated contours are expected contours of a defect free version of the patterns in images of the specimen generated by an imaging subsystem. The second learning based model is configured for generating actual contours for the patterns in at least one acquired image of the patterns formed on the specimen. The computer subsystem(s) are configured for comparing the actual contours to the simulated contours and detecting defects in the patterns formed on the specimen based on results of the comparing.

Claim (Index 27):
A non-transitory computer-readable medium, storing program instructions executable on one or more computer subsystems for performing a computer-implemented method for detecting defects in patterns formed on a specimen, wherein the computer-implemented method comprises:\n acquiring images of patterns formed on a specimen by an imaging subsystem with the one or more computer subsystems, wherein the imaging subsystem comprises at least an energy source and a detector, wherein the energy source is configured to generate energy that is directed to the specimen, and wherein the detector is configured to detect energy from the specimen and to generate images responsive to the detected energy; generating simulated contours for the patterns based on a design for the specimen input to a first learning based model by the one or more computer subsystems, wherein the simulated contours are expected contours of a defect free version of the patterns in the images of the specimen generated by the imaging subsystem; generating actual contours for the patterns in at least one of the acquired images of the patterns formed on the specimen input to a second learning based model by the one or more computer subsystems, wherein one or more components are executed by the one or more computer subsystems, and wherein the one or more components comprise the first and second learning based models; comparing the actual contours to the simulated contours; and detecting defects in the patterns formed on the specimen based on results of the comparing.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 88.0
- Lexical Diversity: 2.32308
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15402094', '15402197', '15402169', '15176139', '15353210']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7504023171278417
- 35 USC 102 Novelty (BERT): 0.4989020073467948
- Combined Prediction Score: 0.725252286149737
- Mean Citation Score: 274.44617400000004
- Max Citation Score: 287.2504
- Similarity Product: 250.1537135073661

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test