PATENT CLAIM ANALYSIS

Application Number: 15932194
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["250", "42300R"]

Abstract:
A sufficient processing speed and sufficient processing accuracy are obtained in a microstructure manufacturing method using ion beams. The microstructure manufacturing method includes the steps of: (a) irradiating a first region of a sample with a first ion beam (projection ion beam) formed by being passed through a first opening portion of a first mask, and etching the sample; and (b) irradiating a second region that is wider than the first region in a direction along a beam width, with a second ion beam (projection ion beam), and processing the sample. Furthermore, a magnitude of a skirt width of a longitudinal section of the second ion beam is smaller than a magnitude of a skirt width of a longitudinal section of the first ion beam.

Claim (Index 2):
The microstructure manufacturing method according to  claim 1 , wherein\n the second ion beam is an ion beam formed by being passed through a second opening portion of a second mask, the second mask having the second opening portion, the second opening portion having a larger area than an area of the first opening portion of the first mask, the second opening portion being similar in shape to the first opening portion.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 88.0
- Lexical Diversity: 2.44828
- Patent Class: 250.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12108037', '11210732', '12731910', '10973304', '13926352']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7038134272751085
- 35 USC 102 Novelty (BERT): 0.4986618209531435
- Combined Prediction Score: 0.683298266642912
- Mean Citation Score: 222.097906
- Max Citation Score: 232.88931
- Similarity Product: 170.87540678199468

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