PATENT CLAIM ANALYSIS

Application Number: 16050080
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["250", "492300"]

Abstract:
In one embodiment, a charged particle beam writing apparatus includes an estimator calculating an estimated value of a process parameter of a processing device at a scheduled timing at which a substrate as an object of pattern correction is processed in the processing device from a history of the process parameter of the processing device which performs a process after pattern writing, a predictor predicting dimension distribution of a pattern formed on the substrate by the processing device performing the process with the estimated value, a corrector correcting a design dimension based on the predicted dimension distribution, and a writer irradiating the substrate with a charged particle beam and writing the pattern based on the dimension corrected by the corrector.

Claim (Index 11):
The method according to  claim 9 , wherein\n a first approximate expression approximates the dimension distribution of the pattern on the substrate, a second approximate expression is for calculating a coefficient of the first approximate expression from a value of the process parameter, and the coefficient of the first approximate expression is calculated by the second approximate expression and the estimated value, and the dimension distribution is predicted.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 95.0
- Lexical Diversity: 2.19298
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11555478', '11942307', '13093773', '15450235', '15342234']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7322118144143283
- 35 USC 102 Novelty (BERT): 0.4934812589033486
- Combined Prediction Score: 0.7083387588632303
- Mean Citation Score: 168.01305399999995
- Max Citation Score: 177.8776
- Similarity Product: 110.37590783138278

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