24 citations · 39 across the 8 of their papers we have counts for
9 papers
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.…
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…
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…
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…
How semiconducting are ferroelectrics: The fundamental, optical and transport gaps of NaBiTiO-BaTiO and NaNbO
Pengcheng Hu, Nicole Bein, Chinmay Chandan Parhi +7
The energy gap is a fundamental property of materials, directly related to their optical and electronic properties. The energy gap of ferroelectric compounds and its adjustment by…
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…
A defect-chemistry-informed phase-field model of grain growth in oxide ceramics: application to Fe-doped SrTiO3
Kai Wang, Roger A. De Souza, Xiang-Long Peng +4
Dopants can significantly affect the properties of oxide ceramics through their impact on the property-determined microstructure characteristics such as grain boundary (GB) segrega…
Understanding phase transitions of -quartz under dynamic compression conditions by machine-learning driven atomistic simulations
Linus C. Erhard, Christoph Otzen, Jochen Rohrer +2
Characteristic shock effects in silica serve as a key indicator of historical impacts at geological sites. Despite this geological significance, atomistic details of structural tra…
Crystal structure identification with 3D convolutional neural networks with application to high-pressure phase transitions in SiO
Linus C. Erhard, Daniel Utt, Arne J. Klomp +1
Efficient, reliable and easy-to-use structure recognition of atomic environments is essential for the analysis of atomic scale computer simulations. In this work, we train two neur…