{
  "edges": [
    {
      "evidence": {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_code_and_participant_pic",
        "sourceId": "cordis:101099555:participant:999897729",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "actor:cordis-pic:999897729",
      "id": "claim:funding:101099555:999897729",
      "relation": "participates_in",
      "to": "cordis:101099555"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:5198d42b8fe14db7a4d1f32b",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:5198d42b8fe14db7a4d1f32b",
      "relation": "has_observed_output",
      "to": "output:5198d42b8fe14db7a4d1f32b"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:5e28d01b1a672cca858654e9",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:5e28d01b1a672cca858654e9",
      "relation": "has_observed_output",
      "to": "output:5e28d01b1a672cca858654e9"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:6e67bb6dbc302c2c6136af0d",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:6e67bb6dbc302c2c6136af0d",
      "relation": "has_observed_output",
      "to": "output:6e67bb6dbc302c2c6136af0d"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:8968ef22043d3dc9f764c444",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:8968ef22043d3dc9f764c444",
      "relation": "has_observed_output",
      "to": "output:8968ef22043d3dc9f764c444"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:93092f7783295c58418101c5",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:93092f7783295c58418101c5",
      "relation": "has_observed_output",
      "to": "output:93092f7783295c58418101c5"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:9f87f741ccadf5908d65461e",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:9f87f741ccadf5908d65461e",
      "relation": "has_observed_output",
      "to": "output:9f87f741ccadf5908d65461e"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:ac654c926c2d27f3957c0864",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:ac654c926c2d27f3957c0864",
      "relation": "has_observed_output",
      "to": "output:ac654c926c2d27f3957c0864"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:bc4ce2d751721dd33a669a4f",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:bc4ce2d751721dd33a669a4f",
      "relation": "has_observed_output",
      "to": "output:bc4ce2d751721dd33a669a4f"
    },
    {
      "evidence": {
        "dataset": "german-ai-research-to-transfer-index",
        "field": "cordis_project_code",
        "sourceId": "101099555:output:e5dd6983270d288a457a32e4",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      "evidenceClass": "exact",
      "from": "cordis:101099555",
      "id": "edge:project-output:101099555:e5dd6983270d288a457a32e4",
      "relation": "has_observed_output",
      "to": "output:e5dd6983270d288a457a32e4"
    }
  ],
  "entity": {
    "attributes": {
      "acronym": "BAYFLEX",
      "code": "101099555",
      "endDate": "2026-09-30",
      "frameworkProgramme": "HORIZON",
      "funding": {
        "currency": "EUR",
        "germanNetEuContributionCents": "58931875",
        "participantEdgeCount": 1,
        "status": "linked"
      },
      "knowledgeFlow": {
        "citingCountryCount": 37,
        "citingInstitutionCount": 374,
        "distinctCitingWorkCount": 220,
        "firstObservedCitationDate": "2024-01-01",
        "lastObservedCitationDate": "2026-11-01",
        "observedCitationEdgeCount": 225,
        "status": "full_input_observation"
      },
      "research": {
        "citationDataOutputCount": 25,
        "citedOutputCount": 4,
        "firstPublicationDate": "2023-11-20",
        "lastPublicationDate": "2026-01-19",
        "openAccessOutputCount": 21,
        "outputCount": 25,
        "status": "linked",
        "totalCitations": 168,
        "typeCounts": {
          "dataset": 2,
          "other": 0,
          "publication": 23,
          "software": 0
        }
      },
      "startDate": "2023-04-01"
    },
    "description": "BAYesian Inference with FLEXible electronics for biomedical Applications",
    "edgeCount": 10,
    "id": "cordis:101099555",
    "indexable": true,
    "label": "BAYFLEX · BAYesian Inference with FLEXible electronics for biomedical Applications",
    "links": [
      {
        "kind": "official_source",
        "label": "CORDIS",
        "url": "https://cordis.europa.eu/project/id/101099555"
      },
      {
        "kind": "local_dossier",
        "label": "KI-Innovationspfad",
        "url": "/tools/ki-innovationspfad/?project=101099555"
      }
    ],
    "slug": "project-cordis-101099555-137780f7",
    "sourceRefs": [
      {
        "dataset": "german-ai-innovation-path",
        "field": "cordis_project_id",
        "sourceId": "cordis:101099555",
        "url": "https://cordis.europa.eu/project/id/101099555"
      }
    ],
    "type": "project"
  },
  "fingerprint": "sha256:35187cbca9a7bcbe4dc33dd50c1dd1d0f87afbe61b3db453de86f407e54ae584",
  "generatedAt": "2026-11-12T09:00:31.263Z",
  "neighbors": [
    {
      "attributes": {
        "aliases": [
          "TECHNISCHE UNIVERSITAET DRESDEN"
        ],
        "identifiers": [
          {
            "scheme": "cordis-pic",
            "value": "999897729"
          }
        ],
        "identityBasis": "official_identifier",
        "kind": "organization",
        "lanes": [
          "funding"
        ],
        "roles": [
          "funding_participant"
        ]
      },
      "edgeCount": 37,
      "id": "actor:cordis-pic:999897729",
      "indexable": true,
      "label": "TECHNISCHE UNIVERSITAET DRESDEN",
      "links": [
