{"id":10881,"date":"2024-08-13T02:06:27","date_gmt":"2024-08-12T17:06:27","guid":{"rendered":"https:\/\/www.stechstar.com\/user\/wordpress\/?p=10881"},"modified":"2026-08-17T09:52:10","modified_gmt":"2026-08-17T00:52:10","slug":"%ec%9d%b8%ea%b3%b5%ec%a7%80%eb%8a%a5-%ea%b8%b0%ec%88%a0-ai-%ea%b8%b0%eb%b0%98-%eb%ac%bc%eb%a6%ac-%ec%a0%95%eb%b3%b4-%ec%8b%a0%ea%b2%bd%eb%a7%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%8b%9c","status":"publish","type":"post","link":"https:\/\/www.stechstar.com\/user\/wordpress\/%ec%9d%b8%ea%b3%b5%ec%a7%80%eb%8a%a5-%ea%b8%b0%ec%88%a0-ai-%ea%b8%b0%eb%b0%98-%eb%ac%bc%eb%a6%ac-%ec%a0%95%eb%b3%b4-%ec%8b%a0%ea%b2%bd%eb%a7%9d%ec%9d%84-%ec%9d%b4%ec%9a%a9%ed%95%9c-%ec%8b%9c\/","title":{"rendered":"[\uc778\uacf5\uc9c0\ub2a5 \uae30\uc220] AI \uae30\ubc18 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \uc2dc\ubbac\ub808\uc774\uc158"},"content":{"rendered":"

[\uc778\uacf5\uc9c0\ub2a5 \uae30\uc220] AI \uae30\ubc18 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \uc2dc\ubbac\ub808\uc774\uc158<\/h1>\n

AI \uae30\ubc18 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744<\/h1>\n

\uc774\uc6a9\ud55c \uc2dc\ubbac\ub808\uc774\uc158<\/h1>\n
\"AI<\/div>\n

\uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \uc2dc\ubbac\ub808\uc774\uc158\uc5d0\uc11c \ucd5c\uadfc \ud654\ub450\uac00 \ub418\uace0 \uc788\ub294 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd(Physics-Informed Neural Network, \uc774\ud558 PINN)\uc5d0 \ub300\ud574\uc11c \ub2e4\ub8e8\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c \uc2dc\ubbac\ub808\uc774\uc158\uc774\ub77c\ub294 \uac83\uc740 \uc720\uccb4\uc5ed\ud559, \uc804\uc790\uae30\ud559 \ub4f1 \uacf5\ud559 \ubb38\uc81c\ub97c \uc288\ud37c\ucef4\ud4e8\ud130\ub97c \uc774\uc6a9\ud55c \uc218\ud559\uc801\uc778 \ubc29\ubc95\uc73c\ub85c \ud478\ub294 \uac83\uc744 \ub9d0\ud569\ub2c8\ub2e4. \uc790\ub3d9\ucc28 \ud615\uc0c1, \ud734\ub300\ud3f0 \uc5f4\uc124\uacc4, \ubc18\ub3c4\uccb4 \uc18c\uc790 \uc2dc\ubbac\ub808\uc774\uc158 \ub4f1\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

\uc804\ud1b5\uc801\uc73c\ub85c \uc2dc\ubbac\ub808\uc774\uc158\uc740 \uc720\ud55c\ucc28\ubd84\ubc95(Finite Difference Method), \uc720\ud55c\uc694\uc18c\ubc95(Finite Element Method), \uadf8\ub9ac\uace0 \uc720\ud55c\uccb4\uc801\ubc95(Finite Volume Method)\uc774\ub77c\uace0 \ud558\ub294 \uc804\uccb4 \ub3c4\uba54\uc778\uc744 \uc791\uc740 \uc694\uc18c\ub85c \ub098\ub204\uc5b4 \uadfc\uc0ac\uc801\uc778 \ud574\ub97c \uad6c\ud558\ub294 \uc218\uce58\ud574\uc11d\uc801\uc778 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc2dc\ubbac\ub808\uc774\uc158\uc744 \ud558\uc600\uc73c\uba70 \uc774 \uacfc\uc815\uc5d0\uc11c \uc5c4\uccad\ub09c \uc591\uc758 \uacc4\uc0b0\uc744 \uc704\ud574 \uc288\ud37c\ucef4\ud4e8\ud130\ub97c \uc0ac\uc6a9\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n

