PATENT CLAIM ANALYSIS

Application Number: 16016348
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["294", "213000"]

Abstract:
An apparatus, system and method for providing a Bernoulli-based wafer pre-aligner. The pre-aligner may be capable of accommodating semiconductor wafers of varying sizes, and may include: a wafer support; a bearing arm capable of interfacing with at least one robotic element, and at least partially bearing the wafer support at one end thereof; and a plurality of Bernoulli pads on the wafer support for providing an interface between the wafer support and a one of the semiconductor wafers, wherein the interface comprises a gap there between.

Claim (Index 1):
A pre-aligner capable of variably accommodating semiconductor wafers of varying sizes, comprising:\n a wafer support; a bearing arm capable of interfacing with at least one robotic element, and at least partially bearing the wafer support at one end thereof; a plurality of Bernoulli pads on the wafer support for providing an interface between the wafer support and one of the semiconductor wafers, wherein the interface comprises a gap therebetween; and the plurality of Bernoulli pads being present only on that portion of the accommodating aspect for smaller sizes of the semiconductor wafers, and being absent from that portion of the accommodating aspect for larger sizes of the semiconductor wafers.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 1.86275
- Patent Class: 294.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15889410', '11179745', '11873770', '13436852', '13124777']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7098490161930742
- 35 USC 102 Novelty (BERT): 0.4813812652294542
- Combined Prediction Score: 0.6870022410967123
- Mean Citation Score: 155.00242
- Max Citation Score: 183.6268
- Similarity Product: 122.8022700177193

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

Dataset: test