Lab of Mesoscopic Physics and Quantum Devices

Lab of Mesoscopic Physics and Quantum Devices

The research in our lab focuses on the study of fundamental electronic properties of two-dimensional materials and their applications in information devices. Our goal is to bridge the gap between physical property engineering and device applications, and eventually build up an impact on future electronic technology.

Latest News

NOV 25

Collaborative Team from NJU/NJUST/ZJU/ShanghaiTech Reports in PRL: First Realization of All-Electric Self-Reversal of Antiferromagnetic Order

SEP 25

Professor Miao Feng Mentors Ke Jiajun's Team to Win Best AIGC Creation Award in the 2025 Penguin Science Video Competition

SEP 24

Nanjing University's Team Led by Liang Shijun and Miao Feng Achieves the Highest Computational Precision Analog In-Memory Computing Chip to Date!

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Research Team

Miao Feng

Other Members

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Research Directions

Synthesis & Investigation of Quantum Materials

We explore high-quality two-dimensional quantum materials, studying their magnetoelectric coupling, correlation effects, superconductivity, topology, and other novel properties. We also advance their applications in low-power electronics and optoelectronic devices, developing large-area growth and integration processes.

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Quantum State Manipulation and Quantum Simulation

Quantum simulators provide solutions for complex quantum systems that exceed the capabilities of current computers. Due to their rich properties and tunability, two-dimensional layered materials and heterostructures have become ideal platforms for solid-state quantum simulators, offering new opportunities to simulate and understand complex phenomena like quantum phase transitions.

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New Principle Electronic and Optoelectronic Devices

Two-dimensional quantum materials, with their unique physical properties, have attracted widespread attention in the post-Moore era. We focus on how to utilize these properties to design new-principle information devices, especially by controlling charge, spin, energy valleys, interlayer order, and topological order in two-dimensional quantum materials and heterostructures.

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Neuromorphic Computing Devices and Systems

The human brain is the most complex intelligent system known in the universe, with adaptive, learning, and parallel computing capabilities, while consuming very little power. By closely simulating the structure and functions of the brain, we aim to achieve low-power, high-intelligence "neuromorphic computing systems."

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