Strategic Development of Memristors for Neuromorphic Systems: Low‐Power and Reconfigurable Operation

The ongoing global energy crisis has heightened the demand for low-power electronic devices, driving interest in neuromorphic computing inspired by the parallel processing of human brains and energy efficiency. Reconfigurable memristors, which integrate both volatile and non-volatile behaviors within a single unit, offer a powerful solution for in-memory computing, addressing the von Neumann bottleneck that limits conventional computing architectures. These versatile devices combine the high density, low power consumption, and adaptability of memristors, positioning them as superior alternatives to traditional complementary metal-oxide-semiconductor (CMOS) technology for emulating brain-like functions. Despite…

• MO
  Ministry of Education

  Awards: 2023R1A2C3007358, RS‐2023‐00244431, RS‐2023‐00243849
• NR
  National Research Foundation of Korea