The multi-point dynamic aggregation(MPDA)problem is a challenging real-world problem.In the MPDA problem,the demands of tasks keep changing with their inherent incremental rates,while a heterogeneous robot fleet is re...The multi-point dynamic aggregation(MPDA)problem is a challenging real-world problem.In the MPDA problem,the demands of tasks keep changing with their inherent incremental rates,while a heterogeneous robot fleet is required to travel between these tasks to change the time-varying state of each task.The robots are allowed to collaborate on the same task or work separately until all tasks are completed.It is challenging to generate an effective task execution plan due to the tight coupling between robots abilities and tasks'incremental rates,and the complexity of robot collaboration.For effectiveness consideration,we use the variable length encoding to avoid redundancy in the solution space.We creatively use the adaptive large neighborhood search(ALNS)framework to solve the MPDA problem.In the proposed algorithm,high-quality initial solutions are generated through multiple problem-specific solution construction heuristics.These heuristics are also used to fix the broken solution in the novel integrated decoding-construction repair process of the ALNS framework.The results of statistical analysis by the Wilcoxon rank-sum test demonstrate that the proposed ALNS can obtain better task execution plans than some state-of-the-art algorithms in most MPDA instances.展开更多
To broaden the frequency width and increase the damping coefficient of a dynamic pressure damper, we designed an aggregative dynamic pressure damper (ADPD). Combined with the advantages of traditional dynamic pressure...To broaden the frequency width and increase the damping coefficient of a dynamic pressure damper, we designed an aggregative dynamic pressure damper (ADPD). Combined with the advantages of traditional dynamic pressure dampers (TDPD), ADPD can not only increase the damping coefficient in wide frequency range for valve control system, but also absorb partial pressure pulsations and impacts in the low and high frequency fields. Based on the theoretical research and the analysis compared with TDPD, we concluded that the ADPD was superior to the TDPD in the middle high frequency field, and the main parameters influencing the performance of the damper were the damping stiffness, orifice flow coefficient, pre-charge pressure, and the volume of the damper accumulator.展开更多
A new fused-ring electron acceptor FNIC3 with dynamics controlled aggregation behavior was synthesized.FNIC3 shows strong absorption in 600–900 nm,HOMO/LUMO energy levels of−5.59/−4.04 eV,and electron mobility of 1.2...A new fused-ring electron acceptor FNIC3 with dynamics controlled aggregation behavior was synthesized.FNIC3 shows strong absorption in 600–900 nm,HOMO/LUMO energy levels of−5.59/−4.04 eV,and electron mobility of 1.2×10^(−3) cm^(2) V^(−1) s^(−1).The aggregation of FNIC3 shows strong dependency on film formation time.Prolongation of film formation time promotes the crystallization of FNIC3,leading to improved crystallinity and enlarged aggregate sizes.Aggregation of FNIC3 significantly influences the photovoltaic device parameters.Appropriate aggregation red-shifts the absorption and improves the mobilities of the blend,which contributes to high photocurrent and fill factor thus high power conversion efficiency(PCE).Overaggregation leads to increased nonradiative energy loss and insufficient charge generation,resulting in decreased open-circuit voltage and short-circuit current density.The blends based on PM6:FNIC3 fabricated under proper film formation time exhibit a PCE of 12.3%,higher than those fabricated under short and long film formation time(10.0–10.5%).展开更多
Stretchable organic solar cells(OSCs)have great potential as power sources for the next-generation wearable electronics.Although blending rigid photovoltaic components with soft insulating materials can easily endow t...Stretchable organic solar cells(OSCs)have great potential as power sources for the next-generation wearable electronics.Although blending rigid photovoltaic components with soft insulating materials can easily endow the mechanical ductility of active layers,the photovoltaic efficiencies usually drops in the resulting OSCs.Herein,a high photovoltaic efficiency of 15.03%and a large crack-onset strain of 15.70%is simultaneously achieved based on a ternary blend consisting of polymer donor poly[(2,6-(4,8-bis(5-(2-ethylhexyl-3-fluoro)thiophen-2-yl)-benzo[1,2-b:4,5-b']dithiophene))-alt-(5,5-(1',3'-di-2-thienyl-5',7'-bis(2-ethylhexyl)benzo[1',2'-c:4',5'-c']dithiophene-4,8-dione))](PM6),non-fullerene accepter 