Memristive devices, which combine a resistor with memory functions such that voltage
pulses can change their resistance (and hence their memory state) in a nonvolatile manner …

Unprecedented penetration of artificial intelligence (AI) algorithms has brought about rapid
innovations in electronic hardware, including new memory devices. Nonvolatile memory …

Probabilistic computing using random number generators (RNGs) can leverage the inherent
stochasticity of nanodevices for system-level benefits. Device candidates for this application …

In-memory computing (IMC) aims at executing numerical operations via physical processes,
such as current summation and charge collection, thus accelerating common computing …

We have successfully demonstrated a 1 Kb spin-orbit torque (SOT) magnetic random-access
memory (MRAM) multiplexer (MUX) array with remarkable performance. The 1 Kb MUX …

This paper introduces the operation and features of Spin-Transfer-Torque Magnetoresistive
Random Access Memory (STT-MRAM), and provides a brief history of the field. Then the four …

Electrically controllable nonvolatile magnetic memories show great potential for the
replacement of conventional semiconductor-based memory technologies. Here, we …

Memristors have emerged as promising devices for enabling efficient multiply-accumulate
(MAC) operations in crossbar arrays, crucial for analog in-memory computing (AiMC) …

This article is written on behalf of many colleagues, collaborators, and researchers in the
field of advanced materials who continue to enable and undertake cutting-edge research in …

The conventional computing paradigm struggles to fulfill the rapidly growing demands from
emerging applications, especially those for machine intelligence because much of the …