Spin Transport and Control Systems Project

Spin Transport and Control Systems Project investigated the control, measurement, and theoretical modeling of spin systems at the nanoscale. Originating from the challenges of magnetic resonance force microscopy (MRFM), the project developed novel approaches to spin detection using high-quality microcantilevers, real-time feedback, and heterodyne digital control.

A core contribution of the project is the theory of separative magnetization transport—a framework for modeling spin behavior in spatially varying fields as a separative process, akin to thermodynamic transport. This theoretical work was complemented by the design of a maintainable, low-barrier instrumentation architecture using single-board microprocessor-FPGA systems. These systems unified control, lock-in amplification, spectral analysis, and signal generation within a single programmable device, dramatically reducing complexity and cost for experimental setups.

Key outcomes include:

  • A separative model of magnetization transport applicable to spin imaging
  • A real-time heterodyne control system deployable on embedded FPGA hardware
  • Generalizable tools for precision feedback control of harmonic oscillators

This project bridged physics, mechanical engineering, and computation to enable scalable spin-based instrumentation, and laid the groundwork for my subsequent work in control systems and real-time computing.

A block diagram of the cantilever feedback control loop with heterodyne control. The MRFM signal is detected by the microcantilever G, which is measured to have the position q. The feedback loop includes the heterodyne controller, which downmixes the signal, applies optimal control with an amplitude command and phase compensation, and upmixes the signal before being fed back via the control coil. {% cite 'picone2017' %}

A block diagram of the cantilever feedback control loop with heterodyne control. The MRFM signal is detected by the microcantilever G, which is measured to have the position q. The feedback loop includes the heterodyne controller, which downmixes the signal, applies optimal control with an amplitude command and phase compensation, and upmixes the signal before being fed back via the control coil. (Picone et al., 2017)

Publications

Method and System for Concentrating Magnetization of Nuclear Spins
  1. Sidles, John A., Joseph L. Garbini, Rico A.R. Picone, and Jonathan P. Jacky. "Method and System for Concentrating Magnetization of Nuclear Spins". US9810758B2.
2017
Instrumentation and Control of Harmonic Oscillators via a Single-Board Microprocessor-FPGA Device
  1. Picone, Rico A. R., Solomon Davis, Cameron Devine, Joseph L. Garbini, and John A. Sidles. "Instrumentation and Control of Harmonic Oscillators via a Single-Board Microprocessor-FPGA Device". Review of Scientific Instruments 88, no. 4: 045108.
2017
  1. Picone, Rico A.R., John A. Sidles, and Joseph L. Garbini. "Application of a Thermodynamical Framework for Transport Analysis to the Derivation of Dirac's Value Function". ArXiv e-prints.
2016
Modeling Spin Magnetization Transport in a Spatially Varying Magnetic Field
  1. Picone, Rico A.R., Joseph L. Garbini, and John A. Sidles. "Modeling Spin Magnetization Transport in a Spatially Varying Magnetic Field". Journal of Magnetism and Magnetic Materials 374, no. 0: 440 - 450.
2015
  1. Picone, Rico A.R.. "Separative Magnetization Transport: Theory, Model, and Experiment".
2014
  1. Sidles, John A., Joseph L. Garbini, Jonathan P. Jacky, and Rico A. R. Picone. "Quantum Spin Microscopy's Emerging Methods, Roadmaps, and Enterprises". Proceedings of 52nd ENC.
2011
  1. Picone, Rico A.R.. "Investigating the effects of polarizing diffusion in magnetic resonance force microscopy".
2010
  1. Sidles, John A., Joseph L. Garbini, Jonathan P. Jacky, Rico A. R. Picone, and Scott A. Harsila. "Elements of Naturality in Dynamical Simulation Frameworks for Hamiltonian, Thermostatic, and Lindbladian Flows on Classical and Quantum State-Spaces". ArXiv e-prints.
2010

Grants

Research Themes

Project Team

Rico Picone

Principal Investigator • Saint Martin's University

Rico Picone

Joseph L. Garbini

Co-Principal Investigator • University of Washington

Joseph L. Garbini

John A. Sidles

Co-Principal Investigator • University of Washington

John A. Sidles

Cameron N. Devine

Co-Principal Investigator • Allen Institute

Cameron N. Devine

Jonathan P. Jacky

Research Scientist • University of Washington

Jonathan P. Jacky

Doug Mounce

Grant Administrator • University of Washington

Doug Mounce