2,2'-((2Z,2'Z)-((12,13-bis(2-ethylhexyl)-3,9-diundecyl-12,13-dihydro-[1,2,5]thiadiazolo[3,4-e]thieno[2",3":4',5']thieno[2',3':4,5]pyrrolo[3,2-g]thieno[2',3':4,5]thieno[3,2-b]indole-2,10-diyl)bis(methanylylidene))bis(5,6-difluoro-3-oxo-2,3-dihydro-1H-indene-2,1-diylidene))dimalononitrile(Y6),and soft elastomer polystyrene-block-poly(ethylene-ran-butylene)-block-polystyrene(SEBS)through the control of phase separation and crystallization.By employing a high-boiling point solvent additive 1-chloronaphthalene(CN)with different solubilities for PM6 and Y6,the aggregation dynamics of PM6 and Y6 as well as the film solidification process are dramatically altered,allowing for the different molecular rearrangement and liquid-liquid phase separation evolution.Consequently,the ternary film with optimal CN content presents decreased SEBS domains and moderately improved molecular ordering of PM6 and Y6,enabling effective mechanical deformation and charge generation/transport.The revealed corrections between the film-formation process,film microstructure,and photovoltaic/mechanical characteristics in the ternary blend provide deep understanding of the morphology control toward high-performance stretchable OSCs.展开更多
This paper presents the implementation and performance of the best-effort multi-wavelength assignment with link aggregation on the SLAMNet (Statistical Lambda Multiplexing Network) test system.
The recovery of valuable transition metals from deactivated catalysts is crucial for alleviating the challenges of resource scarcity and environmental pollution.Guided by AI-powered big data analysis,we identified an ...The recovery of valuable transition metals from deactivated catalysts is crucial for alleviating the challenges of resource scarcity and environmental pollution.Guided by AI-powered big data analysis,we identified an important research gap in the sustainable recovery of early transition metals and proposed a solid-phase upcycling strategy to transform waste catalysts into highly valuable single-atom catalysts(SACs).This involves a heat-induced redispersion of metal aggregates into single atoms on the polycrystalline carbon nitride(PCN)support,producing highly active M_(1)-PCN SACs up to 20 wt%(M=Cu,Fe,Co,and Ni).Subsequent techno-economic analysis confirms a two-thirds reduction in production cost and greenhouse gas emissions compared to conventional hydrometallurgical and pyrometallurgical processes,thus paving a new path in the development of sustainable technologies for metal recovery.展开更多
Supramolecular assembly is a versatile bottom-up strategy for creating advanced functional materials.Metallic platinum–platinum(Pt…Pt)interactions provide a distinctive driving force for supramolecular assembly due ...Supramolecular assembly is a versatile bottom-up strategy for creating advanced functional materials.Metallic platinum–platinum(Pt…Pt)interactions provide a distinctive driving force for supramolecular assembly due to their strong,directional,and longrange nature.Despite their importance,the microscopic dynamics underlying the self-assembly of Pt(II)complexes remain challenging to probe experimentally.Molecular dynamics(MD)simulations can capture these processes at atomic resolution,but extracting kinetic pathways is complicated by the indistinguishability and permutation of identical monomers within selfassembled structures.In this study,we employ GraphVAMPnet,a deep learning framework based on graph neural networks(GNN),on extensive MD simulations of amphiphilic PtB complexes during the early stage of self-assembly.GraphVAMPnet inherently accounts for permutational,rotational,and translational invariance,making it well-suited for analyzing self-assembly dynamics.Our analysis reveals three slow collective variables(CVs)that govern PtB self-assembly.The slowest mode(CV1)separates two distinct kinetic growth routes:an incremental growth mechanism,in which single monomers join existing aggregates with predominantly antiparallel packing between two adjacent PtB complexes(CV3),and a hopping growth mechanism,in which clusters of smaller size merge via heterogeneous collisions,yielding a mix of antiparallel and parallel packing arrangements(CV2).Further energetic analysis indicates that incremental growth is favored,potentially leading to the well-ordered nanosheet morphologies observed experimentally.Our findings provide molecular-level insight into PtB selfassembly pathways and showcase the capability of GraphVAMPnet in dissecting the complex dynamics of supramolecular assembly.展开更多
基金supported in part by the National Outstanding Youth Talents Support Program(No.61822304)the Basic Science Center Program of the NSFC(No.62088101)+2 种基金the Project of Major International(Regional)Joint Research Program of NSFC(No.61720106011)the Shanghai Municipal Science and Technology Major Project(No.2021SHZDZX0100)the Shanghai Municipal Commission of Science and Technology Project(No.19511132101).