\ud558\uc9c0\ub9cc \ucd5c\uadfc AI\uc758 \ubc1c\uc804\uc73c\ub85c \uc778\ud574 \uc2dc\ubbac\ub808\uc774\uc158 \ubd84\uc57c\uc5d0\ub3c4 AI\ub97c \uc811\ubaa9\uc2dc\ud0a8 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc774\ub77c\ub294 \ubc29\ubc95\uc774 \uc5f0\uad6c\ub418\uae30 \uc2dc\uc791\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 Inverse \ubb38\uc81c\uc640 Ill-posed \ubb38\uc81c \ub4f1 \uc804\ud1b5\uc801\uc778 \uc218\uce58\ud574\uc11d \uae30\ubc95\uc758 \ud55c\uacc4\ub97c \uadf9\ubcf5\ud558\uae30 \uc704\ud574 \ub300\ub450\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n

\uc804\ud1b5\uc801\uc778 \uc218\uce58\ud574\uc11d \ubc29\ubc95<\/h2>\n

\ud1b5\uc0c1\uc801\uc73c\ub85c \uc804\ud1b5\uc801\uc778 \uc218\uce58\ud574\uc11d \ubc29\ubc95\uc774\ub77c \ud568\uc740 \uc720\ud55c\ucc28\ubd84\ubc95, \uc720\ud55c\uc694\uc18c\ubc95, \uadf8\ub9ac\uace0 \uc720\ud55c\uccb4\uc801\ubc95\uc774\ub77c\uace0 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uc138 \uac00\uc9c0 \ubc29\ubc95\uc740 \ubaa8\ub450 \ub3c4\uba54\uc778\uc744 \uc798\uac8c \uc694\uc18c(Element)\ub85c \ub098\ub204\uc5b4 \uac01 \uc694\uc18c\uc5d0\uc11c \uc218\uce58\ud574\uc11d\uc801\uc778 \ubc29\ubc95\uc744 \uc801\uc6a9\ud558\uc5ec \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774\ub807\uac8c \uac01 \uc694\uc18c\uc5d0\uc11c \uacc4\uc0b0\ud55c \uac12\uc744 \ubaa8\uc544\uc11c \uc2dc\ubbac\ub808\uc774\uc158\uc744 \uc218\ud589\ud569\ub2c8\ub2e4.<\/p>\n

\"\"<\/p>\n
\uc720\ud55c\ucc28\ubd84\ubc95<\/strong><\/p>\n
    \n
  • Ui,j+1<\/li>\n
  • Ui-1,j \/ Ui,j \/ Ui+1,j<\/li>\n
  • \u25b3y \/ Ui,j-1<\/li>\n
  • \u25b3x<\/li>\n<\/ul>\n

    \uc720\ud55c\uc694\uc18c\ubc95<\/strong><\/p>\n

      \n
    • \ub178\ud2b8<\/li>\n
    • \uc694\uc18c<\/li>\n<\/ul>\n
        \n
      • \uae30\uc800\ud568\uc218 \u222e(x)<\/li>\n<\/ul>\n

        \uc720\ud55c\uccb4\uc801\ubc95<\/strong><\/p>\n

          \n
        • \uccb4\uc801<\/li>\n
        • \u2062Ui ><\/li>\n
        • \uacbd\uacc4(\uc720\ub3d9)<\/li>\n<\/ul>\n<\/div>\n

          [\uadf8\ub9bc 1] \uc720\ud55c\ucc28\ubd84\ubc95, \uc720\ud55c\uc694\uc18c\ubc95, \uc720\ud55c\uccb4\uc801\ubc95\uc758 \ucc28\uc774<\/span><\/div>\n

