PATENT CLAIM ANALYSIS

Application Number: 16257423
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["355", "077000"]

Abstract:
A method for improving a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method including: calculating a discrete pupil profile based on a desired pupil profile; selecting a discrete change to the discrete pupil profile; and applying the selected discrete change to the discrete pupil profile. The methods according to various embodiments disclosed herein may reduce the computational cost of discrete optimization from O(a n ) to O(n) wherein a is constant and n is the number of knobs that can generate discrete change in the pupil profile.

Claim (Index 16):
A method comprising:\n generating, by a hardware computer system, a discrete pupil profile based on a desired pupil profile designed for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus; selecting a discrete change, from among a plurality of discrete changes, to the discrete pupil profile, wherein the selecting further comprises calculating an estimated change in a value of a cost function for each of the plurality of discrete changes; applying, by the hardware computer system, the selected discrete change to the discrete pupil profile; and generating electronic instructions, based on the discrete profile to which the selected discrete change has been applied, for use in configuring an optical component of, or for, the lithographic projection apparatus.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 99.0
- Lexical Diversity: 1.77419
- Patent Class: 355.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14766703', '16036732', '13753401', '13719135', '14968561']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6811612046276316
- 35 USC 102 Novelty (BERT): 0.5332440215385844
- Combined Prediction Score: 0.666369486318727
- Mean Citation Score: 278.826476
- Max Citation Score: 400.55136
- Similarity Product: 343.27110423746103

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

Dataset: test