PATENT CLAIM ANALYSIS

Application Number: 15994435
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["438", "626000"]

Abstract:
Advanced flat metals for microelectronics are provided. While conventional processes create large damascene features that have a dishing defect that causes failure in bonded devices, example systems and methods described herein create large damascene features that are planar. In an implementation, an annealing process creates large grains or large metallic crystals of copper in large damascene cavities, while a thinner layer of copper over the field of a substrate anneals into smaller grains of copper. The large grains of copper in the damascene cavities resist dishing defects during chemical-mechanical planarization (CMP), resulting in very flat damascene features. In an implementation, layers of resist and layers of a second coating material may be applied in various ways to resist dishing during chemical-mechanical planarization (CMP), resulting in very flat damascene features.

Claim (Index 19):
The method of  claim 16 , wherein the depositing the additional metal in the cavities comprises creating a cavity layer of the metal and a field layer of the metal with non-coplanar top surfaces, wherein the surface of the cavity layer is non-flat and is mostly higher than the surface of the field layer.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 93.0
- Lexical Diversity: 1.87013
- Patent Class: 438.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11602128', '13170095', '15919894', '10858766', '11893793']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8777436988141947
- 35 USC 102 Novelty (BERT): 0.5014888106599547
- Combined Prediction Score: 0.8401182099987707
- Mean Citation Score: 224.554644
- Max Citation Score: 241.85347
- Similarity Product: 167.14294408846615

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