3 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
Energetically Driven Structure Matching for Autonomous Total X-ray Scattering Experiments
Emil J. P. Frost, Martin A. Karlsen, Jonas H. Jensen +6
The emergence of autonomous laboratories motivates rapid conversion of experimental data into reliable atomistic models on time-scales compatible with closed-loop optimization. Her…
Autonomous interpretation of atomistic scattering data
Andy S. Anker, John L. A. Gardner, Louise A. M. Rosset +2
Materials with bespoke properties have long been identified by computational searches, and their experimental realisation is now coming within reach through autonomous laboratories…
Machine-learning-driven modelling of amorphous and polycrystalline BaZrS
Laura-Bianca Paşca, Yuanbin Liu, Andy S. Anker +2
The chalcogenide perovskite material BaZrS is of growing interest for emerging thin-film photovoltaics. Here we show how machine-learning-driven modelling can be used to desc…
Autonomous nanoparticle synthesis by design
Andy S. Anker, Jonas H. Jensen, Miguel Gonzalez-Duque +9
Controlled synthesis of materials with specified atomic structures underpins technological advances yet remains reliant on iterative, trial-and-error approaches. Nanoparticles (NPs…