Non-Markovian recovery makes complex networks more resilient against large scale failures Contributor Nature Communications Behind the paper Non-Markovian recovery makes complex networks more resilient against large scale failures mtang@ce.ecnu.edu.cn May 22, 2020
Learning and promoting research during Covid-19 era From the editors, On the road Learning and promoting research during Covid-19 era Aldo Isidori Oct 15, 2020
Reinforcing materials modeling by encoding the structures of defects in crystalline solids into distortion scores Behind the paper Reinforcing materials modeling by encoding the structures of defects in crystalline solids into distortion scores Alexandra Goryaeva Sep 17, 2020
Perovskite-based tandem photovoltaics: Materials processing for homogeneous, low-trap-density, thick-active-layer, perovskites Behind the paper Perovskite-based tandem photovoltaics: Materials processing for homogeneous, low-trap-density, thick-active-layer, perovskites Bin Chen Mar 10, 2020
