[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-119099-en":3,"doc-seo-119099-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},119099,5909877438554,"Maeve","https://ap-avatar.wpscdn.com/avatar/5600025385ad2bf12a7?_k=1778553567797529272",8,"Research & Report","Unveiling future superconductors through machine learning - Minireview","The discovery of superconductivity above 200 K in sulfur- and lanthanum-based hydrides under high pressure is a major step toward room-temperature superconductivity. While most binary hydrides have been studied theoretically, progress toward higher-temperature and lower-pressure limits likely depends on ternary and higher hydrides. This Minireview explains how artificial intelligence methods support every stage of the superhydride discovery cycle, including predicting candidates via automated, iterative machine-learning workflows, and it highlights remaining challenges and future directions in the field.","Materials Today Physics 43 (2024) 101384  \nContents lists available at ScienceDirect  \nMaterials Today Physics  \njournal [homepage: www.journals.elsevier.com/materials-today-physics](homepage: www.journals.elsevier.com/materials-today-physics)  \n| Unveiling future superconductors through machine learning Zihao Baia, b, c, d, Mangladeep Bhullara, Akinwumi Akinpelua, Yansun Yao a, *\u003Cbr>a Department of Physics and Engineering Physics, University of Saskatchewan, Saskatoon, Saskatchewan, S7N 5E2, Canada b Theoretical Chemistry Institute and Department of Chemistry, University of Wisconsin–Madison, Madison, WI, 53706, United States c Center for Theoretical Physics and School of Physics, Jilin University, Changchun, 130012, China\u003Cbr>d Department of Materials Science and Engineering, University of Wisconsin–Madison, Madison, WI, 53706, United States |  |  |  |\n| --- | --- | --- | --- |\n| A R T I C L E I N F O |  | A B S T R A C T |  |\n| Keywords:\u003Cbr>Superconductivity Machine learning Superhydrides\u003Cbr>High-throughput computing First principles calculations |  | The recent discovery of superconductivity above 200 K in hydrides of sulfur and lanthanum under high pressure marked a significant advance toward the realization of room-temperature superconductivity. While binary hydrides have almost been completely studied theoretically, experimental evidence suggests that the next breakthrough in finding high-temperature and low-pressure limits is likely connected with ternary and higher hydrides. Unlike the traditional synthesis-test-repeat approach, experimental discovery of superhydrides under high pressure often follows prior theoretical predictions. In this Minireview, we describe how various artificial intelligence schemes enable and enrich each stage of the discovery cycle of superhydrides and new developments made toward predicting ternary and higher hydrides. As a new enabling tool, machine learning-informed material simulation is still making its way into this field but is already playing an essential role in augmenting the prediction of new superhydrides through automated and iterative machine-learning processes. The review concludes with a perspective on outstanding challenges and possible future developments in the field. |  |\n\n1. Introduction  \nSuperconductivity under ambient conditions has been one of the most sought-after discoveries in physical sciences [1]. Materials exhibiting this quantum phenomenon have zero DC electrical resistivity below a critical temperature Tc, i.e., in the superconducting state. Superconducting materials are also perfect diamagnets (Хν = − 1) in the Meissner state, where they expulse magnetic fields when subjected to a temperature below Tc. These exceptional properties find superconductors practical applications in industrial and scientific sectors, i.e., powerful electromagnets, lossless electrical transmission, and sensitive magnetometers. However, the requirement for low temperatures is a significant challenge for the widespread application of superconductors. Currently, the highest Tc discovered in superconductors at atmospheric pressure is only about 138 K, held by cuprate ceramics of mercury (Hg), barium (Ba) and calcium (Ca) [2]. On the other hand, achieving superconductivity with even higher Tcis possible under extreme pressures. One such group of candidates is hydrogen-rich superhydrides, especially lanthanum hydride (LaH10), which has a measured Tc of about 250 K under 170 GPa pressure [3,4]. Hydrogen sulfide (H3S) also exhibits superconductivity at 203 K under 150 GPa pressure [5,6], and clathrate  \nhydride CaH6 superconducts at a Tc of 215 K under 172 GPa pressure [7]. The superconducting hydrides were not accidently discovered; the synthesis followed theoretical predictions [8–10]. This signifies a paradigm shift in the history of superconductors as theoretical prediction now guides experiments toward new superconductors. With extensive R&D, it is possible to realize hydrogen-rich supe","cbCaimyZzeUrtIb2","https://ap.wps.com/l/cbCaimyZzeUrtIb2","pdf",2500295,1,9,"English","en",105,"# Introduction\n## Superconductivity under ambient conditions and key challenges\n## Hydrogen-rich superhydrides under extreme pressure\n## Predictive cycle: theory guiding experiments\n## Computational tools and workflows","[{\"question\":\"Why is room-temperature superconductivity challenging under ambient conditions?\",\"answer\":\"Superconductors require temperatures below a critical temperature and achieving high Tc at atmospheric pressure remains difficult. High-pressure hydrogen-rich materials offer a promising route toward higher-temperature superconductivity.\"},{\"question\":\"Why are ternary and higher hydrides expected to be important next breakthroughs?\",\"answer\":\"Binary hydrides have been extensively studied theoretically, but experimental trends suggest that improved high-temperature and lower-pressure limits are likely connected to ternary and higher hydrides.\"},{\"question\":\"How does machine learning contribute to discovering new superhydrides?\",\"answer\":\"AI-supported material simulation and automated, iterative machine-learning processes help enrich prediction steps and accelerate the discovery cycle by guiding computational searches for promising candidate crystal structures.\"}]","Unveiling future superconductors through machine learning - Minireview | PDF",1785722388,23,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"unveiling-future-superconductors-through-machine-learning-minireview","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/unveiling-future-superconductors-through-machine-learning-minireview/119099/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is room-temperature superconductivity challenging under ambient conditions?","Question",{"text":75,"@type":76},"Superconductors require temperatures below a critical temperature and achieving high Tc at atmospheric pressure remains difficult. High-pressure hydrogen-rich materials offer a promising route toward higher-temperature superconductivity.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why are ternary and higher hydrides expected to be important next breakthroughs?",{"text":80,"@type":76},"Binary hydrides have been extensively studied theoretically, but experimental trends suggest that improved high-temperature and lower-pressure limits are likely connected to ternary and higher hydrides.",{"name":82,"@type":73,"acceptedAnswer":83},"How does machine learning contribute to discovering new superhydrides?",{"text":84,"@type":76},"AI-supported material simulation and automated, iterative machine-learning processes help enrich prediction steps and accelerate the discovery cycle by guiding computational searches for promising candidate crystal structures.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]