Current Developments in Memristor Technology


Parlar İ., Silahtar O.

8th International Conference on Engineering, Natural and Social Sciences-ICENSOS 2026, Konya, Türkiye, 6 - 07 Eylül 2026, cilt.1, sa.1, ss.1-3, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Konya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-3
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

Memristor technology has become a significant research area in recent years, particularly for next-generation computing systems, going beyond classical memory structures. The ability of memristors to change their resistance states based on the applied signal, and most importantly, their ability to store the final resistance point in memory, allows these devices to be used in both computation and data storage. Significant advancements have been made in memristor-based in-memory computing and neuromorphic computing in recent years. Reducing the need for continuous data transfer between the processor and memory drastically lowers energy consumption in memristor-based systems, enabling increased processing speed. This feature makes them the most important semiconductor material in artificial intelligence applications in recent years, addressing the increasing computational and energy requirements. This study evaluates current developments in memristor technology in terms of device architectures, material structures, in-memory computing, and neuromorphic systems. Furthermore, the potential for memristor applications in fields such as artificial intelligence and smart sensors is reaching very advanced levels. However, existing issues such as device-to-device noise, reliability, scalability, and integration with CMOS technologies are also being investigated. Current studies show that memristors are being considered not only as memory elements, as in the past, but also as functional electronic structures capable of directly performing computational operations. Consequently, it is emphasized that for widespread commercial use of memristor technology in the development of energy efficiency, artificial intelligence, and neuromorphic computing systems in the coming years, further development of device reliability and manufacturing processes is needed.