🐦 Twitter Post Details

Viewing enriched Twitter post

@PyTorch

Driving optimized nuclear reactor design with AI Physics and Digital Twins The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. However, validating new designs presents significant challenges including expense, time constraints, and inherent complexities of physical experiments and simulations. NVIDIA CUDA-X libraries, the PhysicsNeMo AI Physics framework, and the Omniverse libraries help developers in the nuclear industry address these challenges by delivering GPU-accelerated, AI-augmented simulation solutions for real-time digital twins. Read the full post: https://t.co/KKDn0O3LHj

Media 1
View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2054684592280383907/media_0.jpg",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2054684592280383907/media_0.jpg",
      "type": "photo",
      "filename": "media_0.jpg"
    }
  ],
  "processed_at": "2026-05-13T22:18:38.871277",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2054684592280383907",
  "url": "https://x.com/PyTorch/status/2054684592280383907",
  "twitterUrl": "https://twitter.com/PyTorch/status/2054684592280383907",
  "text": "Driving optimized nuclear reactor design with AI Physics and Digital Twins\n\nThe development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. However, validating new designs presents significant challenges including expense, time constraints, and inherent complexities of physical experiments and simulations.\n\nNVIDIA CUDA-X libraries, the PhysicsNeMo AI Physics framework, and the Omniverse libraries help developers in the nuclear industry address these challenges by delivering GPU-accelerated, AI-augmented simulation solutions for real-time digital twins. \n\nRead the full post:\nhttps://t.co/KKDn0O3LHj",
  "source": "Twitter for iPhone",
  "retweetCount": 0,
  "replyCount": 0,
  "likeCount": 2,
  "quoteCount": 0,
  "viewCount": 396,
  "createdAt": "Wed May 13 22:05:55 +0000 2026",
  "lang": "en",
  "bookmarkCount": 0,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2054684592280383907",
  "displayTextRange": [
    0,
    271
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "PyTorch",
    "url": "https://x.com/PyTorch",
    "twitterUrl": "https://twitter.com/PyTorch",
    "id": "776585502606721024",
    "name": "PyTorch",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1813965160702451712/yXV1vRhr_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/776585502606721024/1761575044",
    "description": "",
    "location": "",
    "followers": 491374,
    "following": 85,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Fri Sep 16 00:56:26 +0000 2016",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 919,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 1459,
    "statusesCount": 3255,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {
      "description": "Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation",
      "entities": {
        "description": {
          "hashtags": [
            {
              "indices": [
                132,
                150
              ],
              "text": "PyTorchFoundation"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "pytorch.org",
              "expanded_url": "http://pytorch.org",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/6SwTBhUwTJ"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {},
  "card": {
    "binding_values": [
      {
        "key": "photo_image_full_size_large",
        "value": {
          "image_value": {
            "height": 262,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=600x314",
            "width": 500
          }
        }
      },
      {
        "key": "thumbnail_image",
        "value": {
          "image_value": {
            "height": 150,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=280x150",
            "width": 266
          }
        }
      },
      {
        "key": "description",
        "value": {
          "string_value": "The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. Meeting these requirements calls for new approaches…"
        }
      },
      {
        "key": "domain",
        "value": {
          "string_value": "developer.nvidia.com"
        }
      },
      {
        "key": "thumbnail_image_large",
        "value": {
          "image_value": {
            "height": 627,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=1200x627",
            "width": 1200
          }
        }
      },
      {
        "key": "summary_photo_image_small",
        "value": {
          "image_value": {
            "height": 202,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=386x202",
            "width": 386
          }
        }
      },
      {
        "key": "thumbnail_image_original",
        "value": {
          "image_value": {
            "height": 282,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=orig",
            "width": 500
          }
        }
      },
      {
        "key": "photo_image_full_size_small",
        "value": {
          "image_value": {
            "height": 202,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=386x202",
            "width": 386
          }
        }
      },
      {
        "key": "summary_photo_image_large",
        "value": {
          "image_value": {
            "height": 262,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=600x314",
            "width": 500
          }
        }
      },
      {
        "key": "thumbnail_image_small",
        "value": {
          "image_value": {
            "height": 81,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=144x144",
            "width": 144
          }
        }
      },
      {
        "key": "thumbnail_image_x_large",
        "value": {
          "image_value": {
            "height": 282,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=png&name=2048x2048_2_exp",
            "width": 500
          }
        }
      },
      {
        "key": "photo_image_full_size_original",
        "value": {
          "image_value": {
            "height": 282,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=orig",
            "width": 500
