From the 1 of 7 linked papers with an AI index.
7 papers
Physics-constrained machine learning for decoding multi-nanobubble configurations in graphene
Jihye Kim, Taegeun Song, Nojoon Myoung
Identifying multiple graphene nanobubbles from electronic spectra is challenging because their strain-induced features overlap. We develop a physics-constrained machine-learning fr…
Strain-Induced Detuning of a Dressed Nitrogen-Vacancy Qubit: Effective Two-Level Theory and Its Validity
Jihyeon Jeon, Donghun Lee, Seok-Kyun Son +1
The paper derives an analytical two‑level model for a microwave‑dressed nitrogen‑vacancy (NV) qubit in diamond that includes the effects of transverse crystal strain, and provides…
Electrically tunable spin qubits in strain-engineered graphene p-n junctions
Myung-Chul Jung, Nojoon Myoung
Strain engineering enables quantum confinement in pristine graphene without degrading its intrinsic mobility and spin coherence. Here, we extend previously proposed strain-induced…
Radio-Frequency Detection of Fabry-Pérot Interference and Quantum Capacitance in Long-Channel Three-Dimensional Dirac Semimetal Cd3As2 Nanowires
Sung Jin An, Jisu Kim, Myung-Chul Jung +10
We demonstrate phase-coherent transport in suspended long-channel Cd3As2 nanowire devices using both direct current (DC) transport and radio-frequency (RF) reflectometry measuremen…
Asymmetric-gate Mach--Zehnder interferometry in graphene: Multi-path conductance oscillations and visibility characteristics
Taegeun Song, Nojoon Myoung
Graphene provides an excellent platform for investigating electron quantum interference due to its outstanding coherent properties. In the quantum Hall regime, Mach--Zehnder (MZ) e…
Quantum-Hall Spectroscopy of Elliptically Deformed Graphene Nanobubble Qubits
Myung-Chul Jung, Nojoon Myoung
With recent advances in strain-engineering technology of graphene and 2D materials, graphene quantum dots (QDs) defined by the strain-induced pseudo-magnetic fields (PMFs) have bee…