          \uc720\ud55c\ucc28\ubd84\ubc95\uc758 \uacbd\uc6b0 \ud568\uc22b\uac12\uc758 \ucc28\uc774\ub97c \uc774\uc6a9\ud55c \ubbf8\ubd84\uacc4\uc218\ub97c \uadfc\uc0ac\ud558\uc5ec \ud3b8\ubbf8\ubd84 \ubc29\uc815\uc2dd\uc744 \ud478\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc804\ubc29(forward), \ud6c4\ubc29(backward), \uc911\uc559(central) \ucc28\ubd84\ubc95 \ub4f1 \uc138 \uac00\uc9c0\ub85c \ub098\ub20c \uc218 \uc788\uc73c\uba70 \ud14c\uc77c\ub7ec \uae09\uc218 \uc804\uac1c\ub97c \ud1b5\ud574 \uc720\ub3c4\ud569\ub2c8\ub2e4. \uc9c1\uc0ac\uac01\uaca9\uc790\uc5d0 \uc801\ud569\ud558\uace0 \uc54c\uace0\ub9ac\uc998\uc774 \uc9c1\uad00\uc801\uc774\uc5b4\uc11c \uc0ac\uc6a9\ud558\uae30 \uc27d\uace0 \ubcd1\ub82c\uacc4\uc0b0\uc5d0 \uc801\ud569\ud558\uc5ec \ud559\uc220\uc801\uc778 \uc5f0\uad6c\ub098 \uac04\ub2e8\ud55c \uc2dc\ubbac\ub808\uc774\uc158\uc744 \ud560 \uacbd\uc6b0\uc5d0 \ud6a8\uacfc\uc801\uc785\ub2c8\ub2e4. \uc120\ud615 \ubb38\uc81c\ubfd0\ub9cc \uc544\ub2c8\ub77c \ube44\uc120\ud615 \ubb38\uc81c\uc5d0\ub3c4 \uc27d\uac8c \uc801\uc6a9 \uac00\ub2a5\ud558\uba70 \ud2b9\ud788 \uc720\uccb4\uc5ed\ud559 \uc2dc\ubbac\ub808\uc774\uc158\uc5d0 \ub9ce\uc774 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/p>\n

          \uc720\ud55c\uc694\uc18c\ubc95\uc758 \uacbd\uc6b0 \ud480\uace0\uc790 \ud558\ub294 \ud3b8\ubbf8\ubd84\ubc29\uc815\uc2dd\uc744 \uc801\ubd84\ud615\uc73c\ub85c \ud45c\ud604\ud55c \ub4a4 \ucd5c\uc885\uc801\uc73c\ub85c Ax=b \ud615\ud0dc\uc758 \uc120\ud615\uc2dc\uc2a4\ud15c\uc73c\ub85c \ubcc0\ud658\ud558\uc5ec \uadfc\uc0ac\ud574\ub97c \uad6c\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc8fc\ub85c \uace0\uccb4\uc5ed\ud559\uc774\ub098 \uc804\uc790\uae30\ud559 \uc2dc\ubbac\ub808\uc774\uc158 \ub4f1\uc5d0 \uc0ac\uc6a9\ub418\uba70 GPU \uac00\uc18d \ud6a8\uacfc\uac00 \uac00\uc7a5 \ud06c\uace0 \ubd88\uaddc\uce59\ud55c \ubb3c\uccb4 \uc2dc\ubbac\ub808\uc774\uc158\uc5d0 \uc801\ud569\ud569\ub2c8\ub2e4. \uc720\ud55c\ucc28\ubd84\ubc95\uc5d0 \ube44\ud574 \ud574\uc758 \uc5f0\uc18d\uc131\uc744 \uc720\uc9c0\ud560 \uc218 \uc788\uae30 \ub54c\ubb38\uc5d0 \ubb3c\ub9ac\uc801\uc73c\ub85c \ud0c0\ub2f9\ud55c \ud574\ub97c \uc5bb\uc744 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4.<\/p>\n

