Summary
Magnetoelectric multiferroics are materials that exhibit correlated ferroelectric and ferromagnetic properties (i.e., a magnetoelectric effect). The resulting ability of these materials to simultaneously store data in electric polarization and magnetic moment could increase data storage density and data processing speed while reducing energy consumption. This project aims to design and fabricate new composite multiferroic nanostructures with enhanced interactions between the electric polarization and spin by coupling ferroelectric and ferromagnetic components (preliminary examples of such nanostructures can be seen in the figure). First, ferromagnetic components with variable compositions and ferroelectric components with different nanostructure sizes and morphologies will be synthesized and characterized. The optimized ferroelectric and ferromagnetic components will be coupled to form the composite multiferroics, which will be probed at ensemble and single nanostructure levels to investigate the magneto-electrical properties. Additional tests will be run to optimize the fabrication method and to propose improved materials, configurations, and compositions for multiferroics systems that demonstrate enhanced magnetoelectric coupling in quantum communication applications. The results of this work can inform future designs of multifunctional nanomaterials for improved information processing and memory storage technologies.
(a) Magnetic hysteresis loops of multiferroic nanocomposite at 5 K and 300 K. Inset: Transmission electron microscopy (TEM) image of ferromagnetic cobalt ferrite nanocubes used to prepare the composite. (b) TEM image of composite core-shell multiferroic nanowire and the corresponding elemental line scan. (c) High resolution TEM image of an interface between ferroelectric and ferromagnetic components.(What is CFO and PTO?)
Related Content
Portable Quantum Dot Measurement System
Summary Detecting heavy metals in water is essential to ensure clean drinking water and appropriate regulatory decisions following an accident (e.g., a spill) or an emergency. Traditionally, high-sensitivity detection of heavy metals requires bulky and costly (to purchase and operate) lab-based instruments. We propose developing a palm-sized, element-specific, highly-sensitive, battery-operated, smartphone-controlled system for on-site measurement […]
July 21, 2022
Visible wavelength external cavity diode lasers in photonic integrated circuits for atomic technologies
Atoms can be controlled by manipulating their internal states using agile, quiet and reliable laser sources. An external-cavity diode laser (ECDL) is a crucial enabling technology to realize such laser sources since it allows for the narrowing of the linewidth of a laser diode and precise tuning of the laser frequency. This project aims to […]
April 19, 2023
QuantumIon: an open-access quantum computing platform
Summary Trapped ions are one of the most advanced technologies for quantum computing, offering multi-qubit control in a universal quantum computing architecture and the ability to perform calculations with unprecedented precision. In this project we construct a shared trapped-ion quantum computing platform, QuantumIon, that will enable a broader and interdisciplinary scientific community to access an […]
September 9, 2019
Building Blocks for Quantum Neuromorphic Computing: Superconducting Quantum Memcapacitors
Quantum neuromorphic computing (QNC) is a novel method that combines quantum computing with brain-inspired neuromorphic computing. Neuromorphic computing performs computations using a complex ensemble of artificial neurons and synapses (i.e., electrical circuits) to emulate the human brain. QNC may lead to a quantum advantage by realizing these components with quantum memory elements, or memelements, which […]
June 12, 2023