As the cornerstone of today’s rapid advances in artificial intelligence (AI), the electronics landscape is undergoing swift transformation. Memristor technologies, including memristive, memcapacitive, and meminductive nanodevices, are emerging and thriving as pillars of innovation, heralding the dawn of a new era in sensing, processing and information storage. By transcending the limitations of purely CMOS-based integrated circuits, they are poised to foster groundbreaking developments in hybrid, unconventional computing machines, paving the way for future intelligence in the More-than-Moore era.

MEMRISYS 2026 will be held in person. We look forward to your arrival in Darmstadt — join us for another unforgettable experience in the MEMRISYS conference series!

MEMRISYS 2026 will delve into the forefront of memristor technologies, highlighting the employment of the latest AI to accelerate memristor technologies and, in turn, scalable and energy-efficient computing paradigms and systems fueled by memristors’ diverse features. Specifically, discussions will encompass a wide variety of related themes:

Fundamentals of Memristor Technology: Theory, Materials, Circuits & Systems
Electronic Design Automation for Memristor Technology: Materials, Circuits & Systems
Memristor Devices, Materials, and Circuits for Emerging Memories
Memristor Devices, Materials, and Circuits for In-memory Computing
Memristor Devices, Materials, and Circuits for Unconventional Computing
Memristor Devices, Materials, and Circuits for In Materia Computing
CMOS Integration of Memristor Circuits and Systems
Memristor-based Architectures for Hardware Accelerators
Memristor Applications in Cellular Neural/Nonlinear Networks
Memristor Applications in Neuromorphic Computing
Memristor Applications in Data Sensing and Signal Processing
Memristor Applications in Dynamic/Deep Neural Networks
Memristor Applications in Artificial Intelligence
Memristor Applications in Emerging Computing Paradigms
Memristor Applications in Photonics
Memristor Applications in Spintronics
Memristor Applications in Quantum Computing
Nonlinear Dynamical Material Properties for Bioinspired Memristor Circuits
Quantum Phenomena in Memristors Technologies
Neuromorphic Processors and Sensors