PATENT CLAIM ANALYSIS

Application Number: 16387206
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-09
Patent Classification: ["252", "500000"]

Abstract:
Disclosed is a method to produce composite materials, which contain customized mixes of nano- and/or micro-particles with tailored electromagnetic spectral properties, structural elements based thereon, in particular layers, but also bulk materials including inhomogeneous bulk materials. In some embodiments the IR-reflectivity is enhanced predominantly independently of reflectivity for visible wavelength. The enhanced IR-reflectivity is achieved by combining spectral properties from a plurality of nano- and/or micro-particles of distinct size distribution, shape distribution, chemical composition, crystal structure, and crystallinity distribution. This enables to approximate desired target spectra better than know solutions, which comprise only a single type of particles and/or an uncontrolled natural size distribution. Furthermore disclosed are methods of manufacturing such materials, including ceramics, clay, and concrete, as well as applications related to design and construction of buildings or other confined spaces.

Claim (Index 57):
A system comprising the composite material according to  claim 33 , further comprising:\n a plurality of reservoirs R i  with i defined as an integer ranging from 1 to k, corresponding to said plurality of distinct populations of nano- or micro-particles and/or of nano- or micro-cavities; an electronic controller configured to determine the composition ratio of said plurality of populations of nano- or micro-particles and/or of nano- or micro-cavities via an experimental optimization loop comprising at least the following steps:\n A) creating a mixture of said populations of nano- or micro-particles and/or nano- or micro-cavities based on taking portions c i  from each reservoir R i , wherein c i  shall denote the relative contribution of nano- or micro-particles and/or nano- or micro-cavities from each corresponding reservoir R i  to the mixture, thus all scalars c i  forming a composition vector denoted c, \n B) embedding said mixture of said nano- or micro-particles and/or nano- or micro-cavities in the carrier material thereby creating the composite material, \n C) using an amount of said composite material to determine a broadband spectral reflectance of the composite material at least within VIS and NIR, and \n D) determining a quantity, which is a measure for the degree with which the broadband spectral reflectance of the composite material produced during step B does match the specific targeted broadband spectral reflectance, \n E) determining if a predetermined threshold of said quantity has been reached, wherein the predetermined threshold measures the degree with which the broadband spectral reflectance of the composite material produced during step B does match the specific targeted broadband spectral reflectance, and:\n E(1) if said threshold is not reached, having an optimization algorithm determine a new composition vector  j+1 c of the mixture of said nano- or micro-particles and/or nano- or micro-cavities based on portions  j+1 c i  taken from each reservoir R i  during a next iterative step j+1 and continuing the iteration of the optimization loop at step A; and \n E(2) if said threshold is reached or surpassed, producing larger quantities of said composite material for subsequent use.

Metadata:
- Claim Count in Document: 71.0
- Percentile: 100.0
- Lexical Diversity: 1.48515
- Patent Class: 252.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14831813', '14958494', '15209444', '15449750', '15449664']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.799568867520564
- 35 USC 102 Novelty (BERT): 0.5882673687343097
- Combined Prediction Score: 0.7784387176419386
- Mean Citation Score: 304.833542
- Max Citation Score: 508.34943
- Similarity Product: 468.8296414988494

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