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8ce6287712e7262b5f9b · Atomistic Line Graph Neural Network for Improved Materials Property Predictions

Atomistic Line Graph Neural Network for Improved Materials Property Predictions

Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning models. While most existing GNN models for atomistic predictions

Официальный источник · 2021-12-05

Полные импортированные сведения карточки
{
  "title_en": "Atomistic Line Graph Neural Network for Improved Materials Property Predictions",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2021-12-05",
  "date_original": "December 5, 2021",
  "url": "https://www.nist.gov/publications/atomistic-line-graph-neural-network-improved-materials-property-predictions",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Kamal Choudhary , Brian DeCost",
  "abstract_excerpt_en": "Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning models. While most existing GNN models for atomistic predictions",
  "id": "8ce6287712e7262b5f9b",
  "sources": [
    "NIST Publications"
  ],
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    {
      "title_en": "Atomistic Line Graph Neural Network for Improved Materials Property Predictions",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2021-12-05",
      "date_original": "December 5, 2021",
      "url": "https://www.nist.gov/publications/atomistic-line-graph-neural-network-improved-materials-property-predictions",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Kamal Choudhary , Brian DeCost",
      "abstract_excerpt_en": "Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning models. While most existing GNN models for atomistic predictions"
    }
  ],
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}