PATENT CLAIM ANALYSIS

Application Number: 15964773
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-03
Patent Classification: ["264", "221000"]

Abstract:
The present invention relates to methods for producing a three-dimensional ordered porous microstructure. In the procedure where a three-dimensional ordered microstructure is produced using a colloidal crystal templating process, the particles in the three-dimensional ordered microstructure is subjected to a deformation treatment, so as to effectively increase the contact between orderly arranged particles. The three-dimensional ordered microstructure thus produced is used as a template to create a porous inverse microstructure. The invention further relates to a monolithic column produced thereby.

Claim (Index 1):
A method for producing a three-dimensional ordered porous microstructure, comprising the steps of:\n A. forming a three-dimensional ordered microstructure of substantially spherical particles, so that interstitial voids are formed between the particles; B. deforming the substantially spherical particles in the three-dimensional ordered microstructure, so that the respective particles are deformed to have a longest radius R and a shortest radius r, where r/R ratio is greater than \u221a3/2 but smaller than 1; C. filling an inverse opal material into the interstitial voids; and D. removing the three-dimensional ordered microstructure to obtain the three-dimensional ordered porous microstructure.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 1.79167
- Patent Class: 264.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['09992084', '14188385', '12705534', '11631341', '12074727']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.733190599989587
- 35 USC 102 Novelty (BERT): 0.4986669927055241
- Combined Prediction Score: 0.7097382392611807
- Mean Citation Score: 189.1275
- Max Citation Score: 219.5833
- Similarity Product: 152.7506972682774

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

Dataset: test