Zhenying Chen

CONFLICT OF INTEREST STATEMENT No potential conflict of interest was reported by the authors. DATA AVAILABILITY STATEMENT The data used and analyzed in the current study are available from the corresponding author on reasonable request. R code is publicly available on GitHub (https://github.com/XT-PH/Paper_99mTc-HP-Ark2-SPECT-CT_code.git). Supporting Information Filename Description ijc70235-sup-0001-Supinfo.pdfPDF document, 405.8 KB Data S1 Supplementary Information REFERENCES 1, , , .

Runfeng Cao Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433 China Shanghai Engineering Research Center of Lung Transplantation, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433 China Department of Polymeric Materials, School of Materials Science and Engineering, Tongji University, Shanghai, 201804 China Search for more papers by this author

XRDMatch: A Semi-Supervised Learning Framework to Efficiently Discover Room Temperature Lithium Superionic Conductors The long-sought prediction pipelines for solid-state electrolytes (SSEs) with room-temperature superionic conductivity marks a significant milestone on the path towards realizing the commercialization of all-solid-state lithium batteries.