17 citations · 45 across the 5 of their papers we have counts for
5 papers
Bayesian Optimization for Practical H2 Sensors: Inverse Design of Pd-based Plasmonic Metasurfaces
Pernilla Ekborg-Tanner, Athanasios Theodoridis, Joachim Fritzsche +3
Hydrogen detection is becoming increasingly important as its use grows across energy and industrial systems. Optical sensing platforms based on palladium (Pd) nanoparticles are att…
Competing adsorption of H and CO on Pd-alloy surfaces: Mechanistic insight into the mitigating effect of Cu on CO poisoning
Pernilla Ekborg-Tanner, Paul Erhart
Multi-component alloys offer broad tunability for addressing challenges in materials science, but their vast configurational space makes their surface chemistry highly sensitive to…
Construction and sampling of alloy cluster expansions -- A tutorial
Pernilla Ekborg-Tanner, Petter Rosander, Erik Fransson +1
Crystalline alloys and related mixed systems make up a large family of materials with high tunability which have been proposed as the solution to a large number of energy related m…
Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning
Viktor Martvall, Henrik Klein Moberg, Athanasios Theodoridis +6
The ability to rapidly detect hydrogen gas upon occurrence of a leak is critical for the safe large-scale implementation of hydrogen (energy) technologies. However, to date, no tec…
Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen
Pernilla Ekborg-Tanner, J. Magnus Rahm, Victor Rosendal +4
Pd nanoalloys show great potential as hysteresis-free, reliable hydrogen sensors. Here, a multi-scale modeling approach is employed to determine optimal conditions for optical hydr…