Results 101 to 110 of about 917,147 (305)
Robustness of networks with topologies of dependency links [PDF]
arXiv, 2014 The robustness of complex networks with dependencies has been studied in recent years. However, previous studies focused on the robustness of networks composed of dependency links without network topology. In this study, we will analyze the percolation properties of a realistic network model where dependency links follow certain network topology.
arxiv
Advanced Functional Materials, EarlyView.The non‐fullerene acceptor o‐IDT‐BT‐DCV is used in both binary and ternary blends to investigate the role that it plays in each device architecture. The charge generation pathways are found to differ between the binary and ternary blends with o‐IDT‐BT‐DCV becoming a second donor in the ternary blend.
Hui Jin +10 more
wiley +1 more source
Making Photoresponsive Metal–Organic Frameworks an Effective Class of Heterogeneous Photocatalyst
Advanced Functional Materials, EarlyView.This review summarizes photoresponsive MOFs for photocatalytic applications, focusing on their capacity to enhance light harvesting, charge transfer, and surface reactions. While existing studies provide foundational insights, emerging characterization techniques enable a deeper understanding of photoresponsive MOFs.
Rui Liu +3 more
wiley +1 more source
Optimal Low-Latency Network Topologies for Cluster Performance Enhancement [PDF]
arXiv, 2019 We propose that clusters interconnected with network topologies having minimal mean path length will increase their overall performance for a variety of applications. We approach our heuristic by constructing clusters of up to 36 nodes having Dragonfly, torus, ring, Chvatal, Wagner, Bidiakis and several other topologies with minimal mean path lengths ...
arxiv
Advanced Functional Materials, EarlyView.A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer +12 more
wiley +1 more source
Topology control algorithm backing for network coding in cognitive wireless ad hoc networks
Tongxin xuebao, 2013 In order to study the limited bandwidth resource in cognitive wireless ad hoc network,a topology control algo-rithm backing for network coding was proposed.The algorithm was mainly composed of three phases.In the stage of ini-tial topology construction ...
Jun LIU +4 more
doaj +2 more sources
Advanced Functional Materials, EarlyView.A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu +8 more
wiley +1 more source
Efficient topology control for time-varying spacecraft networks with unreliable links
International Journal of Distributed Sensor Networks, 2019 In spacecraft networks, the time-varying topology, intermittent connectivity, and unreliable links make management of the network challenging. Previous works mainly focus on information propagation or routing. However, with a large number of nodes in the
Wei Zhang +4 more
doaj +1 more source
The topology of the kinetoplast DNA network
Cell, 1995 Kinetoplast DNA (kDNA) of trypanosomatid parasites is a network of approximately 5000 catenated DNA minicircles and approximately 25 maxicircles. We developed the following strategy to deduce the topological linkage of the minicircles of the Crithidia fasciculata network.
James H. White +4 more
openaire +2 more sources
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Advanced Functional Materials, EarlyView.Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti +3 more
wiley +1 more source