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    title = "Analyzing machine learning models to accelerate generation of fundamental materials insights",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20190125-105921884,
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20190102-092234188,
    title = "Nanoporous Gold as a Highly Selective and Active Carbon Dioxide Reduction Catalyst",
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    title = "Robust and synthesizable photocatalysts for CO₂ reduction: a data-driven materials discovery",
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    title = "Multi-modal optimization of bismuth vanadate photoanodes via combinatorial alloying and hydrogen processing",
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@article{https://resolver.caltech.edu/CaltechAUTHORS:20181217-081303242,
    title = "Gas-Diffusion Electrodes for Carbon-Dioxide Reduction: A New Paradigm",
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    title = "Enhancing the activity of oxygen-evolution and chlorine-evolution electrocatalysts by atomic layer deposition of TiO₂",
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    title = "Identification of the Selective Sites for Electrochemical Reduction of CO to C\_(2+) Products on Copper Nanoparticles by Combining Reactive Force Fields, Density Functional Theory, and Machine Learning",
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    title = "Electron-Phonon Scattering in the Presence of Soft Modes and Electron Mobility in SrTiO\_3 Perovskite from First Principles",
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    title = "Potential-Dependent Adsorption of CO and Its Low-Overpotential Reduction to CH\_3CH\_2OH on Cu(511) Surface Reconstructed from Cu(pc): Operando Studies by Seriatim STM-EQCN-DEMS",
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