Spray-Deposited Anisotropic Ferromagnetic Hybrid Polymer Films of PS-b-PMMA and Strontium Hexaferrite Magnetic Nanoplatelets.
Wei CaoShanshan YinMartina PlankAndrei P ChumakovMatthias OpelWei ChenLucas P KreuzerJulian E HegerMarkus GalleiCalvin J BrettMatthias SchwartzkopfArtem A EliseevEvgeny O AnokhinLev A TrusovStephan V RothPeter Müller-BuschbaumPublished in: ACS applied materials & interfaces (2020)
Spray deposition is a scalable and cost-effective technique for the fabrication of magnetic hybrid films containing diblock copolymers (DBCs) and magnetic nanoparticles. However, it is challenging to obtain spray-deposited anisotropic magnetic hybrid films without using external magnetic fields. In the present work, spray deposition is applied to prepare perpendicular anisotropic magnetic hybrid films by controlling the orientation of strontium hexaferrite nanoplatelets inside ultra-high-molecular-weight DBC polystyrene-block-poly(methyl methacrylate) (PS-b-PMMA) films. During spray deposition, the evolution of DBC morphology and the orientation of magnetic nanoplatelets are monitored with in situ grazing-incidence small-angle X-ray scattering (GISAXS). For reference, a pure DBC film without nanoplatelets is deposited with the same conditions. Solvent-controlled magnetic properties of the hybrid film are proven with solvent vapor annealing (SVA) applied to the final deposited magnetic films. Obvious changes in the DBC morphology and nanoplatelet localization are observed during SVA. The superconducting quantum interference device data show that ferromagnetic hybrid polymer films with high coercivity can be achieved via spray deposition. The hybrid films show a perpendicular magnetic anisotropy before SVA, which is strongly weakened after SVA. The spray-deposited hybrid films appear highly promising for potential applications in magnetic data storage and sensors.
Keyphrases
- room temperature
- molecularly imprinted
- ionic liquid
- carbon nanotubes
- high resolution
- risk factors
- magnetic resonance
- deep learning
- electronic health record
- machine learning
- big data
- computed tomography
- molecular dynamics
- mass spectrometry
- artificial intelligence
- climate change
- data analysis
- quantum dots
- low cost
- solar cells