PATENT CLAIM ANALYSIS

Application Number: 16249284
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["333", "017100"]

Abstract:
Systems and methods for adjusting impedances or power or a combination thereof across multiple plasma processing stations are described. One of the systems includes a first radio frequency (RF) generator that generates a first RF signal having a first frequency, a second RF generator that generates a second RF signal having a second frequency, and a first matching network coupled to the first RF generator to receive the first RF signal. The first impedance matching network outputs a first modified RF signal upon receiving the first RF signal. The system further includes a second matching network coupled to the second RF generator to receive the second RF signal. The second matching network outputs a second modified RF signal upon receiving the second RF signal. The system further includes a combiner and distributor coupled to an output of the first matching network and an output of the second matching network.

Claim (Index 2):
The power transfer system of  claim 1 , wherein each of the plurality of switches is configured to be coupled to the corresponding one of the plurality of dummy loads to provide a corresponding one of the plurality of combined RF signals to the corresponding one of the plurality of dummy loads, wherein each of the plurality of switches is configured to be coupled to the corresponding one of the outputs of the output circuit to provide the corresponding one of the plurality of combined RF signals to the corresponding one of the plurality of plasma stations.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.94444
- Patent Class: 333.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15254769', '15640053', '16040433', '14636007', '15439838']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8707588697547847
- 35 USC 102 Novelty (BERT): 0.5313730830945078
- Combined Prediction Score: 0.836820291088757
- Mean Citation Score: 257.90495
- Max Citation Score: 371.06616
- Similarity Product: 288.8767604324055

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