Results 171 to 180 of about 1,274,940 (254)
Citationwalk: Network Representation Learning with Scientific Documents
Juhyun Lee, Sangsung Park, Junseok Lee
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This work introduces a regionally localized electrolyte (RLE) that spatially separates ether‐ and carbonate‐based functions to stabilize both Li metal and high‐voltage cathodes. An immobilized ether‐rich layer directs Li+ transport, activates LiNO3 locally, and forms a uniform LiF‐rich SEI, enabling lower overpotential, uniform deposition, and long ...
Eunbin Lim +4 more
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Identifying influential nodes based on network representation learning in complex networks. [PDF]
Wei H +6 more
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Hydroxyl‐terminated MXene is integrated with a redox‐active covalent organic framework through electrostatic self‐assembly followed by hydrothermal treatment to construct MXene/COF heterostructures with a built‐in interfacial electric field. Termination‐controlled interfacial electronic modulation induces charge redistribution and favorable band ...
Cheru Fekadu Molla +4 more
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Detecting trends in academic research from a citation network using network representation learning. [PDF]
Asatani K, Mori J, Ochi M, Sakata I.
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Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
Hydrogen‐Bond–Driven Ion Retention in Electrolyte‐Gated Synaptic Transistors
Anion molecular design governs ion–polymer interactions in electrolyte‐gated synaptic transistors. Asymmetric anions induce hydrogen‐bond interactions that suppress ion back‐diffusion and stabilize doping, enabling enhanced nonvolatile synaptic properties.
Donghwa Lee +5 more
wiley +1 more source
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source