文摘The multi-point dynamic aggregation(MPDA)problem is a challenging real-world problem.In the MPDA problem,the demands of tasks keep changing with their inherent incremental rates,while a heterogeneous robot fleet is required to travel between these tasks to change the time-varying state of each task.The robots are allowed to collaborate on the same task or work separately until all tasks are completed.It is challenging to generate an effective task execution plan due to the tight coupling between robots abilities and tasks'incremental rates,and the complexity of robot collaboration.For effectiveness consideration,we use the variable length encoding to avoid redundancy in the solution space.We creatively use the adaptive large neighborhood search(ALNS)framework to solve the MPDA problem.In the proposed algorithm,high-quality initial solutions are generated through multiple problem-specific solution construction heuristics.These heuristics are also used to fix the broken solution in the novel integrated decoding-construction repair process of the ALNS framework.The results of statistical analysis by the Wilcoxon rank-sum test demonstrate that the proposed ALNS can obtain better task execution plans than some state-of-the-art algorithms in most MPDA instances.
文摘To broaden the frequency width and increase the damping coefficient of a dynamic pressure damper, we designed an aggregative dynamic pressure damper (ADPD). Combined with the advantages of traditional dynamic pressure dampers (TDPD), ADPD can not only increase the damping coefficient in wide frequency range for valve control system, but also absorb partial pressure pulsations and impacts in the low and high frequency fields. Based on the theoretical research and the analysis compared with TDPD, we concluded that the ADPD was superior to the TDPD in the middle high frequency field, and the main parameters influencing the performance of the damper were the damping stiffness, orifice flow coefficient, pre-charge pressure, and the volume of the damper accumulator.
基金National Science Foundation of China,Grant/Award Numbers:51761165023,21734001。
文摘A new fused-ring electron acceptor FNIC3 with dynamics controlled aggregation behavior was synthesized.FNIC3 shows strong absorption in 600–900 nm,HOMO/LUMO energy levels of−5.59/−4.04 eV,and electron mobility of 1.2×10^(−3) cm^(2) V^(−1) s^(−1).The aggregation of FNIC3 shows strong dependency on film formation time.Prolongation of film formation time promotes the crystallization of FNIC3,leading to improved crystallinity and enlarged aggregate sizes.Aggregation of FNIC3 significantly influences the photovoltaic device parameters.Appropriate aggregation red-shifts the absorption and improves the mobilities of the blend,which contributes to high photocurrent and fill factor thus high power conversion efficiency(PCE).Overaggregation leads to increased nonradiative energy loss and insufficient charge generation,resulting in decreased open-circuit voltage and short-circuit current density.The blends based on PM6:FNIC3 fabricated under proper film formation time exhibit a PCE of 12.3%,higher than those fabricated under short and long film formation time(10.0–10.5%).
基金supported by the National Natural Science Foundation of China(51873204 and 51933010)the 111 Project(B21005)+3 种基金the National 1000-talent-plan program(1110010341)the Science and Technology Program of Shaanxi Province(2021KJXX-13)the Fundamental Research Funds for the Central Universities(GK202103104)supported by Open Research Fund of State Key Laboratory of Polymer Physics and Chemistry,Changchun Institute of Applied Chemistry,and Chinese Academy of Sciences.
文摘Stretchable organic solar cells(OSCs)have great potential as power sources for the next-generation wearable electronics.Although blending rigid photovoltaic components with soft insulating materials can easily endow the mechanical ductility of active layers,the photovoltaic efficiencies usually drops in the resulting OSCs.Herein,a high photovoltaic efficiency of 15.03%and a large crack-onset strain of 15.70%is simultaneously achieved based on a ternary blend consisting of polymer donor poly[(2,6-(4,8-bis(5-(2-ethylhexyl-3-fluoro)thiophen-2-yl)-benzo[1,2-b:4,5-b']dithiophene))-alt-(5,5-(1',3'-di-2-thienyl-5',7'-bis(2-ethylhexyl)benzo[1',2'-c:4',5'-c']dithiophene-4,8-dione))](PM6),non-fullerene accepter 2,2'-((2Z,2'Z)-((12,13-bis(2-ethylhexyl)-3,9-diundecyl-12,13-dihydro-[1,2,5]thiadiazolo[3,4-e]thieno[2",3":4',5']thieno[2',3':4,5]pyrrolo[3,2-g]thieno[2',3':4,5]thieno[3,2-b]indole-2,10-diyl)bis(methanylylidene))bis(5,6-difluoro-3-oxo-2,3-dihydro-1H-indene-2,1-diylidene))dimalononitrile(Y6),and soft elastomer polystyrene-block-poly(ethylene-ran-butylene)-block-polystyrene(SEBS)through the control of phase separation and crystallization.By employing a high-boiling point solvent additive 1-chloronaphthalene(CN)with different solubilities for PM6 and Y6,the aggregation dynamics of PM6 and Y6 as well as the film solidification process are dramatically altered,allowing for the different molecular rearrangement and liquid-liquid phase separation evolution.Consequently,the ternary film with optimal CN content presents decreased SEBS domains and moderately improved molecular ordering of PM6 and Y6,enabling effective mechanical deformation and charge generation/transport.The revealed corrections between the film-formation process,film microstructure,and photovoltaic/mechanical characteristics in the ternary blend provide deep understanding of the morphology control toward high-performance stretchable OSCs.
