4 papers
Machine learned potential for defected single layer hexagonal boron nitride
John Janisch, Duy Le, Talat S. Rahman
Development of machine learned interatomic potentials (MLIP) is critical for performing reliable simulations of materials at length and time scales that are comparable to those in…
Unraveling spin entanglement using quantum gates with scanning tunneling microscopy-driven electron spin resonance
Eric D. Switzer, Jose Reina-Gálvez, Géza Giedke +4
Quantum entanglement is a fundamental resource for quantum information processing, and its controlled generation and detection remain key challenges in scalable quantum architectur…
Unveiling Coverage Dependent Interactions of N-Methylaniline with the Pt(111) Surface
Bushra Ashraf, Nils Brinkmann, Dave Austin +3
This study aims to elucidate the adsorption and surface chemistry of N-methylaniline (NMA) on Pt(111), using it as a model molecule to probe the activation mechanisms of aromatic a…
Realization of Two-dimensional Discrete Time Crystals with Anisotropic Heisenberg Coupling
Eric D. Switzer, Niall Robertson, Nathan Keenan +7
A discrete time crystal (DTC) is the paradigmatic example of a phase of matter that occurs exclusively in systems out of equilibrium. This phenomenon is characterized by the sponta…