          \uc720\ud55c\uccb4\uc801\ubc95\uc758 \uacbd\uc6b0 \ubcf4\uc874 \ubc95\uce59\uc744 \ub9cc\uc871\ud558\ub294 \ubb38\uc81c\ub97c \ud478\ub294\ub370 \uc801\ud569\ud558\uae30 \ub54c\ubb38\uc5d0 \uc8fc\ub85c \uc720\uccb4\uc5ed\ud559 \uc2dc\ubbac\ub808\uc774\uc158\uc5d0 \uc0ac\uc6a9\ub429\ub2c8\ub2e4. \uc720\ud55c\uccb4\uc801\uc758 \uba74\uc744 \uc9c0\ub098\ub294 \uc720\ub3d9\uc758 \uc591\uc744 \uae30\uc900\uc73c\ub85c \uc720\ub3c4\ub418\uba70 \uc2dc\ubbac\ub808\uc774\uc158 \ud615\uc0c1\uc5d0 \ub300\ud574 \uc720\uc5f0\ud558\uac8c \uacc4\uc0b0\uc744 \uc801\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc720\ud55c\ucc28\ubd84\ubc95\uacfc \ub9c8\ucc2c\uac00\uc9c0\ub85c \ubd88\uaddc\uce59\ud55c \ubb3c\uccb4\ub97c \uc2dc\ubbac\ub808\uc774\uc158\ud558\ub294 \ub370 \uc801\ud569\ud569\ub2c8\ub2e4.<\/p>\n

          \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc758 \ud2b9\uc9d5<\/h2>\n

          \uc77c\ubc18\uc801\uc778 \uc2e0\uacbd\ub9dd\uc774 \ubb3c\ub9ac\uc801 \ubc95\uce59\uc744 \uace0\ub824\ud558\uc9c0 \uc54a\uace0 \ub370\uc774\ud130\uc5d0 \uc804\uc801\uc73c\ub85c \uc758\uc874\ud558\ub294 \ubc18\uba74, \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc740 \uc9c0\ubc30\ubc29\uc815\uc2dd(\ubb3c\ub9ac\ubc29\uc815\uc2dd)\uc744 \ub9cc\uc871\ud558\ub3c4\ub85d \uc2dd\uc5d0 \ub0b4\uc81c\ub418\uc5b4 \uc788\ub294 \ubb3c\ub9ac \uc815\ubcf4\ub97c \uc2e0\uacbd\ub9dd\uc5d0 \ub3c4\uc785\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n

          \"\"<\/p>\n
          \uc77c\ubc18\uc801\uc778 \uc2e0\uacbd\ub9dd \ud559\uc2b5<\/strong><\/p>\n
            \n
          • -> Feature<\/li>\n
          • x, y, z -><\/li>\n
          • -> u, v, w, p<\/li>\n
          • Prediction -><\/li>\n<\/ul>\n
              \n
            • \u2062 – \ud559\uc2b5\ub370\uc774\ud130(feature, label) -><\/li>\n
            • Data loss=label error \u2062 –<\/li>\n<\/ul>\n

              \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd \ud559\uc2b5<\/strong><\/p>\n

                \n
              • -> Feature<\/li>\n
              • x, y, z -><\/li>\n
              • Auto Grad<\/li>\n
              • -> u, v, w, p<\/li>\n
              • Prediction -> (u)<\/li>\n<\/ul>\n
                  \n
                • \u2062 – Random<\/li>\n
                • PDE loss=Physics error \u2062 –<\/li>\n<\/ul>\n<\/div>\n

                  [\uadf8\ub9bc 2] \uc77c\ubc18\uc801\uc778 \uc2e0\uacbd\ub9dd\uacfc \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc758 \ud559\uc2b5 \ubc29\ubc95<\/span><\/div>\n

                  \uc77c\ubc18\uc801\uc778 \uc2e0\uacbd\ub9dd\uc740 \ud559\uc2b5 \ub370\uc774\ud130\ub9cc\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud559\uc2b5\ud558\uba70 \uc190\uc2e4 \ud568\uc218\ub294 \uc6d0\ubcf8 \ub370\uc774\ud130\uc640 \ud559\uc2b5 \ubaa8\ub378\uc5d0\uc11c \uc608\uce21\ud55c \ub370\uc774\ud130\uc5d0\uc11c\uc758 \ub808\uc774\ube14\uc758 \ubd88\uc77c\uce58 \uc815\ub3c4\ub97c \ucd5c\uc18c\ud654\ud558\ub3c4\ub85d \ud559\uc2b5\ud558\ub294 \ubc18\uba74, \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc740 \ubb3c\ub9ac \ubc29\uc815\uc2dd \uc790\uccb4\ub97c \uc190\uc2e4 \ud568\uc218\uc5d0 \uc0ac\uc6a9\ud558\uc5ec \uc0d8\ud50c\ub9c1\ud55c \ub370\uc774\ud130\uac00 \ubb3c\ub9ac \ubc95\uce59\uc744 \ub9cc\uc871\ud558\ub3c4\ub85d \ud559\uc2b5\uc744 \uc9c4\ud589\ud569\ub2c8\ub2e4.<\/p>\n

