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 « 3 of 5 »

2020

Energy-Guided Shape Control Towards Highly Active CeO2

Yang, Jingxia; Ding, Huihui; Wang, Jinjie; Yigit, Nevzat; Xu, Jingli; Rupprechter, Günther; Zhang, Min; Li, Zhiquan

Energy-Guided Shape Control Towards Highly Active CeO2

Journal Article

In: Topics in Catalysis, vol. 63, no. 19-20, pp. 1743–1753, 2020.

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

On-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations

Jinnouchi, Ryosuke; Miwa, Kazutoshi; Karsai, Ferenc; Kresse, Georg; Asahi, Ryoji

On-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations

Journal Article

In: The Journal of Physical Chemistry Letters, vol. 11, no. 17, pp. 6946–6955, 2020.

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

Electrochemical Stability of the Reconstructed Fe3O4(001) Surface

Grumelli, Doris; Wiegmann, Tim; Barja, Sara; Reikowski, Finn; Maroun, Fouad; Allongue, Philippe; Balajka, Jan; Parkinson, Gareth S.; Diebold, Ulrike; Kern, Klaus; Magnussen, Olaf M

Electrochemical Stability of the Reconstructed Fe3O4(001) Surface

Journal Article

In: Angewandte Chemie - International Edition, vol. 59, no. 49, pp. 21904–21908, 2020.

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

Catalysis by Imaging: From Meso- to Nano-scale

Suchorski, Yuri; Rupprechter, Günther

Catalysis by Imaging: From Meso- to Nano-scale

Journal ArticleOpen Access

In: Topics in Catalysis, vol. 63, no. 15-18, pp. 1532–1544, 2020.

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

Probing the Mineral–Water Interface with Nonlinear Optical Spectroscopy

Backus, Ellen H. G.; Schaefer, Jan; Bonn, Mischa

Probing the Mineral–Water Interface with Nonlinear Optical Spectroscopy

Journal ArticleOpen Access

In: Angewandte Chemie - International Edition, vol. 60, no. 19, pp. 10482–10501, 2020.

Abstract | Links | BibTeX | Tags: P11, pre-TACO

The Dynamic Structure of Au38(SR)24 Nanoclusters Supported on CeO2 upon Pretreatment and CO Oxidation

Pollitt, Stephan; Truttmann, Vera; Haunold, Thomas; Garcia, Clara; Olszewski, Wojciech; Llorca, Jordi; é, Noelia Barrab; Rupprechter, Günther

The Dynamic Structure of Au38(SR)24 Nanoclusters Supported on CeO2 upon Pretreatment and CO Oxidation

Journal ArticleOpen Access

In: ACS Catalysis, vol. 10, no. 11, pp. 6144–6148, 2020.

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

Surface Charges at the CaF2/Water Interface Allow Very Fast Intermolecular Vibrational-Energy Transfer

Lesnicki, Dominika; Zhang, Zhen; Bonn, Mischa; Sulpizi, Marialore; Backus, Ellen H. G.

Surface Charges at the CaF2/Water Interface Allow Very Fast Intermolecular Vibrational-Energy Transfer

Journal ArticleOpen Access

In: Angewandte Chemie - International Edition, vol. 59, no. 31, pp. 13116–13121, 2020.

Abstract | Links | BibTeX | Tags: P11, pre-TACO

Modifying the Surface Structure of Perovskite-Based Catalysts by Nanoparticle Exsolution

Lindenthal, Lorenz; Rameshan, Raffael; Summerer, Harald; Ruh, Thomas; Popovic, Janko; Nenning, Andreas; Löffler, Stefan; Opitz, Alexander Karl; Blaha, Peter; Rameshan, Christoph

Modifying the Surface Structure of Perovskite-Based Catalysts by Nanoparticle Exsolution

Journal ArticleOpen Access

In: Catalysts, vol. 10, no. 3, pp. 268, 2020.

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

2019

Phase stability of the ice XVII-based CO2 chiral hydrate from molecular dynamics simulations

Michl, Jakob; Sega, Marcello; Dellago, Christoph

Phase stability of the ice XVII-based CO2 chiral hydrate from molecular dynamics simulations

Journal ArticleOpen Access

In: The Journal of Chemical Physics, vol. 151, no. 10, pp. 104502, 2019.

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

Local Structure and Coordination Define Adsorption in a Model Ir1/Fe3O4 Single-Atom Catalyst

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

Local Structure and Coordination Define Adsorption in a Model Ir1/Fe3O4 Single-Atom Catalyst

Journal ArticleOpen Access

In: Angewandte Chemie - International Edition, vol. 58, no. 39, pp. 13961–13968, 2019.

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

43 entries « 3 of 5 »