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

23 entries « 1 of 3 »

2024

Quantitative Measurement of Cooperative Binding in Partially Dissociated Water Dimers at the Hematite “R-Cut” Surface

Ryan, Paul T. P.; Sombut, Panukorn; Rafsanjani-Abbasi, Ali; Wang, Chunlei; Eratam, Fulden; Goto, Francesco; Diebold, Ulrike; Meier, Matthias; Duncan, David A.; Parkinson, Gareth S.

Quantitative Measurement of Cooperative Binding in Partially Dissociated Water Dimers at the Hematite “R-Cut” Surface

Journal ArticleOpen AccessAccepted Article

In: The Journal of Physical Chemistry C, 2024.

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

Real-space investigation of polarons in hematite Fe2O3

Redondo, Jesus; Reticcioli, Michele; Gabriel, Vit; Wrana, Dominik; Ellinger, Florian; Riva, Michele; Franceschi, Giada; Rheinfrank, Erik; Sokolovic, Igor; Jakub, Zdenek; Kraushofer, Florian; Alexander, Aji; Patera, Laerte L.; Repp, Jascha; Schmid, Michael; Diebold, Ulrike; Parkinson, Gareth S.; Franchini, Cesare; Kocan, Pavel; Setvin, Martin

Real-space investigation of polarons in hematite Fe2O3

Journal ArticleAccepted ArticlearXiv

In: Science Advances, 2024.

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

Machine Learning Small Polaron Dynamics

Birschitzky, Viktor C.; Leoni, Luca; Reticcioli, Michele; Franchini, Cesare

Machine Learning Small Polaron Dynamics

Journal ArticleOpen AccessSubmittedarXiv

In: arXiv, 2024.

Abstract | Links | BibTeX | Tags: P07

Digging Its Own Site: Linear Coordination Stabilizes a Pt1/Fe2O3 Single-Atom Catalyst

Rafsanjani-Abbasi, Ali; Buchner, Florian; Lewis, Faith J.; Puntscher, Lena; Kraushofer, Florian; Sombut, Panukorn; Eder, Moritz; Pavelec, Jiří; Rheinfrank, Erik; Franceschi, Giada; Birschitzky, Viktor; Riva, Michele; Franchini, Cesare; Schmid, Michael; Diebold, Ulrike; Meier, Matthias; Madsen, Georg K. H.; Parkinson, Gareth S.

Digging Its Own Site: Linear Coordination Stabilizes a Pt1/Fe2O3 Single-Atom Catalyst

Journal ArticleOpen AccessAccepted Article

In: ACS Nano, 2024.

Abstract | Links | BibTeX | Tags: P02, P04, P07, P09

A Multitechnique Study of C2H4 Adsorption on a Model Single-Atom Rh1 Catalyst

Wang, Chunlei; Sombut, Panukorn; Puntscher, Lena; Ulreich, Manuel; Pavelec, Jiri; Rath, David; Balajka, Jan; Meier, Matthias; Schmid, Michael; Diebold, Ulrike; Franchini, Cesare; Parkinson, Gareth S.

A Multitechnique Study of C2H4 Adsorption on a Model Single-Atom Rh1 Catalyst

Journal ArticleOpen Access

In: The Journal of Physical Chemistry C, vol. 128, iss. 37, pp. 15404–15411, 2024.

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

Evidence of Molecular Hydrogen in the N-doped LuH3 System: a Possible Path to Superconductivity?

Tresca, Cesare; Forcella, Pietro Maria; Angeletti, Andrea; Ranalli, Luigi; Franchini, Cesare; Reticcioli, Michele; Profeta, Gianni

Evidence of Molecular Hydrogen in the N-doped LuH3 System: a Possible Path to Superconductivity?

Journal ArticleOpen Access

In: Nature Communications, vol. 15, pp. 7283, 2024.

Abstract | Links | BibTeX | Tags: P07

Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential

Romano, Salvatore; de Hijes, Pablo Montero; Meier, Matthias; Kresse, Georg; Franchini, Cesare; Dellago, Christoph

Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential

Journal ArticleOpen AccessarXiv

In: arXiv, 2024.

Abstract | Links | BibTeX | Tags: P03, P07, P12

Global sampling of Feynman's diagrams through normalizing flow

Leoni, Luca; Franchini, Cesare

Global sampling of Feynman's diagrams through normalizing flow

Journal ArticleOpen Access

In: Physical Review Research, vol. 6, iss. 3, pp. 033041, 2024.

Abstract | Links | BibTeX | Tags: P07

Machine learning-based prediction of polaron-vacancy patterns on the TiO2(110) surface

Birschitzky, Viktor; Sokolovic, Igor; Prezzi, Michael; Palotas, Krisztian; Setvin, Martin; Diebold, Ulrike; Reticcioli, Michele; Franchini, Cesare

Machine learning-based prediction of polaron-vacancy patterns on the TiO2(110) surface

Journal ArticleOpen Access

In: npj Computational Materials, vol. 10, no. 89, 2024.

Abstract | Links | BibTeX | Tags: P02, P07

Spin-orbital Jahn-Teller bipolarons

Celiberti, Lorenzo; Mosca, Dario Fiore; Allodi, Giuseppe; Pourovskii, Leonid V.; Tassetti, Anna; Forino, Paola Caterina; Cong, Rong; Garcia, Erick; Tran, Phuong M.; Renzi, Roberto De; Woodward, Patrick M.; Mitrović, Vesna F.; Sanna, Samuele; Franchini, Cesare

Spin-orbital Jahn-Teller bipolarons

Journal ArticleOpen Access

In: Nature Communications, vol. 15, no. 2429, 2024.

Abstract | Links | BibTeX | Tags: P07

23 entries « 1 of 3 »