PATENT CLAIM ANALYSIS

Application Number: 15893055
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["438", "010000"]

Abstract:
Methods for assessing the quality of a semiconductor structure having a charge trapping layer to, for example, determine if the structure is suitable for use as a radiofrequency device are disclosed. Embodiments of the assessing method may involve measuring an electrostatic parameter at an initial state and at an excited state in which charge carriers are generated.

Claim (Index 18):
The method as set forth in  claim 15  comprising assessing the quality of a plurality of semiconductor structures, wherein each structure is assessed by:\n measuring an initial electrostatic parameter of the structure, the electrostatic parameter being selected from the group consisting of (1) the capacitance of the structure and (2) a difference in voltage potential between the front of the semiconductor structure and an electrode; \n generating charge carriers in the semiconductor structure; \n measuring an excited electrostatic parameter of the structure during or after generation of charge carriers in the structure, the excited electronic parameter being the same as the initial electronic parameter; \n determining the difference between the initial electrostatic parameter and the excited electrostatic parameter; \n comparing the difference between the initial electrostatic parameter and the excited electrostatic parameter for each structure to a baseline difference to assess the structure; and \n forming a radiofrequency device only on structures which are determined to be suitable.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.38636
- Patent Class: 438.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15435428', '16077142', '16077176', '15526798', '15727723']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.829393354541672
- 35 USC 102 Novelty (BERT): 0.5007643566121124
- Combined Prediction Score: 0.796530454748716
- Mean Citation Score: 198.464854
- Max Citation Score: 207.91049
- Similarity Product: 139.32554778510692

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

Dataset: test