                  \uc804\ud1b5\uc801\uc778 \uc2dc\ubbac\ub808\uc774\uc158 \ubc29\ubc95\uc740 \ub3c4\uba54\uc778\uc744 \uc791\uc740 \uc694\uc18c\ub85c \ub098\ub204\uc5b4 \uac01\uac01\uc5d0 \ub300\ud574\uc11c \uacc4\uc0b0\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ub3c4\uba54\uc778\uc744 \uc791\uc740 \uc694\uc18c\ub85c \ub098\ub204\ub294 Meshing \uae30\ubc95\uc744 \uc0ac\uc6a9\ud558\uc9c0\ub9cc \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uba74 \ub370\uc774\ud130\ub97c \ub2e8\uc9c0 \uc0d8\ud50c\ub9c1\ub9cc \ud558\uae30 \ub54c\ubb38\uc5d0 \ub3c4\uba54\uc778\uc744 \uc791\uc740 \uc694\uc18c\ub85c \ub098\ub204\ub294 \ub4f1 \ucd94\uac00\uc801\uc778 \uacc4\uc0b0\uc774 \ud544\uc694 \uc5c6\uc5b4\uc9c0\uac8c \ub418\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c \uc2dc\ubbac\ub808\uc774\uc158\uc740 \ud559\uc2b5(Train)\uc744 \uc9c4\ud589\ud55c \ud6c4 \ucd94\ub860(Inference)\uc744 \ud1b5\ud558\uc5ec \uc9c4\ud589\ud558\uac8c \ub429\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \ubb3c\ub9ac\uc801\uc778 \ubc95\uce59\uc744 \ub9cc\uc871\ud558\ub294 \uc2e0\uacbd\ub9dd\uc744 \ucc3e\uc558\uae30 \ub54c\ubb38\uc5d0 \ubb3c\ub9ac \ubc95\uce59\uc744 \ub9cc\uc871\ud558\ub294 \uc2dc\ubbac\ub808\uc774\uc158\uc774 \uac00\ub2a5\ud558\uac8c \ub429\ub2c8\ub2e4. \ud559\uc2b5\uc5d0 \ube44\ud574 \ucd94\ub860\ud558\ub294 \uc2dc\uac04\uc740 \ub9e4\uc6b0 \uc791\uae30 \ub54c\ubb38\uc5d0 \uc2dc\ubbac\ub808\uc774\uc158\ud558\ub824\ub294 \ub3c4\uba54\uc778\uc5d0 \ub300\ud574 \ud55c \ubc88 \ud559\uc2b5\uc744 \uc9c4\ud589\ud558\uba74 \ucd94\ub860\uc744 \ud1b5\ud55c \ubc18\ubcf5 \uc2dc\ubbac\ub808\uc774\uc158\uc744 \ub9e4\uc6b0 \ube60\ub978 \uc2dc\uac04\uc5d0 \ud560 \uc218 \uc788\ub2e4\ub294 \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

                  \uc774\ub7ec\ud55c \uc7a5\uc810\uc5d0\ub3c4 \ubd88\uad6c\ud558\uace0 \ud604\uc7ac \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc740 \ud559\uc2b5\uc758 \uc218\ub834\uc131 \ubb38\uc81c, \uc804\ud1b5\uc801\uc778 \uc2dc\ubbac\ub808\uc774\uc158 \ubc29\ubc95\uc5d0 \ube44\ud558\uba74 \uc544\uc9c1\uc740 \ub192\uc9c0 \uc54a\uc740 \uc815\ud655\ub3c4 \ub4f1\uc758 \ub2e8\uc810\uc774 \uc874\uc7ac\ud558\uc5ec \ucd5c\uadfc\uc5d0\ub294 \uc804\ud1b5\uc801\uc778 \uc2dc\ubbac\ub808\uc774\uc158 \ubc29\ubc95\uacfc \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \ubc29\ubc95\uc744 \ud569\uce5c \ud558\uc774\ube0c\ub9ac\ub4dc \uc2dc\ubbac\ub808\uc774\uc158\uc5d0 \ub300\ud55c \uc5f0\uad6c\uac00 \uc2dc\uc791\ub418\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

