Ferroelectronics Lab

Understanding and utilizing non-volatile properties of materials

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New Publication! “Thermodynamic Origins of Nonvolatility in Resistive Memory”

August 26, 2024 By Avery-Ryan Ansbro

Abstract: Electronic switches based on the migration of high-density point defects, or memristors, are poised to revolutionize post-digital electronics. Despite significant research, key mechanisms for filament formation and oxygen transport remain unresolved, hindering our ability to predict and design device properties. For example, experiments have achieved 10 orders of magnitude longer retention times than predicted by current models. Here, using electrical measurements, scanning probe microscopy, and first-principles calculations on tantalum oxide memristors, we reveal that the formation and stability of conductive filaments crucially depend on the thermodynamic stability of the amorphous oxygen-rich and oxygen-poor compounds, which undergo composition phase separation. Including the previously neglected effects of this amorphous phase separation reconciles unexplained discrepancies in retention and enables predictive design of key performance indicators such as retention stability. This result emphasizes non-ideal thermodynamic interactions as key design criteria in post-digital devices with defect densities substantially exceeding those of today’s covalent semiconductors.

Full text available from Matter

Filed Under: Publications Tagged With: device, memristor, Tony Chiang

New Publication! “Perspective: Entropy-Stabilized Oxide Memristors”

August 15, 2024 By Avery-Ryan Ansbro

Abstract: A memristor array has emerged as a potential computing hardware for artificial intelligence (AI). It has an inherent memory effect that allows information storage in the form of easily programmable electrical conductance, making it suitable for efficient data processing without shuttling of data between the processor and memory. To realize its full potential for AI applications, fine-tuning of internal device dynamics is required to implement a network system that employs dynamic functions. Here, we provide a perspective on multicationic entropy-stabilized oxides as a widely tunable materials system for memristor applications. We highlight the potential for efficient data processing in machine learning tasks enabled by the implementation of “task specific” neural networks that derive from this material tunability.

Full text available from Applied Physics Letters

Filed Under: Publications Tagged With: device, high entropy, memristor, Sieun Chae

New publication! “Efficient Data Processing Using Tunable Entropy-Stabilized Oxide Memristors“

May 21, 2024 By Avery-Ryan Ansbro

Abstract: Memristive devices are of potential use in a range of computing applications. However, many of these devices are based on amorphous materials, where systematic control of the switching dynamics is challenging. Here we report tunable and stable memristors based on an entropy-stabilized oxide. We use single-crystalline (Mg,Co,Ni,Cu,Zn)O films grown on an epitaxial bottom electrode. By adjusting the magnesium composition (XMg = 0.11–0.27) of the entropy-stabilized oxide films, a range of internal time constants (159–278 ns) for the switching process can be obtained. We use the memristors to create a reservoir computing network that classifies time-series input data and show that the reservoir computing system, which has tunable reservoirs, offers better classification accuracy and energy efficiency than previous reservoir system implementations.

Full text available from Nature Electronics

Filed Under: Publications Tagged With: high entropy, Matt Webb, memristor, Sieun Chae, Tony Chiang

News

  • New Publication! “Engineering antiferromagnetic magnon bands through interlayer spin pumping” March 28, 2025
  • New Publication! “Polydopamine-Assisted Electroless Deposition of Magnetic Functional Coatings for 3D-Printed Microrobots” January 31, 2025
  • New Publication! “Geometric effects in the measurement of the remanent ferroelectric polarization at the nanoscale”  January 14, 2025

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About

Our research is at the intersection of multiple disciplines, drawing on principles and methodologies from materials science, chemistry, physics, and electrical engineering. Our mission is to pioneer … Read More

News

New Publication! “Engineering antiferromagnetic magnon bands through interlayer spin pumping”

March 28, 2025 By Avery-Ryan Ansbro

New Publication! “Polydopamine-Assisted Electroless Deposition of Magnetic Functional Coatings for 3D-Printed Microrobots”

January 31, 2025 By Avery-Ryan Ansbro

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