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101003469"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101008701"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101017424"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101057091"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101057434"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101058409"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101080581"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101095407"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101096312"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101099555"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101112089"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101119767"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101120727"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101132379"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101168976"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101226674"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/101296742"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/641639"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/647769"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/664786"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/671566"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/681988"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/690494"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/730983"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/754316"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/769807"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/777154"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/785907"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/820323"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/822337"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/826060"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/826655"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/860898"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/948112"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/956830"
        },
        {
          "kind": "evidence_source",
          "label": "german-ai-innovation-path",
          "url": "https://cordis.europa.eu/project/id/957216"
        }
      ],
      "slug": "actor-cordis-pic-999897729-8c65c9f9",
      "sourceRefs": [
        {
          "dataset": "german-ai-innovation-path",
          "field": "official_identifier",
          "recordCount": 36,
          "sourceId": "cordis:101003469:participant:999897729",
          "url": "https://cordis.europa.eu/project/id/101003469"
        }
      ],
      "type": "actor"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": false,
        "openAireId": "doi_dedup___::98505bf9338ad3eff2b6786895e54fa3",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.16901103"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.16901104"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.16902343"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.16903506"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.16903507"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.16909683"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.18161514"
          }
        ],
        "publicationDate": "2025-08-19"
      },
      "edgeCount": 1,
      "id": "output:5198d42b8fe14db7a4d1f32b",
      "indexable": true,
      "label": "Neuromorphic Bayesian Classification System Based on Stochastic Computing for Resource-Constrained Edge Devices",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A98505bf9338ad3eff2b6786895e54fa3"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.16901103",
          "url": "https://doi.org/10.5281/zenodo.16901103"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.16901104",
          "url": "https://doi.org/10.5281/zenodo.16901104"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.16902343",
          "url": "https://doi.org/10.5281/zenodo.16902343"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.16903506",
          "url": "https://doi.org/10.5281/zenodo.16903506"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.16903507",
          "url": "https://doi.org/10.5281/zenodo.16903507"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.16909683",
          "url": "https://doi.org/10.5281/zenodo.16909683"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.18161514",
          "url": "https://doi.org/10.5281/zenodo.18161514"
        }
      ],
      "slug": "output-5198d42b8fe14db7a4d1f32b-527f050b",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::98505bf9338ad3eff2b6786895e54fa3",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A98505bf9338ad3eff2b6786895e54fa3"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": false,
        "openAireId": "doi_dedup___::abeb7f77264e1aaed9a0788835925793",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1109/jflex.2024.3523866"
          }
        ],
        "publicationDate": "2024-11-01"
      },
      "edgeCount": 1,
      "id": "output:5e28d01b1a672cca858654e9",
      "indexable": true,
      "label": "A Unified Physics-Based Model for Analyzing Hysteresis in Organic Thin-Film Transistors",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3Aabeb7f77264e1aaed9a0788835925793"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1109/jflex.2024.3523866",
          "url": "https://doi.org/10.1109/jflex.2024.3523866"
        }
      ],
      "slug": "output-5e28d01b1a672cca858654e9-c5d2a5e1",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::abeb7f77264e1aaed9a0788835925793",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3Aabeb7f77264e1aaed9a0788835925793"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_________::d19407bbf7a495aa686c75a81e29b31c",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1002/aelm.202500519"
          }
        ],
        "publicationDate": "2025-11-29"
      },
      "edgeCount": 1,
      "id": "output:6e67bb6dbc302c2c6136af0d",
      "indexable": true,
      "label": "Organic Neuromorphic Circuits for Real‐Time Biosignal Applications",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3Ad19407bbf7a495aa686c75a81e29b31c"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1002/aelm.202500519",
          "url": "https://doi.org/10.1002/aelm.202500519"
        }
      ],
      "slug": "output-6e67bb6dbc302c2c6136af0d-d0901849",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_________::d19407bbf7a495aa686c75a81e29b31c",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3Ad19407bbf7a495aa686c75a81e29b31c"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 4,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::4e839d2bec618db5ff98f9df90f11ce2",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1002/aelm.202400515"
          }
        ],
        "publicationDate": "2024-12-01"
      },
      "edgeCount": 1,
      "id": "output:8968ef22043d3dc9f764c444",
      "indexable": true,
