PATENT CLAIM ANALYSIS

Application Number: 15880374
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["250", "39600R"]

Abstract:
In a charged-particle multi-beam writing method a desired pattern is written on a target using a beam of energetic electrically charged particles, by imaging apertures of a pattern definition device onto the target, as a pattern image which is moved over the target. Thus, exposure stripes are formed which cover the region to be exposed in sequential exposures, and the exposure stripes are mutually overlapping, such that each area of said region is exposed by at least two different areas of the pattern image at different transversal offsets (Y 1 ). For each pixel, a corrected dose amount is calculated by dividing the value of the nominal dose amount by a correction factor (q), wherein the same correction factor (q) is used with pixels located at positions which differ only by said transversal offsets (Y 1 ) of overlapping stripes.

Claim (Index 7):
The method of  claim 6 , wherein the exposure stripes are mutually overlapping, the position of the stripes differing by a transversal offset in a direction across the scanning direction, wherein the row correction factors of rows of pixels are averaged over those rows of pixels which are offset to each other by said transversal offset.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 86.0
- Lexical Diversity: 1.81395
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14795547', '14795535', '14726243', '14631690', '15073200']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7892565064283636
- 35 USC 102 Novelty (BERT): 0.5369053482582814
- Combined Prediction Score: 0.7640213906113555
- Mean Citation Score: 375.153118
- Max Citation Score: 393.4646
- Similarity Product: 285.9741850791932

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