PATENT CLAIM ANALYSIS

Application Number: 16044795
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["438", "695000"]

Abstract:
The present disclosure discloses a manufacturing method for a semiconductor apparatus, and relates to the field of semiconductor technologies. Forms of the method include: providing a semiconductor structure, where the semiconductor structure includes: a substrate and an interlayer dielectric layer on the substrate, where the interlayer dielectric layer has an opening for forming a gate; depositing a gate metal layer on the semiconductor structure to fill the opening, where the gate metal layer contains impurity; forming an impurity adsorption layer on the gate metal layer; performing a first annealing treatment on a semiconductor structure on which the impurity adsorption layer has been formed, to make the impurity in the gate metal layer enter the impurity adsorption layer; and removing the impurity adsorption layer after the first annealing treatment is performed. The present disclosure may reduce impurity in the gate metal layer, thereby improving contact resistance of the gate and improving device performance.

Claim (Index 3):
The method according to  claim 2 , wherein\n after the portion of the second part is removed, a thickness of a remaining portion of the second part falls within a range of 100 \u212b to 300 \u212b.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 95.0
- Lexical Diversity: 2.56923
- Patent Class: 438.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15001004', '11582911', '10898484', '15171120', '10922055']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8755886791974701
- 35 USC 102 Novelty (BERT): 0.5209971957711135
- Combined Prediction Score: 0.8401295308548344
- Mean Citation Score: 240.415154
- Max Citation Score: 253.8694
- Similarity Product: 131.08146260854008

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

Dataset: test