          }
        }
      },
      {
        "key": "vanity_url",
        "value": {
          "scribe_key": "vanity_url",
          "string_value": "developer.nvidia.com"
        }
      },
      {
        "key": "photo_image_full_size",
        "value": {
          "image_value": {
            "height": 262,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=600x314",
            "width": 500
          }
        }
      },
      {
        "key": "thumbnail_image_color",
        "value": {
          "image_color_value": {
            "palette": [
              {
                "percentage": 34.21,
                "rgb": {
                  "blue": 35,
                  "green": 38,
                  "red": 36
                }
              },
              {
                "percentage": 13.67,
                "rgb": {
                  "blue": 200,
                  "green": 201,
                  "red": 199
                }
              },
              {
                "percentage": 7.26,
                "rgb": {
                  "blue": 189,
                  "green": 181,
                  "red": 77
                }
              },
              {
                "percentage": 4.17,
                "rgb": {
                  "blue": 56,
                  "green": 225,
                  "red": 196
                }
              },
              {
                "percentage": 2.9,
                "rgb": {
                  "blue": 79,
                  "green": 222,
                  "red": 95
                }
              }
            ]
          }
        }
      },
      {
        "key": "title",
        "value": {
          "string_value": "Accelerate Clean, Modular, Nuclear Reactor Design with AI Physics | NVIDIA Technical Blog"
        }
      },
      {
        "key": "summary_photo_image_color",
        "value": {
          "image_color_value": {
            "palette": [
              {
                "percentage": 34.21,
                "rgb": {
                  "blue": 35,
                  "green": 38,
                  "red": 36
                }
              },
              {
                "percentage": 13.67,
                "rgb": {
                  "blue": 200,
                  "green": 201,
                  "red": 199
                }
              },
              {
                "percentage": 7.26,
                "rgb": {
                  "blue": 189,
                  "green": 181,
                  "red": 77
                }
              },
              {
                "percentage": 4.17,
                "rgb": {
                  "blue": 56,
                  "green": 225,
                  "red": 196
                }
              },
              {
                "percentage": 2.9,
                "rgb": {
                  "blue": 79,
                  "green": 222,
                  "red": 95
                }
              }
            ]
          }
        }
      },
      {
        "key": "summary_photo_image_x_large",
        "value": {
          "image_value": {
            "height": 282,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=png&name=2048x2048_2_exp",
            "width": 500
          }
        }
      },
      {
        "key": "summary_photo_image",
        "value": {
          "image_value": {
            "height": 262,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=600x314",
            "width": 500
          }
        }
      },
      {
        "key": "photo_image_full_size_color",
        "value": {
          "image_color_value": {
            "palette": [
              {
                "percentage": 34.21,
                "rgb": {
                  "blue": 35,
                  "green": 38,
                  "red": 36
                }
              },
              {
                "percentage": 13.67,
                "rgb": {
                  "blue": 200,
                  "green": 201,
                  "red": 199
                }
              },
              {
                "percentage": 7.26,
                "rgb": {
                  "blue": 189,
                  "green": 181,
                  "red": 77
                }
              },
              {
                "percentage": 4.17,
                "rgb": {
                  "blue": 56,
                  "green": 225,
                  "red": 196
                }
              },
              {
                "percentage": 2.9,
                "rgb": {
                  "blue": 79,
                  "green": 222,
                  "red": 95
                }
              }
            ]
          }
        }
      },
      {
        "key": "photo_image_full_size_x_large",
        "value": {
          "image_value": {
            "height": 282,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=png&name=2048x2048_2_exp",
            "width": 500
          }
        }
      },
      {
        "key": "card_url",
        "value": {
          "scribe_key": "card_url",
          "string_value": "https://t.co/KKDn0O3LHj"
        }
      },
      {
        "key": "summary_photo_image_original",
        "value": {
          "image_value": {
            "height": 282,
            "url": "https://pbs.twimg.com/card_img/2051892427485548544/b5L7tYlt?format=jpg&name=orig",
            "width": 500
          }
        }
      }
    ],
    "card_platform": {
      "platform": {
        "audience": {
          "name": "production"
        },
        "device": {
          "name": "iPhone",
          "version": "13"
        }
      }
    },
    "name": "summary_large_image",
    "url": "https://t.co/KKDn0O3LHj",
    "user_refs_results": []
  },
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "urls": [
      {
        "display_url": "developer.nvidia.com/blog/accelerat…",
        "expanded_url": "https://developer.nvidia.com/blog/accelerate-clean-modular-nuclear-reactor-design-with-ai-physics/",
        "indices": [
          649,
          672
        ],
        "url": "https://t.co/KKDn0O3LHj"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "communityInfo": null,
  "article": null
}