UMass Lowell ECE · Launching Fall 2026

Spintronic materials and devices for future computing.

We study materials and devices that utilize the spin degree of freedom for energy-efficient electronics, memory, AI hardware, and quantum technologies.

Concept illustration of spintronic computing-in-memory hardware and an AI neural network

Research at a glance

Our group connects materials physics, device engineering, and computing architectures. The long-term goal is to translate spin-based phenomena into useful hardware platforms for electronics and computing.

Novel spintronic materials

Antiferromagnets, altermagnets, non-collinear magnets, van der Waals magnets, and oxide/metal heterostructures for efficient spin generation, dynamics, and readout.

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Magnetic memory and AI hardware

MRAM, voltage-controlled magnetic memory, stochastic spintronic devices, radiation-hardened nonvolatile memory, and compute-in-memory concepts for AI hardware.

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Cryogenic spintronics

Superconducting diode memory and spintronic microwave devices for scalable cryogenic and quantum information systems.

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News

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  • Fall 2026

    Cheng Lab launches in the Department of Electrical and Computer Engineering at UMass Lowell.