University of Massachusetts Amherst

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Research Area: Nanoelectronics

Theoretical, numerical, and experimental problems related to devices, circuits, and computer architectures based on nanotubes, nanowires, memristors, spin-wave structures, quantum cellular automata, and other nanostructures.

Research Laboratories

Integrated Nanobiotechnology Laboratory
Here we build multi-functional molecule detection and cell imaging tools, aiming to offer new capabilities for important biomedical applications. With an affinity for diverse areas in nanodevices, bioelectronics, and synthetic biology, we enjoy the bandwidth our work spans over and the problem-oriented way of thinking.
Nanodevices and Integrated Systems Laboratory

Moore's Law, which predicts that the number of transistors on a chip will double every 18 months, has become a principle for the IC industry in delivering more and more powerful semiconductor chips at decreasing cost per transistor. However, there is plenty of but not unlimited room at the bottom. Continuing evolution of electronics beyond the scaling limit requires revolutionary vision and broad thinking across disciplines. In the post-CMOS era, there are great needs for novel devices, disruptive technologies, alternative computer architecture and advanced materials.

Our lab is devoted to addressing some of the aforementioned issues. Specifically, we are focusing on beyond-CMOS devices such as high performance resistance switches (memristors) and their working mechanisms; integrated nanosystems with applications in unconventional computing, reconfigurable radiofrequency systems, hardware security and beyond; and enabling nanotechnologies such as 3D heterogeneous integration and high-rate nanofabrication techniques with single-digit resolution.

Nanoelectronics Theory and Simulation Laboratory

We are focusing our research activities in theoretical and computational nanosciences with engineering applications related to emerging semiconductor nanostructures, post-CMOS nanoelectronic devices and computing paradigms, and nanoenergy materials. Our current research topics include:

  • First-principles DFT electronic structure calculations and quantum electron transport modeling
  • Electro-thermal transport simulations, nanoscale heat transfer, and dissipation in nanoscale devices
  • Energy applications: thermoelectric energy conversion and thermal devices
  • Quantum-physical models of classical information processing in nanosystems
  • Exploration of fundamental physical limits in nanoelectronic computing via physical information theory
  • Fundamental studies of heat dissipation in nanoelectronic computing.
  • real-time TDDFT calculations: applications to electronic spectroscopy and THz response of Carbon-based devices
  • Large-scale numerical simulations, numerical algorithms and high-performance computing
Nanoscale Computing Fabrics Lab

This group is led by Prof. Csaba Andras Moritz. Our research addresses the fundamental problem of how to realize computation with nanotechnology. Our focus is on post-CMOS nanoscale fabrics and associated models of computation, based on emerging nanodevices (nanowire, spintronics, and graphene) and novel nanomanufacturing paradigms. We follow a 'fabric-centric' mindset - an integrated approach across various design levels (architecture, circuits, devices and manufacturing at nanoscale), leveraging the unique properties of new nanomaterials/nanodevices/physical phenomena. We do experimental (Cleanroom) work in addition to detailed cross-layer theoretical exploration.

Yang Research Group

Existing technologies for the current computing system are approaching their physical limits, and novel device concepts are required as device sizes continuously decrease. Under these new concepts, the devices need to be not only increasingly infinitesimal and simple but also increasingly capable.

Accordingly, we have three major research thrusts towards unconventional computing technologies:

  1. High performance Non-volatile memories;
  2. Analog computing using Resistance analog switches;
  3. Neuromorphic / Synaptic computing using memristive devices.