10 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
QUBO-Compatible Active Learning for Inverse Design of High-Entropy Alloys
Giorgio Silvi, Kirsten Bark, Rolando Reiner +5
Machine-learned forward models can rapidly predict alloy properties, but their use for inverse design remains challenging when the search should also retain compatibility with quad…
Data-driven multi-objective optimization for alloy recycling using factorization machines and quantum annealing
Thomas Plehn, Katrin Bugelnig, Silvana Tumminello +2
Quantum annealing has the potential to provide practical quantum advantage for complex optimization tasks. Here, we present a systematic assessment of an integrated factorization-m…
Assessing the potential of perfect screw dislocations in SiC for solid-state quantum technologies
Daniel Barragan-Yani, Ludger Wirtz
Although point defects in solids are one of the most promising physical systems to build functioning qubits, it remains challenging to position them in a deterministic array and to…
Native defects in monolayer GaS and GaSe: electrical properties and thermodynamic stability
Daniel Barragan-Yani, Jonathan M. Polfus, Ludger Wirtz
Structural, electronic and thermodynamic properties of native defects in GaS and GaSe monolayers are investigated by means of accurate ab-initio calculations. Based on their charge…