Fractal memory and computational methods and systems based on nanotechnology


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Alex Nugent

ABSTRACT

Fractal memory systems and methods include a fractal tree that includes one or more fractal trunks. One or more object circuits are associated with the fractal tree. The object circuit(s) is configured from a plurality of nanotechnology-based components to provide a scalable distributed computing architecture for fractal computing. Additionally, a plurality of router circuits is associated with the fractal tree, wherein one or more fractal addresses output from a recognition circuit can be provided at a fractal trunk by the router circuits. More... »

Related SciGraph Publications

  • 2000-12. Nanotubes for Electronics in SCIENTIFIC AMERICAN
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2480", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "name": "Alex Nugent", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1088/0957-4484/13/1/308", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006229098"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jp972026r", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016636426"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1103/physreve.59.6896", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017715008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.123941", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018868771"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0169-4332(98)00506-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037841902"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.280.5367.1253", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043682209"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1088/0957-4484/13/1/301", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045550569"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/scientificamerican1200-62", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046624726", 
              "https://doi.org/10.1038/scientificamerican1200-62"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1063821", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046634290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ja0024439", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055717152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/jp0102365", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1056045534"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.126811", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057690911"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.127078", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057691170"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.127079", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057691171"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1290272", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057692374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1373413", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057700218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1377627", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057700616"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1063/1.1396632", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1057702537"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/5992.931903", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061195446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/science.1058782", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062444451"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "description": "

    Fractal memory systems and methods include a fractal tree that includes one or more fractal trunks. One or more object circuits are associated with the fractal tree. The object circuit(s) is configured from a plurality of nanotechnology-based components to provide a scalable distributed computing architecture for fractal computing. Additionally, a plurality of router circuits is associated with the fractal tree, wherein one or more fractal addresses output from a recognition circuit can be provided at a fractal trunk by the router circuits.

    ", "id": "sg:patent.US-7502769-B2", "keywords": [ "fractal", "computational method", "nanotechnology", "memory system", "method", "circuit", "plurality", "Architecture as Topic", "wherein", "recognition" ], "name": "Fractal memory and computational methods and systems based on nanotechnology", "sameAs": [ "https://app.dimensions.ai/details/patent/US-7502769-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:31", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com.uberresearch.data.dev.patents-pipeline/full_run_10/sn-export/5eb3e5a348d7f117b22cc85fb0b02730/0000100128-0000348334/json_export_1a463c9e.jsonl", "type": "Patent" } ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/patent.US-7502769-B2'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-7502769-B2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-7502769-B2'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-7502769-B2'


     

    This table displays all metadata directly associated to this object as RDF triples.

