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References from Machine learning-driven DFT modeling of oxide perovskites as oxygen electrodes for solid oxide electrochemical cells. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2020 · External reference
Electrochemical behaviour of an all-perovskite-based intermediate temperature solid oxide fuel cell
10.1016/j.ijhydene.2013.08.122 · 2013 · External reference
Comparison of the electrochemical properties of intermediate temperature solid oxide fuel cells based on protonic and anionic electrolytes
10.1007/s10800-008-9668-2 · 2009 · External reference
Tuning perovskite oxides by strain: electronic structure, properties, and functions in (electro)catalysis and ferroelectricity
10.1016/j.mattod.2019.03.014 · 2019 · External reference
Chapter 1 - tuning perovskite–based oxides for effective electrodes in solid oxide electrochemical cells
2020 · External reference
High-entropy materials for solid oxide cells: synthesis, applications, and prospects
10.1016/j.jechem.2024.12.009 · 2025 · External reference
Design, synthesis and formation mechanism of a novel entropy-stabilized perovskite oxide derived from barium cerate/zirconate
10.1016/j.jeurceramsoc.2023.11.006 · 2024 · External reference
Innovative low-critical raw materials and medium-entropy perovskite for intermediate temperature solid oxide electrochemical cells
10.1016/j.ceramint.2023.10.146 · 2024 · External reference
Fe-based high-entropy perovskite oxide: a strategy to suppress Sr segregation and performance evaluation as an electrode material for SOFCs
10.1021/acsaem.4c01614 · 2024 · External reference
High-entropy perovskite cathode (LaSrBaNdSm)0.2Fe1-xCoxO3-δ: altering B-site cobalt for enhanced ORR activity and CO2 tolerance
10.1016/j.jallcom.2025.184768 · 2025 · External reference
An active high-entropy air electrode for enhanced reversible solid oxide cell performance and stability
2025 · External reference
Unresolved reference
External reference
High-throughput density-functional perturbation theory phonons for inorganic materials
10.1038/sdata.2018.65 · 2018 · External reference
Advances and challenges in high-performance cathodes for protonic solid oxide fuel cells and machine learning-guided perspectives
10.1016/j.nanoen.2024.109306 · 2024 · External reference
Machine-learning-driven feature importance analysis for guiding the protonic ceramic fuel cell manufacturing
10.1016/j.array.2025.100407 · 2025 · External reference
Effects of B-site doping and stoichiometry on strontium ferrate Sr0.85Ce0.15FexCoyO3 perovskites as electrocatalysts
10.1111/jace.20528 · 2025 · External reference
Design of multi-doped strontium ferrate perovskite-based electrocatalysts with medium-entropy and reduced content of critical elements
10.1016/j.cej.2025.165946 · 2025 · External reference
Sucrose-assisted solution combustion synthesis of doped strontium ferrate perovskite-type electrocatalysts: primary role of the secondary fuel
10.3390/catal10010134 · 2020 · External reference
Accelerated data-driven materials science with the materials project
10.1038/s41563-025-02272-0 · 2025 · External reference
AFLOW4: heading toward disorder
10.1007/s44210-025-00058-2 · 2025 · External reference
High-throughput DFT calculations of formation energy, stability and oxygen vacancy formation energy of ABO3 perovskites
10.1038/sdata.2017.153 · 2017 · External reference
Oxygen vacancy formation energy in metal oxides: High-throughput computational studies and machine-learning predictions
10.1021/acs.chemmater.3c02251 · 2023 · External reference
High-throughput computational screening of cubic perovskites for solid oxide fuel cell cathodes
10.1021/acs.jpclett.1c00827 · 2021 · External reference
Prediction of solid oxide fuel cell cathode activity with first-principles descriptors
10.1039/c1ee02032c · 2011 · External reference
Oxygen transport in perovskite-type solid oxide fuel cell materials: insights from quantum mechanics
10.1021/ar4003174 · 2014 · External reference
Unresolved reference
2021 · External reference
Thirteen ways to look at the correlation coefficient
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Comparative study of random forest, gradient boosted trees, feedforward neural networks and convolutional neural networks using fingerprints and molecular descriptors for adverse drug reaction prediction
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2016 · External reference
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10.1016/j.neunet.2014.09.003 · 2015 · External reference
Random search for hyper-parameter optimization
2012 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Explaining prediction models and individual predictions with feature contributions
10.1007/s10115-013-0679-x · 2014 · External reference
Projector augmented-wave method
10.1103/physrevb.50.17953 · 1994 · External reference
Quantum ESPRESSO: a modular and open-source software project for quantum simulations of materials
10.1088/0953-8984/21/39/395502 · 2009 · External reference
Advanced capabilities for materials modelling with Quantum ESPRESSO
10.1088/1361-648x/aa8f79 · 2017 · External reference
Precision and efficiency in solid-state pseudopotential calculations
10.1038/s41524-018-0127-2 · 2018 · External reference
Special points for Brillouin-zone integrations
10.1103/physrevb.13.5188 · 1976 · External reference
HP–A code for the calculation of Hubbard parameters using density-functional perturbation theory
10.1016/j.cpc.2022.108455 · 2022 · External reference
Theoretical insights, structural and electrochemical characteristics of Lanthanum doped Sr2FeMoO6–δ
10.1016/j.electacta.2025.146964 · 2025 · External reference
Study of the synergistic role of multivalence states of 3d cations on the crystal lattice distortion and magnetic behavior of Sr2FeCoO6-δ: a spectroscopic study
10.1016/j.jallcom.2023.171768 · 2023 · External reference
Hierarchical data modeling: a systematic comparison of statistical, tree-based, and neural network approaches
10.1016/j.mlwa.2025.100688 · 2025 · External reference
Oxygen vacancy diffusion in bulk SrTiO3 from density functional theory calculations
10.1016/j.commatsci.2016.02.041 · 2016 · External reference
