PATENT CLAIM ANALYSIS

Application Number: 15920745
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["438", "675000"]

Abstract:
Embodiments described herein relate generally to methods for forming a mask for patterning a feature in semiconductor processing. In an embodiment, a dielectric layer is formed over a substrate. A mask is formed over the dielectric layer. Forming the mask includes depositing a first layer over the dielectric layer; implanting in a first implant process a dopant species through a patterned material and into the first layer at a first energy; after implanting in the first implant process, implanting in a second implant process the dopant species through the patterned material and into the first layer at a second energy greater than the first energy; and forming mask portions of the mask comprising selectively removing portions of the first layer that are not implanted with the dopant species.

Claim (Index 17):
The method of  claim 15 , wherein:\n the multi-layer mask structure further comprises a lower layer over the dielectric layer and a mid layer over the lower layer, the upper layer being over the mid layer; the upper layer is amorphous silicon; the mid layer is an oxide material; the lower layer is a nitride material; and transferring the pattern of the etched upper layer to the dielectric layer comprises transferring the pattern of the etched upper layer to the mid layer and the lower layer.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.28333
- Patent Class: 438.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12335756', '11007510', '13760200', '10639058', '10650621']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.843007979284704
- 35 USC 102 Novelty (BERT): 0.4867615551979007
- Combined Prediction Score: 0.8073833368760237
- Mean Citation Score: 179.388752
- Max Citation Score: 181.95189
- Similarity Product: 134.40612093445122

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