      "label": "Simulating Organic Thin Film Transistors Using Multilayer Perceptron Regression Models to Enable Circuit Design",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A4e839d2bec618db5ff98f9df90f11ce2"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1002/aelm.202400515",
          "url": "https://doi.org/10.1002/aelm.202400515"
        }
      ],
      "slug": "output-8968ef22043d3dc9f764c444-3fe281f0",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::4e839d2bec618db5ff98f9df90f11ce2",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A4e839d2bec618db5ff98f9df90f11ce2"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::02dc6848168d03814da645fe6040b0e3",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.18301113"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.18301114"
          }
        ],
        "publicationDate": "2026-01-19"
      },
      "edgeCount": 1,
      "id": "output:93092f7783295c58418101c5",
      "indexable": true,
      "label": "Bayesian classification using Muller C-element",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A02dc6848168d03814da645fe6040b0e3"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.18301113",
          "url": "https://doi.org/10.5281/zenodo.18301113"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.18301114",
          "url": "https://doi.org/10.5281/zenodo.18301114"
        }
      ],
      "slug": "output-93092f7783295c58418101c5-092a3fda",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::02dc6848168d03814da645fe6040b0e3",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A02dc6848168d03814da645fe6040b0e3"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_________::8f8761451562a63af8f82c598500f425",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1002/aelm.202500374"
          }
        ],
        "publicationDate": "2025-09-09"
      },
      "edgeCount": 1,
      "id": "output:9f87f741ccadf5908d65461e",
      "indexable": true,
      "label": "A DC Compact Model of an Organic Electrochemical Transistor Based on a Semiconductor Physics and Thermodynamic Approach",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3A8f8761451562a63af8f82c598500f425"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1002/aelm.202500374",
          "url": "https://doi.org/10.1002/aelm.202500374"
        }
      ],
      "slug": "output-9f87f741ccadf5908d65461e-6aa7ce45",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_________::8f8761451562a63af8f82c598500f425",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3A8f8761451562a63af8f82c598500f425"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 13,
        "isOpenAccess": true,
        "openAireId": "doi_dedup___::6ae8f652885c0cbde33567b649612e10",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1088/2399-1984/ad92d1"
          },
          {
            "scheme": "doi",
            "value": "10.18154/rwth-2024-11831"
          }
        ],
        "publicationDate": "2024-12-01"
      },
      "edgeCount": 1,
      "id": "output:ac654c926c2d27f3957c0864",
      "indexable": true,
      "label": "Roadmap for Schottky barrier transistors",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A6ae8f652885c0cbde33567b649612e10"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1088/2399-1984/ad92d1",
          "url": "https://doi.org/10.1088/2399-1984/ad92d1"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.18154/rwth-2024-11831",
          "url": "https://doi.org/10.18154/rwth-2024-11831"
        }
      ],
      "slug": "output-ac654c926c2d27f3957c0864-5c78b9f4",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::6ae8f652885c0cbde33567b649612e10",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A6ae8f652885c0cbde33567b649612e10"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": false,
        "openAireId": "doi_dedup___::8b91f49114b7580b1ff582393422fa88",
        "outputType": "dataset",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.15690458"
          },
          {
            "scheme": "doi",
            "value": "10.5281/zenodo.15690459"
          }
        ],
        "publicationDate": "2025-06-18"
      },
      "edgeCount": 1,
      "id": "output:bc4ce2d751721dd33a669a4f",
      "indexable": true,
      "label": "Documented Process Flow of PEDOT:PSS-Based Electrodes for Biopotential Monitoring",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A8b91f49114b7580b1ff582393422fa88"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.15690458",
          "url": "https://doi.org/10.5281/zenodo.15690458"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.5281/zenodo.15690459",
          "url": "https://doi.org/10.5281/zenodo.15690459"
        }
      ],
      "slug": "output-bc4ce2d751721dd33a669a4f-79c174eb",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_dedup___::8b91f49114b7580b1ff582393422fa88",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_dedup___%3A%3A8b91f49114b7580b1ff582393422fa88"
        }
      ],
      "type": "output"
    },
    {
      "attributes": {
        "citationCount": 0,
        "isOpenAccess": true,
        "openAireId": "doi_________::cedd3b949ea608d50064d34cd10b2050",
        "outputType": "publication",
        "persistentIdentifiers": [
          {
            "scheme": "doi",
            "value": "10.1109/jeds.2025.3572172"
          }
        ],
        "publicationDate": "2025-01-01"
      },
      "edgeCount": 1,
      "id": "output:e5dd6983270d288a457a32e4",
      "indexable": true,
      "label": "Erratum to “Charge-Based Compact Modeling of OECTs for Neuromorphic Applications”",
      "links": [
        {
          "kind": "official_source",
          "label": "OpenAIRE",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3Acedd3b949ea608d50064d34cd10b2050"
        },
        {
          "kind": "persistent_identifier",
          "label": "DOI 10.1109/jeds.2025.3572172",
          "url": "https://doi.org/10.1109/jeds.2025.3572172"
        }
      ],
      "slug": "output-e5dd6983270d288a457a32e4-81e113a1",
      "sourceRefs": [
        {
          "dataset": "german-ai-research-to-transfer-index",
          "field": "openaire_research_product_id",
          "sourceId": "doi_________::cedd3b949ea608d50064d34cd10b2050",
          "url": "https://api.openaire.eu/graph/v3/research-products/doi_________%3A%3Acedd3b949ea608d50064d34cd10b2050"
        }
      ],
      "type": "output"
    }
  ],
  "schemaVersion": "ki-evidenznetz.entity.v1"
}
