{"id":5203,"date":"2022-06-23T10:41:27","date_gmt":"2022-06-23T16:41:27","guid":{"rendered":"https:\/\/www.appliedsuperconductivity.org\/asc2022\/?page_id=5203"},"modified":"2022-10-20T18:17:19","modified_gmt":"2022-10-21T00:17:19","slug":"ai-for-ls-power-applications","status":"publish","type":"page","link":"https:\/\/www.appliedsuperconductivity.org\/asc2022\/ai-for-ls-power-applications\/","title":{"rendered":"Special Session"},"content":{"rendered":"
[vc_row css=”.vc_custom_1639499544831{margin-top: 10px !important;padding-top: 10px !important;padding-bottom: 10px !important;}”][vc_column width=”5\/6″ css=”.vc_custom_1638877728949{padding-bottom: 20px !important;}”][vc_custom_heading text=”Artificial Intelligence for Large Scale Power Applications” use_theme_fonts=”yes” css=”.vc_custom_1663771663230{padding-bottom: 10px !important;}”][\/vc_column][vc_column width=”1\/6″][vc_column_text]\n\n\n\n\n
Program<\/strong><\/a><\/td>\n<\/tr>\n
Special Sessions<\/a><\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1639499520206{margin-bottom: 10px !important;}”][vc_column][vc_column_text css=”.vc_custom_1666311435499{padding-top: 20px !important;padding-right: 20px !important;padding-left: 20px !important;background-color: #efefef !important;}”]1LSpeOr1 – Special Session: Artificial Intelligence for Large Scale Power Applications
\n<\/strong><\/span><\/p>\n

Monday, October 24, 2022, 4:15 p.m. – 6:10 p.m.<\/strong><\/span><\/p>\n\n\n\n\n\n\n\n\n\n
4:15 p.m. – 4:30 p.m.<\/span><\/td>\n1LSpeOr1-01: Critical current and n-value surface reconstruction for HTS tapes using Artificial Intelligence techniques<\/span><\/td>\nAntonio Morandi<\/span><\/td>\n<\/tr>\n
4:30 p.m. – 4:55 p.m.<\/span><\/td>\n1LSpeOr1-02: Implementation of AI and big data techniques in future large scale 2G HTS tape production: SuperOx perspective<\/span><\/td>\nAlexander Molodyk<\/span><\/td>\n<\/tr>\n
4:55 p.m. – 5:10 p.m.<\/span><\/td>\n1LSpeOr1-03: Analysis of Bi-2212 Superconducting Filament joining using Deep Learning Methods<\/span><\/td>\nMatthew Jewell<\/span><\/td>\n<\/tr>\n
5:10 p.m. – 5:25 p.m.<\/span><\/td>\n1LSpeOr1-04: Designing of the fault classifier of HTS cable based Multi-terminal DC Transmission Systems<\/span><\/td>\nSeung Jin Chang<\/span><\/td>\n<\/tr>\n
5:25 p.m. – 5:40 p.m.<\/span><\/td>\n1LSpeOr1-05: Detecting localized Ic-lowered sites in REBCO coated conductor by magnetic microscopy using deep learning based object detection<\/span><\/td>\nTakanobu Kiss<\/span><\/td>\n<\/tr>\n
5:40 p.m. – 5:55 p.m.<\/span><\/td>\n1LSpeOr1-06: Modeling quench propagation in HTS tapes with machine learning techniques<\/span><\/td>\nJean-Hughes Fournier-Lupien<\/span><\/td>\n<\/tr>\n
5:55 p.m. – 6:10 p.m.<\/span><\/td>\n1LSpeOr1-07: Study on the state prediction of a pool-cooled large superconducting coil using machine learning<\/span><\/td>\nTetsuhiro Obana<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/2″][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1639684897991{margin-bottom: 10px !important;}”][vc_column css=”.vc_custom_1639499742134{margin-bottom: 10px !important;}”][\/vc_column][\/vc_row][vc_row fullwidth=”yes” full_width=”stretch_row_content_no_spaces”][vc_column][vc_media_grid element_width=”2″ gap=”0″ grid_id=”vc_gid:1666311425694-29e78b1133b7e37b00330cddbbcfb657-6″ include=”2389,2379,2156,2394,2383,2355″ css=”.vc_custom_1639499719439{margin-top: 5px !important;}”][\/vc_column][\/vc_row]\n<\/section>","protected":false},"excerpt":{"rendered":"

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