High-throughput study and machine learning on MAX and MAB phases: new materials and fingerprints of superior lattice thermal conductivities
Shaohan LiSchool of Materials Science and Engineering, Southeast University, Nanjing 211189, ChinaZening YangSchool of Materials Science and Engineering, Southeast University, Nanjing 211189, ChinaRasoul KhaledialidustiDepartment of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, NorwayShuai LinKey Laboratory of Materials Physics, Institute of Solid State Physics, HFIPS, Chinese Academy of Sciences, Hefei 230031, ChinaJin YuSchool of Materials Science and Engineering, Southeast University, Nanjing 211189, ChinaMohammad KhazaeiDepartment of Physics, University of Tehran, North Karegar Ave., Tehran, IranJing ZhangSEU-FEI Nano-Pico Center, Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing 210096, ChinaLitao SunSEU-FEI Nano-Pico Center, Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing 210096, ChinaXin LiState Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Sinopec Shanghai Research Institute of Petrochemical Technology, Shanghai 201208, ChinaWeiwei SunSEU-FEI Nano-Pico Center, Key Laboratory of MEMS of Ministry of Education, Southeast University, Nanjing 210096, China
2023en
ABI
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Cited by 30 references