Research

Physical Sensing and Contact Dynamics for Robotics with van der Waals Materials

We are developing ultra-sensitive mechanical sensing platforms to probe dynamic contact phenomena that are difficult to observe with conventional robotic sensing systems. By integrating advanced materials, flexible electronics, and high-bandwidth signal acquisition, we aim to build sensing architectures capable of revealing subtle interaction dynamics at the interface between robots and the physical world.

Key areas:

Ultra-sensitive sensing of dynamic contact phenomena in manipulation tasks
High-resolution measurement of force, deformation, and interaction dynamics

This effort bridges materials innovation and robotics, enabling hardware platforms that contribute to more reliable and physically aware robotic systems.

Extreme Transistor Scaling In the "Silicon-Impossible" Territory

We push the physical limits of transistor performance using two-dimensional semiconductors and advanced nanofabrication techniques. Our work focuses on understanding and engineering quantum transport in atomically thin channels to enable electronics that surpass the fundamental constraints of silicon.

Our research includes:

Large-scale synthesis of high-mobility 2D semiconductors
Ballistic and near-ballistic transport in ultra-short channels
Contact engineering to reduce resistance and maximize current delivery
Material–device–process co-optimization for next-generation electronics

Through the integration of materials innovation, device physics, and scalable fabrication, we aim to establish a new paradigm for transistor scaling beyond the silicon limit.

Neuromorphic and Memory-Centric Computing

By co-designing materials, devices, circuits, and algorithms, we aim to build new computing frameworks that go fundamentally beyond conventional digital architectures.

These next-generation hardware systems are inherently:

Energy-efficient
Compact
Tunable
Problem-aligned

Our approach treats the hardware not merely as a substrate for algorithms, but as an active computational medium whose physical laws encode useful transformations. Ultimately, we seek to demonstrate that the future of AI hardware lies in unlocking the computational power already embedded in the physics of devices.

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Research

Key areas:

Ultra-sensitive sensing of dynamic contact phenomena in manipulation tasks

High-resolution measurement of force, deformation, and interaction dynamics

Our research includes:

Large-scale synthesis of high-mobility 2D semiconductors

Ballistic and near-ballistic transport in ultra-short channels

Contact engineering to reduce resistance and maximize current delivery

Material–device–process co-optimization for next-generation electronics

Through the integration of materials innovation, device physics, and scalable fabrication, we aim to establish a new paradigm for transistor scaling beyond the silicon limit.

By co-designing materials, devices, circuits, and algorithms, we aim to build new computing frameworks that go fundamentally beyond conventional digital architectures.

These next-generation hardware systems are inherently:

Energy-efficient

Compact

Tunable

Problem-aligned