Publications by authors named "Heejin Woo"
Conventional electronic (e-) skins are a class of thin-film electronics mainly fabricated in laboratories or factories, which is incapable of rapid and simple customization for personalized healthcare. Here a new class of e-tattoos is introduced that can be directly implemented on the skin by facile one-step coating with various designs at multi-scale depending on the purpose of the user without a substrate. An e-tattoo is realized by attaching Pt-decorated carbon nanotubes on gallium-based liquid-metal particles (CMP) to impose intrinsic electrical conductivity and mechanical durability.
View Article and Find Full Text PDFArticle Synopsis
- Solution-based thin-film processing is useful for making devices, but optimizing performance is challenging due to the multitude of experimental combinations.
- A new technique combines microfluidics with thin-film processing to quickly create and test different blends of semiconductors and polymers.
- Machine learning models, specifically Gaussian Process Regression (GPR), are used to predict device performance, helping researchers streamline the optimization process and understand complex relationships between parameters and performance.