output
20022026
most citedObservation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

10.9k citations

Showing 2022 · cond-mat.mes-hallShow all

15 papers · 2 filters

cond-mat.mes-hall2022★ 18 cited

Spin dynamics in quantum dots on liquid helium

M. I. Dykman, Ofek Asban, Qianfan Chen +2

Liquid He-4 is free from magnetic defects, making it an ideal substrate for electrons with long-lived spin states. Such states can serve as qubit states. Here we consider the spin…

cond-mat.mes-hall2022★ 16 cited

Excitonic Spin-Coherence Lifetimes in CdSe Nanoplatelets Increase Significantly with Core/Shell Morphology

Phillip I. Martin, Shobhana Panuganti, Joshua C. Portner +4

We report spin-polarized transient absorption for colloidal CdSe nanoplatelets as functions of thickness (2 to 6 monolayer thickness) and core/shell motif. Using electro-optical mo…

cond-mat.mes-hall2022★ 2 cited

Spin and electronic excitations in atomic chains on Au(111) substrates

David W. Facemyer, Naveen K. Dandu, Alex Taekyung Lee +3

High spin systems, like those that incorporate rare-earth elements (REEs), are increasingly relevant in many fields. Although research in such systems is sparse, the large Hil…

cond-mat.mes-hall2022★ 7 cited

Strain-induced superfluid transition for atoms on graphene

Sang Wook Kim, Mohamed Elsayed, Nathan S. Nichols +5

Bosonic atoms deposited on atomically thin substrates represent a playground for exotic quantum many-body physics due to the highly-tunable, atomic-scale nature of the interaction…

cond-mat.mes-hall2022★ 49 cited

Nonlinear nanomechanical resonators approaching the quantum ground state

C. Samanta, S. L. De Bonis, C. B. Møller +9

An open question in mechanics is whether mechanical resonators can be made nonlinear with vibrations approaching the quantum ground state. This requires engineering a mechanical no…

cond-mat.mes-hall2022★ 8 cited

Efficient Solutions of Fermionic Systems using Artificial Neural Networks

Even M. Nordhagen, Jane M. Kim, Bryce Fore +2

We discuss differences and similarities between variational Monte Carlo approaches that use conventional and artificial neural network parameterizations of the ground-state wave fu…