The frontier of information processing lies in nanoscience and nanotechnology research. At the nanoscale, materials and structures can be engineered to exhibit interesting new properties, some based on quantum mechanical effects. Our research focuses on developing nanofabrication technology at the few-nanometer length-scale. We use these technologies to push the envelope of what is possible with photonic and electrical devices, focusing in particular on superconductive and free-electron devices. Our research combines electrical engineering, physics, and materials science and helps extend the limits of nanoscale engineering.
LATEST EVENTS IN OUR GROUP
11.17.2019
Andrew Dane awarded Best Poster at the 706th W.E. Heraeus Seminar
Congratulations to Andrew Dane, who won the best poster award at the 706th W.E. Heraeus Seminar, titled Superconducting Kinetic Inductances for his work on high-Q superconducting niobium resonators incorporating nanoscale... Read more >>
Andrew Dane awarded Best Poster at the 706th W.E. Heraeus Seminar
Congratulations to Andrew Dane, who won the best poster award at the 706th W.E. Heraeus Seminar, titled Superconducting Kinetic Inductances for his work on high-Q superconducting niobium resonators incorporating nanoscale... Read more >>
11.14.2019
New Publication “Focused-helium-ion-beam blow forming of nanostructures: radiation damage and nanofabrication”
Targeted irradiation of nanostructures by a finely focused ion beam provides routes to improved control of material modification and understanding of the physics of interactions between ion beams and nanomaterials.... Read more >>
New Publication “Focused-helium-ion-beam blow forming of nanostructures: radiation damage and nanofabrication”
Targeted irradiation of nanostructures by a finely focused ion beam provides routes to improved control of material modification and understanding of the physics of interactions between ion beams and nanomaterials.... Read more >>
10.22.2019
New Publication “Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network training”
Training of deep neural networks (DNNs) is a computationally intensive task and requires massive volumes of data transfer. Performing these operations with the conventional von Neumann architectures creates unmanageable time... Read more >>
New Publication “Design and characterization of superconducting nanowire-based processors for acceleration of deep neural network training”
Training of deep neural networks (DNNs) is a computationally intensive task and requires massive volumes of data transfer. Performing these operations with the conventional von Neumann architectures creates unmanageable time... Read more >>
10.10.2019
New Publication “Detecting Sub-GeV Dark Matter with Superconducting Nanowires”
We propose the use of superconducting nanowires as both target and sensor for direct detection of sub-GeV dark matter. With excellent sensitivity to small energy deposits on electrons and demonstrated... Read more >>
New Publication “Detecting Sub-GeV Dark Matter with Superconducting Nanowires”
We propose the use of superconducting nanowires as both target and sensor for direct detection of sub-GeV dark matter. With excellent sensitivity to small energy deposits on electrons and demonstrated... Read more >>
9.27.2019
New Publication “Investigation of ma-N 2400 series photoresist as an electron-beam resist for superconducting nanoscale devices”
Superconducting nanowire-based devices are increasingly being used in complex circuits for applications such as photon detection and amplification. To keep up with the growing circuit complexity, nanowire processing is moving... Read more >>
New Publication “Investigation of ma-N 2400 series photoresist as an electron-beam resist for superconducting nanoscale devices”
Superconducting nanowire-based devices are increasingly being used in complex circuits for applications such as photon detection and amplification. To keep up with the growing circuit complexity, nanowire processing is moving... Read more >>
