activity
20222026
most citedMachine Learning for Exploring Small Polaron Configurational Space

20 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

Photoexcited Hole States at the SrTiO3(001) Surface Imaged with Noncontact AFM

Igor Sokolovic, Florian Ellinger, Aji Alexander +8

The behaviour of excess charges in ionic lattices, such as the formation of polarons and charge trapping at defect sites, influences the physical and chemical properties of materia…

cond-mat.mtrl-sci2024

Automated Workflow for Accurate High-Throughput GW Calculations

Lorenzo Varrassi, Florian Ellinger, Espen Flage-Larsen +4

The GW approximation represents the state-of-the-art ab-initio method for computing excited-state properties. Its execution requires control over a larger number of (often interdep…

cond-mat.mtrl-sci2023

Real-space investigation of polarons in hematite Fe2O3

Jesus Redondo, Michele Reticcioli, Vit Gabriel +17

In polarizable materials, electronic charge carriers interact with the surrounding ions, leading to quasiparticle behaviour. The resulting polarons play a central role in many mate…

cond-mat.mtrl-sci2022

Small Polaron Formation on the Nb-doped SrTiO(001) Surface

Florian Ellinger, Muhammad Shafiq, Iftikhar Ahmad +2

The cubic perovsike strontium titanate SrTiO (STO) is one of the most studied, polarizable transition metal oxides. When excess charge is introduced to this material, e.g., thr…

cond-mat.mtrl-sci2022★ 20 cited

Machine Learning for Exploring Small Polaron Configurational Space

Viktor C. Birschitzky, Florian Ellinger, Ulrike Diebold +2

Polaron defects are ubiquitous in materials and play an important role in many processes involving carrier mobility, charge transfer and surface reactivity. Determining the spatial…