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

Matthias Meier
co-PI

Michele Reticcioli
co-PI

Viktor Birschitzky
PhD Student

Marco Corrias
PhD Student

Florian Ellinger
PhD Student

Publications

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43 entries « 2 of 5 »

2021

First-principles hydration free energies of oxygenated species at water–platinum interfaces

Jinnouchi, Ryosuke; Karsai, Ferenc; Verdi, Carla; Kresse, Georg

First-principles hydration free energies of oxygenated species at water–platinum interfaces

Journal Article

In: The Journal of Chemical Physics, vol. 154, no. 9, pp. 094107, 2021.

Abstract | Links | BibTeX | Tags: P03, pre-TACO

Unraveling CO adsorption on model single-atom catalysts

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

Unraveling CO adsorption on model single-atom catalysts

Journal Article

In: Science, vol. 371, no. 6527, pp. 375–379, 2021.

Abstract | Links | BibTeX | Tags: P02, P04, P07, pre-TACO

How the anisotropy of surface oxide formation influences the transient activity of a surface reaction

Winkler, Philipp; Zeininger, Johannes; Suchorski, Yuri; Stöger-Pollach, Michael; Zeller, Patrick; Amati, Matteo; Gregoratti, Luca; Rupprechter, Günther

How the anisotropy of surface oxide formation influences the transient activity of a surface reaction

Journal ArticleOpen Access

In: Nature Communications, vol. 12, no. 1, 2021.

Abstract | Links | BibTeX | Tags: P08, pre-TACO

Sum frequency generation spectroscopy in heterogeneous model catalysis: a minireview of CO-related processes

Li, Xia; Rupprechter, Günther

Sum frequency generation spectroscopy in heterogeneous model catalysis: a minireview of CO-related processes

Journal ArticleOpen Access

In: Catalysis Science & Technology, vol. 11, no. 1, pp. 12–26, 2021.

Abstract | Links | BibTeX | Tags: P08, pre-TACO

2020

Interplay between CO Disproportionation and Oxidation: On the Origin of the CO Reaction Onset on Atomic Layer Deposition-Grown Pt/ZrO2 Model Catalysts

Pramhaas, Verena; Roiaz, Matteo; Bosio, Noemi; Corva, Manuel; Rameshan, Christoph; Vesselli, Erik; Grönbeck, Henrik; Rupprechter, Günther

Interplay between CO Disproportionation and Oxidation: On the Origin of the CO Reaction Onset on Atomic Layer Deposition-Grown Pt/ZrO2 Model Catalysts

Journal ArticleOpen Access

In: ACS Catalysis, vol. 11, no. 1, pp. 208–214, 2020.

Abstract | Links | BibTeX | Tags: P08, P10, pre-TACO

An ultrahigh vacuum-compatible reaction cell for model catalysis under atmospheric pressure flow conditions

Haunold, Thomas; Rameshan, Christoph; Bukhtiyarov, Andrey V; Rupprechter, Günther

An ultrahigh vacuum-compatible reaction cell for model catalysis under atmospheric pressure flow conditions

Journal ArticleOpen Access

In: Review of Scientific Instruments, vol. 91, no. 12, pp. 125101, 2020.

Abstract | Links | BibTeX | Tags: P08, P10, pre-TACO

High-throughput study of the static dielectric constant at high temperatures in oxide and fluoride cubic perovskites

van Roekeghem, Ambroise; Carrete, Jesús; Curtarolo, Stefano; Mingo, Natalio

High-throughput study of the static dielectric constant at high temperatures in oxide and fluoride cubic perovskites

Journal Article

In: Physical Review Materials, vol. 4, no. 11, pp. 113804, 2020.

Abstract | Links | BibTeX | Tags: P09, pre-TACO

IrO2 Surface Complexions Identified through Machine Learning and Surface Investigations

Timmermann, Jakob; Kraushofer, Florian; Resch, Nikolaus; Li, Peigang; Wang, Yu; Mao, Zhiqiang; Riva, Michele; Lee, Yonghyuk; Staacke, Carsten; Schmid, Michael; Scheurer, Christoph; Parkinson, Gareth S.; Diebold, Ulrike; Reuter, Karsten

IrO2 Surface Complexions Identified through Machine Learning and Surface Investigations

Journal Article

In: Physical Review Letters, vol. 125, no. 20, pp. 206101, 2020.

Abstract | Links | BibTeX | Tags: P02, P04, pre-TACO

Ab initio structure and thermodynamics of the RPBE-D3 water/vapor interface by neural-network molecular dynamics

Wohlfahrt, Oliver; Dellago, Christoph; Sega, Marcello

Ab initio structure and thermodynamics of the RPBE-D3 water/vapor interface by neural-network molecular dynamics

Journal ArticleOpen Access

In: The Journal of Chemical Physics, vol. 153, no. 14, pp. 144710, 2020.

Abstract | Links | BibTeX | Tags: P12, pre-TACO

Atomically resolved surface phases of La0.8Sr0.2MnO3(110) thin films

Franceschi, Giada; Schmid, Michael; Diebold, Ulrike; Riva, Michele

Atomically resolved surface phases of La0.8Sr0.2MnO3(110) thin films

Journal ArticleOpen Access

In: Journal of Materials Chemistry A, vol. 8, no. 43, pp. 22947–22961, 2020.

Abstract | Links | BibTeX | Tags: P02, pre-TACO

43 entries « 2 of 5 »