文摘This paper presents the implementation and performance of the best-effort multi-wavelength assignment with link aggregation on the SLAMNet (Statistical Lambda Multiplexing Network) test system.
基金supported by University Development Fund Research Start-up Fund from the Chinese University of Hong Kong(Shenzhen),Grant Number:‘UDF01002976’Shenzhen Science and Technology Program,Grant Number:‘JCYJ20230807114302005’,‘JCYJ20240813113559075’+5 种基金National Natural Science Foundation of China,Grant Number:‘22350410375’Young Scientists Fund of the National Natural Science Foundation of China,Grant Number:‘52202306’Basic and Applied Basic Research Foundation of Guangdong Province,Grant Number:‘2024A1515012504’Shenzhen Key Laboratory of Eco-materials and Renewable Energy,Grant Number:‘ZDSYS20200922160400001’Guangdong Introducing Innovative and Entrepreneurial Teams,Grant Number:‘2019ZT08L101’,‘RCTDPT2020-001’Shenzhen Science and Technology Innovation Program,Grant Number:‘JCYJ20240813142515020’.
文摘The recovery of valuable transition metals from deactivated catalysts is crucial for alleviating the challenges of resource scarcity and environmental pollution.Guided by AI-powered big data analysis,we identified an important research gap in the sustainable recovery of early transition metals and proposed a solid-phase upcycling strategy to transform waste catalysts into highly valuable single-atom catalysts(SACs).This involves a heat-induced redispersion of metal aggregates into single atoms on the polycrystalline carbon nitride(PCN)support,producing highly active M_(1)-PCN SACs up to 20 wt%(M=Cu,Fe,Co,and Ni).Subsequent techno-economic analysis confirms a two-thirds reduction in production cost and greenhouse gas emissions compared to conventional hydrometallurgical and pyrometallurgical processes,thus paving a new path in the development of sustainable technologies for metal recovery.
文摘Supramolecular assembly is a versatile bottom-up strategy for creating advanced functional materials.Metallic platinum–platinum(Pt…Pt)interactions provide a distinctive driving force for supramolecular assembly due to their strong,directional,and longrange nature.Despite their importance,the microscopic dynamics underlying the self-assembly of Pt(II)complexes remain challenging to probe experimentally.Molecular dynamics(MD)simulations can capture these processes at atomic resolution,but extracting kinetic pathways is complicated by the indistinguishability and permutation of identical monomers within selfassembled structures.In this study,we employ GraphVAMPnet,a deep learning framework based on graph neural networks(GNN),on extensive MD simulations of amphiphilic PtB complexes during the early stage of self-assembly.GraphVAMPnet inherently accounts for permutational,rotational,and translational invariance,making it well-suited for analyzing self-assembly dynamics.Our analysis reveals three slow collective variables(CVs)that govern PtB self-assembly.The slowest mode(CV1)separates two distinct kinetic growth routes:an incremental growth mechanism,in which single monomers join existing aggregates with predominantly antiparallel packing between two adjacent PtB complexes(CV3),and a hopping growth mechanism,in which clusters of smaller size merge via heterogeneous collisions,yielding a mix of antiparallel and parallel packing arrangements(CV2).Further energetic analysis indicates that incremental growth is favored,potentially leading to the well-ordered nanosheet morphologies observed experimentally.Our findings provide molecular-level insight into PtB selfassembly pathways and showcase the capability of GraphVAMPnet in dissecting the complex dynamics of supramolecular assembly.
