Results 161 to 170 of about 25,566 (261)
A giant insulator to metal transition and emergent superparamagnetism are revealed by nanoparticle exsolution in non‐stoichiometric titanate perovskite thin films. By combining transport, synchrotron spectroscopy, and first‐principles calculations, this work reveals how defect reconfiguration and lattice reconstruction fundamentally reshape electronic ...
Sungil Kim +11 more
wiley +1 more source
Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art. [PDF]
Tuci E, Alkilabi MHM, Akanyeti O.
europepmc +1 more source
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
By designing a P/N‐ and π–π interacting biphenyl‐containing diol as hard segments but side groups, a strong, tough, fire‐extinguishing and self‐healing elastomer is developed, demonstrating a break strain of ∼2500%, a toughness of 379 MJ/m3 and a tensile strength of 46 MPa, as well as a healing efficiency of 95% (tensile strength) and 99% (break strain)
Yijiao Xue +11 more
wiley +1 more source
Symbiotic Navigation in Multi-Robot Systems with Remote Obstacle Knowledge Sharing. [PDF]
Ravankar A +3 more
europepmc +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels +4 more
wiley +1 more source
Inspired by the octopus and the golden wheel spider, soft robots with liquid crystal elastomer arc fibers as appendages are fabricated to transcend surface constraints through an elevated center of mass and minimal contact footprints. By leveraging curvature‐encoded deformation‐recovery cycles, these robots exhibit contractile, torsional, and flexural ...
Jong Bin Kim +5 more
wiley +1 more source
This work develops bias‐triggered conductivity relaxation as a novel technique to study oxygen reactions in mixed ionic‐electronic conducting thin films by integrating electrochemical titration and electrical conductivity relaxation to achieve synchronous multi‐parameter characterization, providing simultaneous electronic, ionic, and extraordinarily ...
Alexander Stangl +4 more
wiley +1 more source

