PATENT CLAIM ANALYSIS

Application Number: 15996992
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["716", "052000"]

Abstract:
A computer-implemented defect prediction method for a device manufacturing process involving processing a portion of a design layout onto a substrate, the method including: identifying a hot spot from the portion of the design layout; determining a range of values of a processing parameter of the device manufacturing process for the hot spot, wherein when the processing parameter has a value outside the range, a defect is produced from the hot spot with the device manufacturing process; determining an actual value of the processing parameter; determining or predicting, using the actual value, existence, probability of existence, a characteristic, or a combination thereof, of a defect produced from the hot spot with the device manufacturing process.

Claim (Index 1):
A non-transitory computer readable medium having instructions recorded thereon, the instructions, when executed by a computer, configured to:\n identify a hot spot from a portion of a design layout to be processed onto a substrate by a device manufacturing process; determine a range of values of a processing parameter of the device manufacturing process for the hot spot, wherein when the processing parameter has a value outside the range, a defect is produced from the hot spot using the device manufacturing process; determine an actual value of the processing parameter; and determine or predict, using the actual value and by a computer hardware system, an existence, a probability of existence, a characteristic, or a combination selected therefrom, of a defect produced from the hot spot using the device manufacturing process.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 2.58
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15339669', '14730993', '14616905', '15764875', '15546592']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.405244012437808
- 35 USC 102 Novelty (BERT): 0.5245335071007101
- Combined Prediction Score: 0.4171729619040982
- Mean Citation Score: 321.719726
- Max Citation Score: 388.4183
- Similarity Product: 374.1463974659443

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