80 citations · 188 across the 9 of their papers we have counts for
9 papers
Digital Signal Processing Using Deep Neural Networks
Brian Shevitski, Yijing Watkins, Nicole Man +1
Currently there is great interest in the utility of deep neural networks (DNNs) for the physical layer of radio frequency (RF) communications. In this manuscript, we describe a cus…
Tuning color centers at a twisted interface
Cong Su, Fang Zhang, Salman Kahn +15
Color center is a promising platform for quantum technologies, but their application is hindered by the typically random defect distribution and complex mesoscopic environment. Emp…
Electron Beam-Induced Nanopores in Bernal-Stacked Hexagonal Boron Nitride
Mehmet Dogan, S. Matt Gilbert, Thang Pham +5
Controlling the size and shape of nanopores in two-dimensional materials is a key challenge in applications such as DNA sequencing, sieving, and quantum emission in artificial atom…
Characterizing Transition-Metal Dichalcogenide Thin-Films using Hyperspectral Imaging and Machine Learning
Brian Shevitski, Christopher T. Chen, Christoph Kastl +4
Atomically thin polycrystalline transition-metal dichalcogenides (TMDs) are relevant to both fundamental science investigation and applications. TMD thin-films present uniquely dif…
Emergence of Topologically Non-trivial Spin-polarized States in a Segmented Linear Chain
Thang Pham, Sehoon Oh, Scott Stonemeyer +6
The synthesis of new materials with novel or useful properties is one of the most important drivers in the fields of condensed matter physics and materials science. Discoveries of…
Tunable Electronic Structure in Gallium Chalcogenide van der Waals Compounds
Brian Shevitski, Søren Ulstrup, Roland J. Koch +8
Transition metal monochalcogenides comprise a class of two-dimensional materials with electronic band gaps that are highly sensitive to material thickness and chemical composition.…