Litcius/Paper detail

An integrated machine learning model for accurate and robust prediction of superconducting critical temperature

Jingzi Zhang, Ke Zhang, S. L. XU, Yi Li, Chengquan Zhong, Mengkun Zhao, Hua‐Jun Qiu, Mingyang Qin, X.‐D. Xiang, Kailong Hu, Xi Lin

2022Journal of Energy Chemistry25 citationsDOI

Topics & Concepts

SuperconductivityMean squared errorMachine learningCorrelation coefficientComputer scienceArtificial intelligenceThermal conductivityProcess (computing)Materials scienceData miningStatisticsCondensed matter physicsPhysicsMathematicsThermodynamicsOperating systemMachine Learning in Materials SciencePhysics of Superconductivity and MagnetismSuperconductivity in MgB2 and Alloys
An integrated machine learning model for accurate and robust prediction of superconducting critical temperature | Litcius