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NICKEFFECT aims to develop novel ferromagnetic Ni-based coating materials to replace the scarce and costly Platinum and ensure high efficiency in key applications.

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Virtual Event

Webinar: Magneto-Ionics for Energy-Efficient Brain-Inspired Memory Devices (July 16, 2025)

July 16 @ 10:00 - 11:00
Virtual Event

Join us for an insightful webinar on July 16th at 10:00 CET, focusing on the groundbreaking field of nitrogen magneto-ionics and its potential to revolutionize energy-efficient memory and computing. This one-hour session, presented by Jordi Sort, NICKEFFECT project partner from Universitat Autònoma de Barcelona, will delve into the advancements shaping the future of brain-inspired memory devices.

What you’ll learn:

  • Discover how magneto-ionics, the control of magnetic properties through ion motion, offers a compelling solution for energy-efficient memory and computing;
  • Explore the unique advantages of nitrogen magneto-ionics in transition metal nitrides, enabling faster and more efficient magnetic switching at room temperature compared to traditional oxygen-based systems;
  • Understand how nitrogen ion transport in thin films allows for precise tuning of magnetization and coercivity, opening new avenues for in-memory computing, synaptic devices, and neuromorphic systems;
  • Learn about the remarkable planar, wave-like migration of nitrogen, an ideal characteristic for designing advanced multilayered memory architectures;
  • Gain insights into how voltage-driven ionic movement in nanoscale structures like FeCoN disks enables reversible transitions between distinct magnetic states, forming a versatile platform for programmable and brain-inspired memory.

This webinar is a must-attend for researchers, engineers, and anyone interested in the forefront of materials science, nanotechnology, and advanced computing.

Register now to secure your spot and explore how the emerging nitrogen-based magneto-ionic paradigm is paving the way for low-power, adaptive hardware for next-generation artificial intelligence and neuromorphic electronics.