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 15):
A method for assessing the quality of a semiconductor structure, the semiconductor structure having a front surface and a back surface generally parallel to the front surface and comprising a charge trapping layer, the method comprising:\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; generating charge carriers in the semiconductor structure; and 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.

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): 0.8287959787213734
- 35 USC 102 Novelty (BERT): 0.5050237532846522
- Combined Prediction Score: 0.7964187561777014
- Mean Citation Score: 198.464854
- Max Citation Score: 207.91049
- Similarity Product: 132.37480678647282

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