Results 171 to 180 of about 3,408,458 (372)
Photoswitching Conduction in Framework Materials
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez +4 more
wiley +1 more source
Microstructure evolution in MA956 neutron irradiated in ATR at 328 °C to 4.36 dpa
Zhexian Zhang +3 more
openalex +2 more sources
Adjoint model for estimating material parameters based on microstructure evolution during spinodal decomposition [PDF]
Yuki Matsuura +2 more
openalex +1 more source
Anisotropic Shear Properties of Organic Interfaces in Bio‐composite Materials
A novel cantilever design enables direct probing of shear properties at single organic interfaces within biocomposite prismatic ultrastructures. By decoupling lateral and torsional shear responses, the method reveals isotropic behavior in Atrina vexillum and pronounced anisotropy in Unio pictorum.
Kian Tadayon +2 more
wiley +1 more source
Evolution of Microstructure and Hardness of Aluminium Alloy 6060 Processed by Cyclic Extrusion and Compression [PDF]
H J Madhu, M Shantharaja
openalex +1 more source
Copper catalysts introduced with different non‐metallic elements regulating the coordination number of Cu are prepared by magnetron sputtering. Reducing the Cu coordination number enhances C─C coupling and boosts C2+ product selectivity, by lowering the energy barrier for the *CO → *CHO conversion step. The optimized Si‐doped Cu catalyst achieves a C2+
Xiaoye Du +8 more
wiley +1 more source
Understanding Uncertainty in Microstructure Evolution and Constitutive Properties in Additive Process Modeling [PDF]
Matt Rolchigo +2 more
openalex +1 more source
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source