                  \ud558\uc774\ube0c\ub9ac\ub4dc \uc2dc\ubbac\ub808\uc774\uc158<\/h2>\n

                  \ud558\uc774\ube0c\ub9ac\ub4dc \uc2dc\ubbac\ub808\uc774\uc158\uc774\ub780 \uc804\ud1b5\uc801\uc778 \uc2dc\ubbac\ub808\uc774\uc158\uacfc \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \uc2dc\ubbac\ub808\uc774\uc158\uc744 \ud63c\ud569\ud55c \ubc29\ubc95\uc785\ub2c8\ub2e4. \ud63c\ud569\ud558\ub294 \ubc29\ubc95\uc5d0 \ub530\ub77c \ud06c\uac8c \ub450 \uac00\uc9c0 \ubc29\ubc95\uc774 \uc874\uc7ac\ud558\uba70 \uba3c\uc800 \uc804\ud1b5\uc801\uc778 \uc2dc\ubbac\ub808\uc774\uc158 \ubc29\ubc95\uc5d0 \uacc4\uc0b0\uc2dc\uac04\uc774 \ud070 \ubd80\ubd84\uc744 \uc2e0\uacbd\ub9dd\uc73c\ub85c \ub300\uccb4\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n

                  \"\"<\/p>\n
                  \n
                    \n
                  • old velocity v(t)<\/li>\n<\/ul>\n
                      \n
                    • convolutional neural network -><\/li>\n<\/ul>\n

                      convective flux \u222eij \/ \u00d7d2<\/strong><\/p>\n

                        \n
                      • filter constraints ->uij interpolation \/ uij interpolation -><\/li>\n
                      • x -><\/li>\n<\/ul>\n

                        External forcing F(t) -><\/strong><\/p>\n

                          \n
                        • divergence -><\/li>\n<\/ul>\n
                            \n
                          • explict timestep -><\/li>\n<\/ul>\n
                              \n
                            • pressure projection -><\/li>\n<\/ul>\n
                                \n
                              • New velocity v(t + \u25b3t)<\/li>\n<\/ul>\n<\/div>\n

                                [\uadf8\ub9bc 3] \uc2dc\uac04\uc774 \ub9ce\uc774 \uac78\ub9ac\ub294 \uacc4\uc0b0\uc744 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc73c\ub85c \ub300\uccb4[1]<\/sup><\/span><\/div>\n

                                \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\uc774 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc5d0 \ube44\ud574 \uc815\ud655\ub3c4\uac00 \ub192\uae30 \ub54c\ubb38\uc5d0 \uc804\uccb4\uc801\uc778 \ud504\ub808\uc784\uc6cc\ud06c\ub294 \uc804\ud1b5\uc801\uc778 \uc218\uce58\ud574\uc11d \ubc29\ubc95\uc73c\ub85c \uc9c4\ud589\ud558\ub098 \uc2dc\uac04\uc774 \ub9ce\uc774 \uac78\ub9ac\ub294 \uacc4\uc0b0\uc744 \uc2e0\uacbd\ub9dd\uc73c\ub85c \ub300\uccb4\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc720\uccb4\ud574\uc11d\uc744 \uc704\ud55c Navier-Stokes \ubc29\uc815\uc2dd\uc744 \ud478\ub294 \uac83\uc73c\ub85c, \ub2e8\uc77c Time Step\uc5d0 \ub300\ud55c \ud750\ub984\ub3c4\ub97c \ubcf4\uc5ec\uc900 \uac83\uc73c\ub85c Convective Flow \uacc4\uc0b0 \uc2dc \uae30\uc874 Standard Numerical Solver\ub97c Convolutional Neural Network\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub300\uccb4\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc774\ub807\uac8c \ud558\uc600\uc744 \ub54c \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\uc5d0 \ube44\ud574 \uc0c1\ub2f9\ud55c \uc815\ub3c4\uc758 \uc18d\ub3c4 \ud5a5\uc0c1\uc744 \uc774\ub8e8\uc5c8\ub2e4\uace0 \ud569\ub2c8\ub2e4.<\/p>\n

