ZIF-derived carbon structures are considered as desired electrode materials for supercapacitors due to their high surface area,high conductivity, and porous structure. However, the most reported ratio of 2-methylimida...ZIF-derived carbon structures are considered as desired electrode materials for supercapacitors due to their high surface area,high conductivity, and porous structure. However, the most reported ratio of 2-methylimidazole and Zn(II) is 4:1 to 20:1, which limits commercial applications due to the increasing cost. In this paper, a multirole Zn(II)-assisted method is presented from Zn(II) solution, Zn O, Zn O/ZIF-8 core-shell nanostructure, to 3 D hierarchical micro-meso-macroporous carbon structures with a1:1 ratio of 2-methylimidazole and Zn(II). The hierarchically porous carbon has a high surface area of 1800 m2 g^(-1) due to the synergistic effect of multirole Zn(II). The unique carbon-based half-cell delivers the specific capacitances of 377 and 221 F g^(-1) at the current densities of 1.0 and 50 A g^(-1), respectively. As a 2.5 V symmetrical supercapacitor, the device reveals a high doublelayer capacitance of 24.4 F g^(-1), a power density of 62.5 k W kg^(-1), and more than 85.8% capacitance can be retained over 10000 cycles at 10 A g^(-1). More importantly, the low-cost hierarchically porous carbon could be easily produced on a large scale and almost all chemicals can be reused in the sustainable method.展开更多
Data-driven approaches are attracting wide attention in the field of materials science due to their ca-pacity to unravel complex structure-activity relationships deriving from nonlinear interplay of materials properti...Data-driven approaches are attracting wide attention in the field of materials science due to their ca-pacity to unravel complex structure-activity relationships deriving from nonlinear interplay of materials properties across multiple scales.However,unlocking their potential in materials discovery and design requires addressing two main challenges:multi-disciplinary knowledge barriers across the entire ma-terials data lifecycle(acquisition,processing,and analysis),and the absence of an infrastructure that can accommodate the continuous proliferation of data volume,algorithms,and models.Here,we propose a multirole collaborative and co-constructive materials design ecosystem that restructures both the productive forces and the relations of production in materials design.By establishing a structured di-vision of labor and a customized materials design infrastructure with a workflow system that decouples control and data flows,our framework reduces inter-module dependencies and enables the flexible,scalable integration of heterogeneous resources.A case study on electrochemical storage materials design demonstrates that this approach can improve streamlined collaborative efficiency by at least 50%,highlighting its potential to accelerate materials design.This work establishes a new paradigm for building intelligent materials design platforms,characterized by dynamic composability instead of static integration,thereby fostering an open and sustainable ecosystem for future materials discovery.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos. U1832136,21303038)the Think-Tank Union Funds for Energy Storage (Grant No. JZ2016QTXM1097)+1 种基金the 100 Talents Program of Anhui ProvinceNatural Science Foundation of Anhui province (Grant No. 1808085QE140)。
文摘ZIF-derived carbon structures are considered as desired electrode materials for supercapacitors due to their high surface area,high conductivity, and porous structure. However, the most reported ratio of 2-methylimidazole and Zn(II) is 4:1 to 20:1, which limits commercial applications due to the increasing cost. In this paper, a multirole Zn(II)-assisted method is presented from Zn(II) solution, Zn O, Zn O/ZIF-8 core-shell nanostructure, to 3 D hierarchical micro-meso-macroporous carbon structures with a1:1 ratio of 2-methylimidazole and Zn(II). The hierarchically porous carbon has a high surface area of 1800 m2 g^(-1) due to the synergistic effect of multirole Zn(II). The unique carbon-based half-cell delivers the specific capacitances of 377 and 221 F g^(-1) at the current densities of 1.0 and 50 A g^(-1), respectively. As a 2.5 V symmetrical supercapacitor, the device reveals a high doublelayer capacitance of 24.4 F g^(-1), a power density of 62.5 k W kg^(-1), and more than 85.8% capacitance can be retained over 10000 cycles at 10 A g^(-1). More importantly, the low-cost hierarchically porous carbon could be easily produced on a large scale and almost all chemicals can be reused in the sustainable method.
基金supported by the National Natural Science Foun-dation of China(Nos.92472207,52472223 and 12404265)the Science and Technology Commission of Shanghai Municipality(No.22160730100)the Shanghai Technical Service Center for Advanced Ceramics Structure Design and Precision Manufacturing(No.20DZ2294000).
文摘Data-driven approaches are attracting wide attention in the field of materials science due to their ca-pacity to unravel complex structure-activity relationships deriving from nonlinear interplay of materials properties across multiple scales.However,unlocking their potential in materials discovery and design requires addressing two main challenges:multi-disciplinary knowledge barriers across the entire ma-terials data lifecycle(acquisition,processing,and analysis),and the absence of an infrastructure that can accommodate the continuous proliferation of data volume,algorithms,and models.Here,we propose a multirole collaborative and co-constructive materials design ecosystem that restructures both the productive forces and the relations of production in materials design.By establishing a structured di-vision of labor and a customized materials design infrastructure with a workflow system that decouples control and data flows,our framework reduces inter-module dependencies and enables the flexible,scalable integration of heterogeneous resources.A case study on electrochemical storage materials design demonstrates that this approach can improve streamlined collaborative efficiency by at least 50%,highlighting its potential to accelerate materials design.This work establishes a new paradigm for building intelligent materials design platforms,characterized by dynamic composability instead of static integration,thereby fostering an open and sustainable ecosystem for future materials discovery.