    90 TRIPLES      13 PREDICATES      42 URIs      17 LITERALS      2 BLANK NODES

    Subject Predicate Object
    1 sg:patent.US-7502769-B2 schema:about anzsrc-for:2480
    2 schema:author Nfdc94130176e48d08a3ee99254434c10
    3 schema:citation sg:pub.10.1038/scientificamerican1200-62
    4 https://doi.org/10.1016/s0169-4332(98)00506-6
    5 https://doi.org/10.1021/ja0024439
    6 https://doi.org/10.1021/jp0102365
    7 https://doi.org/10.1021/jp972026r
    8 https://doi.org/10.1063/1.123941
    9 https://doi.org/10.1063/1.126811
    10 https://doi.org/10.1063/1.127078
    11 https://doi.org/10.1063/1.127079
    12 https://doi.org/10.1063/1.1290272
    13 https://doi.org/10.1063/1.1373413
    14 https://doi.org/10.1063/1.1377627
    15 https://doi.org/10.1063/1.1396632
    16 https://doi.org/10.1088/0957-4484/13/1/301
    17 https://doi.org/10.1088/0957-4484/13/1/308
    18 https://doi.org/10.1103/physreve.59.6896
    19 https://doi.org/10.1109/5992.931903
    20 https://doi.org/10.1126/science.1058782
    21 https://doi.org/10.1126/science.1063821
    22 https://doi.org/10.1126/science.280.5367.1253
    23 schema:description <p num="p-0001">Fractal memory systems and methods include a fractal tree that includes one or more fractal trunks. One or more object circuits are associated with the fractal tree. The object circuit(s) is configured from a plurality of nanotechnology-based components to provide a scalable distributed computing architecture for fractal computing. Additionally, a plurality of router circuits is associated with the fractal tree, wherein one or more fractal addresses output from a recognition circuit can be provided at a fractal trunk by the router circuits.</p>
    24 schema:keywords Architecture as Topic
    25 circuit
    26 computational method
    27 fractal
    28 memory system
    29 method
    30 nanotechnology
    31 plurality
    32 recognition
    33 wherein
    34 schema:name Fractal memory and computational methods and systems based on nanotechnology
    35 schema:sameAs https://app.dimensions.ai/details/patent/US-7502769-B2
    36 schema:sdDatePublished 2019-03-07T15:31
    37 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    38 schema:sdPublisher N9476355853a84b9e80812d3bc9db43a6
    39 sgo:license sg:explorer/license/
    40 sgo:sdDataset patents
    41 rdf:type sgo:Patent
    42 N0299c22582334336805f980eef735a7c schema:name Alex Nugent
    43 rdf:type schema:Person
    44 N9476355853a84b9e80812d3bc9db43a6 schema:name Springer Nature - SN SciGraph project
    45 rdf:type schema:Organization
    46 Nfdc94130176e48d08a3ee99254434c10 rdf:first N0299c22582334336805f980eef735a7c
    47 rdf:rest rdf:nil
    48 anzsrc-for:2480 schema:inDefinedTermSet anzsrc-for:
    49 rdf:type schema:DefinedTerm
    50 sg:pub.10.1038/scientificamerican1200-62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046624726
    51 https://doi.org/10.1038/scientificamerican1200-62
    52 rdf:type schema:CreativeWork
    53 https://doi.org/10.1016/s0169-4332(98)00506-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037841902
    54 rdf:type schema:CreativeWork
    55 https://doi.org/10.1021/ja0024439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055717152
    56 rdf:type schema:CreativeWork
    57 https://doi.org/10.1021/jp0102365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056045534
    58 rdf:type schema:CreativeWork
    59 https://doi.org/10.1021/jp972026r schema:sameAs https://app.dimensions.ai/details/publication/pub.1016636426
    60 rdf:type schema:CreativeWork
    61 https://doi.org/10.1063/1.123941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018868771
    62 rdf:type schema:CreativeWork
    63 https://doi.org/10.1063/1.126811 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057690911
    64 rdf:type schema:CreativeWork
    65 https://doi.org/10.1063/1.127078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057691170
    66 rdf:type schema:CreativeWork
    67 https://doi.org/10.1063/1.127079 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057691171
    68 rdf:type schema:CreativeWork
    69 https://doi.org/10.1063/1.1290272 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057692374
    70 rdf:type schema:CreativeWork
    71 https://doi.org/10.1063/1.1373413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057700218
    72 rdf:type schema:CreativeWork
    73 https://doi.org/10.1063/1.1377627 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057700616
    74 rdf:type schema:CreativeWork
    75 https://doi.org/10.1063/1.1396632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057702537
    76 rdf:type schema:CreativeWork
    77 https://doi.org/10.1088/0957-4484/13/1/301 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045550569
    78 rdf:type schema:CreativeWork
    79 https://doi.org/10.1088/0957-4484/13/1/308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006229098
    80 rdf:type schema:CreativeWork
    81 https://doi.org/10.1103/physreve.59.6896 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017715008
    82 rdf:type schema:CreativeWork
    83 https://doi.org/10.1109/5992.931903 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061195446
    84 rdf:type schema:CreativeWork
    85 https://doi.org/10.1126/science.1058782 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062444451
    86 rdf:type schema:CreativeWork
    87 https://doi.org/10.1126/science.1063821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046634290
    88 rdf:type schema:CreativeWork
    89 https://doi.org/10.1126/science.280.5367.1253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043682209
    90 rdf:type schema:CreativeWork
     




    Preview window. Press ESC to close (or click here)


    ...