                                \ub2e4\ub978 \ud55c \uac00\uc9c0 \ubc29\ubc95\uc73c\ub85c\ub294 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc758 \ube60\ub978 \uc2dc\ubbac\ub808\uc774\uc158 \uc18d\ub3c4\ub97c \uc774\uc6a9\ud558\uc5ec \uadfc\uc0ac\uce58\uae4c\uc9c0 \uc2e0\uacbd\ub9dd\uc73c\ub85c \uacc4\uc0b0\ud55c \ud6c4 \ub354 \uc815\ud655\ud55c \uacc4\uc0b0\uc744 \uc704\ud574 \uc804\ud1b5\uc801\uc778 \uc218\uce58\ud574\uc11d \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/p>\n

                                \"\"<\/p>\n
                                \n
                                  \n
                                • Multogrid V-cycle<\/li>\n<\/ul>\n
                                    \n
                                  • Finer Grids-><\/li>\n<\/ul>\n

                                    DL Solver on Coarse Grid<\/strong><\/p>\n

                                      \n
                                    • Gauss-Seidel Iteration \/ Gauss-Seidel Iteration \/ Gauss-Seidel Iteration on Coarse Grid<\/li>\n<\/ul>\n<\/div>\n

                                      [\uadf8\ub9bc 4] \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc73c\ub85c \uacc4\uc0b0 \uc2dc\uac04\uc744 \uc904\uc778 \ud6c4 \uc804\ud1b5\uc801\uc778 \ubc29\ubc95\uc73c\ub85c \uc815\ud655\ub3c4\ub97c \ubcf4\uc815[2]<\/sup><\/span><\/div>\n

                                      \ub3c4\uba54\uc778\uc758 Mesh\ub97c \ud06c\uac8c \ud558\uc5ec \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd(Deep Learning Solver \uc0ac\uc6a9)\uc73c\ub85c \uc2dc\ubbac\ub808\uc774\uc158\ud558\uc5ec \ub300\ub7b5\uc801\uc778 \uac12\uc744 \uc5bb\uc740 \ud6c4 \ub354 \uc815\ud655\ud55c \uacc4\uc0b0\uc744 \uc704\ud574 Gauss-Seidel(Standard Solver)\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc73c\ub85c \uc804\ud1b5\uc801\uc778 \uc218\uce58\ud574\uc11d \uae30\ubc18 \uc2dc\ubbac\ub808\uc774\uc158\uc5d0 \ube44\ud574 \ud070 \uc18d\ub3c4 \ud5a5\uc0c1\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n

                                      \uacb0\ub860<\/h2>\n

                                      \ucd5c\uadfc \ud654\ub450\uac00 \ub418\uace0 \uc788\ub294 AI \uae30\ubc95\uc744 \ub3c4\uc785\ud55c \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc5d0 \ub300\ud574 \uc54c\uc544\ubcf4\uc558\uc2b5\ub2c8\ub2e4. AI\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c \uc2dc\ubbac\ub808\uc774\uc158 \ubd84\uc57c\uc5d0\uc11c\ub3c4 AI\uac00 \ub3c4\uc785\ub428\uc740 \uc5b4\ucc0c \ubcf4\uba74 \ub2f9\uc5f0\ud55c \ucc98\uc0ac\uc785\ub2c8\ub2e4. \ub610\ud55c AI\ub97c \uad6c\ub3d9\ud560 \uc218 \uc788\ub294 GPU\uc640 \uac19\uc740 \uac00\uc18d\uae30\uc758 \ubc1c\uc804\uc5d0 \ub530\ub77c \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc740 \uacc4\uc18d\ud574\uc11c \ubc1c\uc804\ud560 \uac83\uc73c\ub85c \uc608\uc0c1\ub418\uba70 \ube60\ub978 \uc2dc\ubbac\ub808\uc774\uc158 \uc18d\ub3c4\ub85c \uc778\ud55c \uc2e4\uc2dc\uac04 \uc2dc\ubbac\ub808\uc774\uc158\uc774 \uac00\ub2a5\ud558\uae30 \ub54c\ubb38\uc5d0 Digital Twin \ub4f1 \uc751\uc6a9 \ubd84\uc57c\uac00 \ub9ce\uc740 \uac83\uc774 \uc608\uc0c1\ub429\ub2c8\ub2e4.<\/p>\n

