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Jackie Zhi Yao

Alvarez Postdoctoral Researcher, Computational Research Division


Contact Information

Jackie Zhi Yao
MS 50A-3111
Lawrence Berkeley National Lab
1 Cyclotron Rd.
Berkeley, CA 94720

Jackie_ZhiYao@lbl.gov

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Affiliation and Research Interests

I am the 2019 Alvarez Postdoctoral Scholar in the Computational Research Division of the Computing Sciences Area at the Lawrence Berkeley National Laboratory. I have a combined background of computational science and domain sciences of waves, materials, and wireless techniques. I currently target at modeling multiphysics coupling effects previously disregarded due to the difficulty in existing numerical solutions. In this new approach, I intend to include linear/nonlinear effects from quantum to classical, nanometer to centimeter (multiscale), and DC to THz (multi-temporal), providing a pathway to engineer light-matter interaction of critical importance to future devices and computation methods.

Specifically, currently I'm working on the modeling and design of quantum computing testbed, focusing on the interaction between photons and superconducting qubits. In the meantime, I also work on the development of multi-physics software under the framework of AMReX , with features of massively parallel computing and block-structured adaptive mesh refinement (AMR).


Previously

I received the Ph.D. degree in December of 2017 from University of California, Los Angeles (UCLA), and continued pursuing research as a postdoc until September of 2019. During my graduate study, my research has been centered on using new physical coupling in potential electronic devices. This includes modeling and characterization of miniaturized magnetic components in radio-frequency (RF) systems, specifically nonlinear dynamic magnetic spin oscillations interacting with EM waves. I have developed a numerical algorithm to predict the influence of magnetic spins on the performance of compact RF devices, including strain-mediated antennas. Such modeling tools enable a unique ability to accurately model and design next-generation RF systems and components.

Publications