PATENT CLAIM ANALYSIS

Application Number: 15928910
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["327", "109000"]

Abstract:
We disclose frequency doublers for use in millimeter-wave devices. One such frequency doubler comprises at least one passive mixer comprising at least one of the following: at least one transistor configured to receive a back gate voltage; at least one first input driver circuit; and two second input driver circuits. We also disclose a method comprising determining a target output voltage of a frequency doubler comprising at least one passive mixer comprising at least one transistor configured to receive a back gate voltage; determining an output voltage of the frequency doubler; increasing a back gate voltage of the at least one transistor, in response to determining that the output voltage is below the target output voltage; and decreasing the back gate voltage of the at least one transistor, in response to determining that the output voltage is above the target output voltage.

Claim (Index 14):
A system, comprising:\n a semiconductor device processing system to manufacture a semiconductor device; and a processing controller operatively coupled to said semiconductor device processing system, said processing controller configured to control an operation of the semiconductor device processing system; wherein the semiconductor device processing system is adapted to: form a frequency doubler, comprising forming at least one passive mixer comprising at least one of the following:\n at least one transistor configured to receive a back gate voltage; \n at least one first input driver circuit comprising a first inverter and a second inverter; and \n two second input driver circuits each comprising a first inverter and a second inverter.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 90.0
- Lexical Diversity: 2.78182
- Patent Class: 327.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14571944', '12969192', '15908678', '12967160', '12966784']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7686686019779368
- 35 USC 102 Novelty (BERT): 0.4812346685776699
- Combined Prediction Score: 0.7399252086379102
- Mean Citation Score: 206.187602
- Max Citation Score: 227.51685
- Similarity Product: 177.8178667249739

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