                                      References<\/b>
                                      \n[1] Machine learning\u2013accelerated computational fluid dynamics, D Kochkova, JA Smitha, A Alieva, Q Wanga, MP Brenner, and S Hoyera, Proceedings of the National Academy of Sciences, 2021
                                      \n[2] The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?, S Markidis, Frontiers in Big Data, 2021<\/small><\/p>\n

                                      [\ucd9c\ucc98] https:\/\/www.samsungsds.com\/kr\/insights\/physics_informed_neural_network.html<\/p>\n

                                      \"\ubb38\uae30\ud6a8\"<\/div>\n
                                      \n
                                      \ubb38\uae30\ud6a8<\/strong> \uc778\uacf5\uc9c0\ub2a5\/\uc560\ub110\ub9ac\ud2f1\uc2a4 \uc804\ubb38\uac00<\/span><\/div>\n

                                      \uc0bc\uc131SDS \uace0\uc131\ub2a5\ucef4\ud4e8\ud305\uc5f0\uad6cLab<\/p>\n

                                      \uc288\ud37c\ucef4\ud4e8\ud130\ub97c \uc774\uc6a9\ud55c \uc218\uce58\ud574\uc11d \ubd84\uc57c\ub97c \uc5f0\uad6c\ud558\uc5ec \ubc15\uc0ac\ud559\uc704\ub97c \ucde8\ub4dd\ud558\uc600\uc2b5\ub2c8\ub2e4. LLM \ucd94\ub860 \ubc0f HPC \uc2dc\ubbac\ub808\uc774\uc158 \uac00\uc18d\uc744 \uc5f0\uad6c\ud558\uace0 \uc788\uc73c\uba70 \uc591\uc790 \ucef4\ud4e8\ud305 \ub4f1 \ubbf8\ub798 \ucef4\ud4e8\ud305 \uae30\uc220\uc5d0 \uad00\uc2ec\uc774 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p>\n<\/div>\n

                                      <\/div>\n

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                                      <\/div>\n","protected":false},"excerpt":{"rendered":"

                                      [\uc778\uacf5\uc9c0\ub2a5 \uae30\uc220] AI \uae30\ubc18 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \uc2dc\ubbac\ub808\uc774\uc158 AI \uae30\ubc18 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd\uc744 \uc774\uc6a9\ud55c \uc2dc\ubbac\ub808\uc774\uc158 \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 \uc2dc\ubbac\ub808\uc774\uc158\uc5d0\uc11c \ucd5c\uadfc \ud654\ub450\uac00 \ub418\uace0 \uc788\ub294 \ubb3c\ub9ac \uc815\ubcf4 \uc2e0\uacbd\ub9dd(Physics-Informed Neural Network, \uc774\ud558 PINN)\uc5d0 \ub300\ud574\uc11c \ub2e4\ub8e8\uc5b4 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc5ec\uae30\uc11c \uc2dc\ubbac\ub808\uc774\uc158\uc774\ub77c\ub294 \uac83\uc740 \uc720\uccb4\uc5ed\ud559, \uc804\uc790\uae30\ud559 \ub4f1 \uacf5\ud559 \ubb38\uc81c\ub97c \uc288\ud37c\ucef4\ud4e8\ud130\ub97c \uc774\uc6a9\ud55c \uc218\ud559\uc801\uc778 \ubc29\ubc95\uc73c\ub85c \ud478\ub294 \uac83\uc744 \ub9d0\ud569\ub2c8\ub2e4. \uc790\ub3d9\ucc28 \ud615\uc0c1, \ud734\ub300\ud3f0 \uc5f4\uc124\uacc4, \ubc18\ub3c4\uccb4 \uc18c\uc790 \uc2dc\ubbac\ub808\uc774\uc158 […]<\/p>\n

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