Polaron pattern recognition
in correlated oxide surfaces

Subproject P07

The formation of polarons by charge trapping is pervasive in transition metal oxides. Polarons have been widely studied in binary compounds but comparatively much less so in perovskites.

In P07, we aim to combine advanced first-principles approaches with computer-vision and machine-learning techniques to accelerate and automatize the study of polarons and novel polaron effects in perovskites.
The project has three main pillars: (i) artificial intelligence-aided analysis of experimental ncAFM/STM results (from P02 Diebold, P04 Parkinson) to extract lattice symmetry, surface structure, and chemical composition; (ii) calculation of polaronic configurational energies at different concentrations and temperature using NN; and (iii) identification of unusual types of polarons and polaron-defect complexes in doped perovskites such as spin-, ferroelectric-, Jahn-Teller-, small polarons, and bipolarons.

In the long-term, we plan to establish a fully automatic diagnosis of ncAFM/STM (symmetry, defects, domains) and LEED (diffraction, surface reconstruction) and the construction of a combined experiment & theory database. The research will benefit from two external collaborators and synergy with several experimental (P02, P04) and computational (P03 Kresse, P09 Madsen) TACO partners.

Cesare Franchini
PI

Expertise

Theoretical and computational modeling of quantum materials, in particular transition metal oxides in bulk phases and surfaces, to predict and interpret novel physical effects and states of matter arising from fundamental quantum interactions: electron-electron correlation, electron-phonon coupling, spin-spin exchange, spin-orbit coupling, to name the most relevant ones. The theoretical research is conducted in strong synergy and cooperation with experimental groups.

Methods:

  • Density functional theory, hybrid functionals, GW, BSE
  • First principles molecular dynamics
  • Effective Hamiltonian
  • Diagrammatic quantum Monte Carlo
  • Dynamical mean-field theory
  • Machine learning and computer vision

Applications:

  • Polarons: formation, dynamics, polaron-mediated effects, many-body properties
  • Computational surface science: energetics, reconstructions, surface polarons, polarity effects, adsorption and chemical reactions
  • Quantum magnetism: all-rank multipolar spin-spin interactions beyond Heisenberg exchange
  • Electronic and magnetic phase transitions

Our goals in TACO:

  1. Accelerated study of polaron properties by integrating molecular dynamics and machine learning methods (kernel-ridge regression, standard and convolutional neural-networks
  2. Implementation of automated identification of local structures in atomically resolved images using computer vision methods
  3. Complementing the experimental measurements with extensive first principles modeling of perovskite surfaces.

Team

Cesare Franchini
PI

Michele Reticcioli
co-PI

Matthias Meier
PostDoc

Viktor Birschitzky
PhD Student

Marco Corrias
PhD Student

Florian Ellinger
PhD Student

Publications

15 entries « 1 of 2 »

2023

Oxygen-Terminated (1 × 1) Reconstruction of Reduced Magnetite Fe3O4(111)

Kraushofer, Florian; Meier, Matthias; Jakub, Zdeněk; Hütner, Johanna; Balajka, Jan; Hulva, Jan; Schmid, Michael; Franchini, Cesare; Diebold, Ulrike; Parkinson, Gareth S.

Oxygen-Terminated (1 × 1) Reconstruction of Reduced Magnetite Fe3O4(111)

Journal ArticleOpen Access

In: vol. 14, no. 13, pp. 3258–3265, 2023.

Abstract | Links | BibTeX | Tags: P02, P04, P07

Quantum paraelectricity and structural phase transitions in strontium titanate beyond density functional theory

Verdi, Carla; Ranalli, Luigi; Franchini, Cesare; Kresse, Georg

Quantum paraelectricity and structural phase transitions in strontium titanate beyond density functional theory

Journal Article

In: Physical Review Materials, vol. 7, no. 3, pp. l030801, 2023.

Abstract | Links | BibTeX | Tags: P03, P07

Temperature-dependent anharmonic phonons in quantum paraelectric KTaO3 by first principles and machine-learned force fields

Ranalli, Luigi; Verdi, Carla; Monacelli, Lorenzo; Kresse, Georg; Calandra, Matteo; Franchini, Cesare

Temperature-dependent anharmonic phonons in quantum paraelectric KTaO3 by first principles and machine-learned force fields

Journal ArticleOpen Access

In: Advanced Quantum Technology, vol. 6, iss. 4, 2023.

