PATENT CLAIM ANALYSIS

Application Number: 15774025
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-03
Patent Classification: ["700", "001000"]

Abstract:
Methods applicable in metrology modules and tools are provided, which enable adjusting metrology measurement parameters with respect to process variation, without re-initiating metrology recipe setup. Methods comprise, during an initial metrology recipe setup, recording a metrology process window and deriving baseline information therefrom, and during operation, quantifying the process variation with respect to the baseline information, and adjusting the metrology measurement parameters within the metrology process window with respect to the quantified process variation. The quick adjustment of metrology parameters avoids metrology-related process delays and releases prior art bottlenecks related thereto. Models of effects of various process variation factors on the metrology measurements may be used to enhance the derivation of required metrology tuning and enable their application with minimal delays to the production process.

Claim (Index 11):
The method of  claim 1 , further comprising deriving, for the recorded metrology process window, at least one landscape comprising an at least partially continuous dependency of at least one metrology metric on at least one recipe parameter, by simulation or in preparatory measurements, and carrying out the quantifying and the adjusting with respect thereto.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.91549
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15329618', '15568304', '15090389', '14928514', '14152562']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4008120071879511
- 35 USC 102 Novelty (BERT): 0.4850284948693252
- Combined Prediction Score: 0.4092336559560885
- Mean Citation Score: 188.05351
- Max Citation Score: 241.14612
- Similarity Product: 184.09785164635417

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