collaborators

6 papers

cond-mat.mtrl-sci2026

Fermi-Level-Dependent Defect Chemistry and Oxygen Evolution Reaction Activity of Fe-Doped and Oxygen-Deficient \ce{SrTiO3}(001)

Amit Sehrawat, Jochen Rohrer

The oxygen evolution reaction (OER) on perovskite oxides is controlled by the interplay of dopant chemistry, defect charge states, and surface segregation, yet these factors are ra…

cond-mat.mtrl-sci2026

Electron Polaron at Neutral 180 Domain Wall in PbTiO: Stability, Trapping Energies, and Transverse Polarization

Mohammad Amirabbasi, Jochen Rohrer, Karsten Albe

We use density-functional theory with a Hubbard correction to investigate Ti-centered electron polarons at neutral PbO-centered domain walls in tetragonal PbTiO.…

cond-mat.mtrl-sci2026

Why hole polaron formation on oxygen is limiting the Fermi level in Fe acceptor doped BaTiO under oxidizing conditions

Mohammad Amirabbasi, Emre Erdem, Denis Sudarikov +3

Oxidizing Fe-doped BaTiO is commonly expected to convert substitutional Fe acceptors into formal Fe centers. Yet, the experimentally accessible picture based on e…

cond-mat.mtrl-sci2026

First-principles investigation of small polarons in rhombohedral NaNbO

Mohammad Amirabbasi, Lorenzo Villa, Elaheh Ghorbani +2

Sodium niobate (NaNbO) is a perovskite oxide and a key component of emerging lead-free antiferroelectric capacitors for high-energy-density applications. However, its perform…

cond-mat.mtrl-sci2026

Chemo-mechanical coupling stabilizes mixed solar-cell absorbers: Insights from Monte-Carlo simulations assisted by ab initio informed machine-learning potentials

Vasilios Karanikolas, Delwin Perera, Linus Erhard +2

Alloying Ag into Cu(In,Ga)Se has enabled record solar-cell efficiencies (), yet their long-term stability remains in question because initio calculations predict a…

cond-mat.mtrl-sci2025

Machine-learning interatomic potentials from a users perspective: A comparison of accuracy, speed and data efficiency

Niklas Leimeroth, Linus C. Erhard, Karsten Albe +1

Machine learning interatomic potentials (MLIPs) have massively changed the field of atomistic modeling. They enable the accuracy of density functional theory in large-scale simulat…