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Symposium on Ferroelectric Materials and Devices for Next-Generation Computing at E-MRS Fall Meeting 2026


Ferro4EdgeAI is pleased to support Symposium K: “Ferroelectric Materials and Devices for Next-Generation Computing” at the 2026 Fall Meeting of the European Materials Research Society (E-MRS), taking place from 14–17 September 2026 at Warsaw University of Technology, Poland.

The symposium will bring together researchers working on ferroelectric materials, device physics, and emerging computing technologies, with a strong focus on hafnia-based ferroelectrics and their applications in next-generation electronics, memory technologies, and edge AI systems.

Organised by Sara Gonzalez (INL-CNRS), Nicholas Barrett (CEA IRAMIS), and Ruben Alcala (NaMLab), the symposium aims to foster interdisciplinary exchanges between materials scientists, device engineers, and industry researchers working on innovative ferroelectric-based technologies.

Topics covered during the symposium include:

  • Hafnium oxide–based ferroelectrics and related materials

  • Polarization mechanisms and domain dynamics

  • Reliability and stability of ferroelectric devices

  • Interface engineering and CMOS-compatible integration

  • Advanced characterization and modelling approaches

  • Ferroelectric-based memories, logic devices, and analog computing elements

  • Materials challenges for future applications

Particular emphasis will be placed on low-power and energy-efficient computing architectures, including applications for neuromorphic computing and edge AI, which are central themes within the Ferro4EdgeAI project.

Students and early-career researchers are especially encouraged to participate and contribute to discussions shaping the future of ferroelectric materials and next-generation computing technologies.

Abstract submission deadline: 1 June 2026

More information about the symposium and submission process is available on the official E-MRS website:

E-MRS Symposium K – Ferroelectric Materials and Devices for Next-Generation Computing

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