Kulik, H. J ;
Hammerschmidt, T ;
Schmidt, J...
Kulik , H J , Hammerschmidt , T , Schmidt , J , Botti , S , Marques , M A L , Boley , M , Scheffler , M , Todorović , M , Rinke , P , Oses , C , Smolyanyuk , A , Curtarolo , S , Tkatchenko , A , Bartók , A P , Manzhos , S , Ihara , M , Carrington , T , Behler , J , Isayev , O , Veit , M , Grisafi , A , Nigam , J , Ceriotti , M , Schütt , K T , Westermayr , J , Gastegger , M , Maurer , R J , Kalita , B , Burke , K , Nagai , R , Akashi , R , Sugino , O , Hermann , J , Noé , F , Pilati , S , Draxl , C , Kuban , M , Rigamonti , S , Scheidgen , M , Esters , M , Hicks , D , Toher , C , Balachandran , P V , Tamblyn , I , Whitelam , S , Bellinger , C & Ghiringhelli , L M 2022 , ' Roadmap on machine learning in electronic structure ' , Electronic Structure , vol. 4 , no. 2 , 023004 . https://doi.org/10.1088/2516-1075/ac572f.
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