Abstract | Links | BibTeX | Tags: P03, P07

Automated Real-Space Lattice Extraction for Atomic Force Microscopy Images

Corrias, Marco; Papa, Lorenzo; Sokolovíc, Igor; Birschitzky, Viktor; Gorfer, Alexander; Setvin, Martin; Schmid, Michael; Diebold, Ulrike; Reticcioli, Michele; Franchini, Cesare

Automated Real-Space Lattice Extraction for Atomic Force Microscopy Images

Journal ArticleOpen Access

In: Machine Learning: Science and Technology, vol. 4, pp. 015015, 2023.

Abstract | Links | BibTeX | Tags: P02, P07

2022

Surface chemistry on a polarizable surface: Coupling of CO with KTaO 3(001)

Wang, Zhichang; Reticcioli, Michele; Jakub, Zdenek; Sokolović, Igor; Meier, Matthias; Boatner, Lynn A; Schmid, Michael; Parkinson, Gareth S.; Diebold, Ulrike; Franchini, Cesare; Setvin, Martin

Surface chemistry on a polarizable surface: Coupling of CO with KTaO 3(001)

Journal ArticleOpen Access

In: Science Advances, vol. 8, iss. 33, 2022.

Abstract | Links | BibTeX | Tags: P02, P04, P07

Competing electronic states emerging on polar surfaces

Reticcioli, Michele; Wang, Zhichang; Schmid, Michael; Wrana, Dominik; Boatner, Lynn A.; Diebold, Ulrike; Setvin, Martin; Franchini, Cesare

Competing electronic states emerging on polar surfaces

Journal ArticleOpen Access

In: Nature Communications, vol. 13, no. 4311, 2022.

Abstract | Links | BibTeX | Tags: P02, P07

Role of Polarons in Single-Atom Catalysts: Case Study of Me1[Au1,Pt1 and Rh1] on TiO2(110)

Sombut, Panukorn; Puntscher, Lena; Atzmüller, Marlene; Jakub, Zdenek; Reticcioli, Michele; Meier, Matthias; Parkinson, Gareth S.; Franchini, Cesare

Role of Polarons in Single-Atom Catalysts: Case Study of Me1[Au1,Pt1 and Rh1] on TiO2(110)

Journal ArticleOpen Access

In: Topics in Catalysis, vol. 65, pp. 1620–1630, 2022.

Abstract | Links | BibTeX | Tags: P04, P07

Machine learning for exploring small polaron configurational space

Birschitzky, Viktor C; Ellinger, Florian; Diebold, Ulrike; Reticcioli, Michele; Franchini, Cesare

Machine learning for exploring small polaron configurational space

Journal ArticleOpen Access

In: npj Computational Materials, vol. 8, no. 125, 2022.

Abstract | Links | BibTeX | Tags: P02, P07

CO oxidation by Pt2/Fe3O4: Metastable dimer and support configurations facilitate lattice oxygen extraction

Meier, Matthias; Hulva, Jan; Jakub, Zdenek; Kraushofer, Florian; Bobić, Mislav; Bliem, Roland; Setvin, Martin; Schmid, Michael; Diebold, Ulrike; Franchini, Cesare; Parkinson, Gareth S.

CO oxidation by Pt2/Fe3O4: Metastable dimer and support configurations facilitate lattice oxygen extraction

Journal ArticleOpen Access

In: ScienceAdvances, vol. 8, iss. 13, pp. eabn4580, 2022.

Abstract | Links | BibTeX | Tags: P02, P04, P07

Modeling polarons in density functional theory: lessons learned from TiO2

Reticcioli, Michele; Diebold, Ulrike; Franchini, Cesare

Modeling polarons in density functional theory: lessons learned from TiO2

Journal ArticleOpen Access

In: Journal of Physics: Condensed Matter, vol. 34, no. 20, pp. 204006, 2022.

Abstract | Links | BibTeX | Tags: P02, P07

15 entries « 1 of 2 »