| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_44f04d319aaa6e66f240244bc905f452 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10061
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30136 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0004
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N23-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-84
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-70 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-60 |
| filingDate |
2019-09-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0f8968680d1b4038433b73f3b21f1717
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f04d4a3fed6299873f214efb793e4444
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_105d258f6510da052cd5ffaa35420691
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_44f5b3dcff497a8ad94369531822d986 |
| publicationDate |
2020-05-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020143533-A1 |
| titleOfInvention |
Analyzing method for perovskite structure using machine learning |
| abstract |
A method of analyzing a perovskite structure using machine learning, the method comprising the steps of: (a) obtaining an atomic image using an atomic structure simulator; (b) making a CNN model learn the atomic image; and (c) obtaining an atomic image of an actual substance using a TEM or a STEM and then applying the image to the learnt CNN model. |
| priorityDate |
2018-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |