PATENT CLAIM ANALYSIS

Application Number: 16356317
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["356", "072000"]

Abstract:
Embodiments of the present disclosure relate to apparatus and methods for forming films having uniformity of thickness on substrates. Embodiments of the present disclosure may be used to measure thickness or other properties of films being deposited on a substrate without knowing beforehand the surface properties of the substrate. Embodiments of the present disclosure may be used to measure thickness or other properties of a plurality of layers being formed. For example, embodiments of the present disclosure may be used in measuring thickness of vertical memory stacks.

Claim (Index 16):
An apparatus, comprising:\n a chamber, comprising:\n a substrate support disposed in the chamber; and \n a substrate learning system disposed in the chamber opposite the substrate support, the substrate learning system comprising:\n a hollow cylindrical tube; \n a film located at one end of the hollow cylindrical tube proximate the substrate support and spaced therefrom, wherein the film is a multilayer structure including a first layer and a second layer, wherein the second layer has a different refractive index than the first layer; and \n one or more capacitance sensors surrounding the hollow cylindrical tube.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 99.0
- Lexical Diversity: 2.0
- Patent Class: 356.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15184276', '15347519', '12040698', '14422148', '14869371']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6708118386674586
- 35 USC 102 Novelty (BERT): 0.4934854650911193
- Combined Prediction Score: 0.6530792013098247
- Mean Citation Score: 164.34897600000005
- Max Citation Score: 288.26233
- Similarity Product: 284.4441275031185

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