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Optimal decision-making in high-throughput virtual screening pipelines.
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Optimal high-throughput virtual screening pipeline for efficient selection of redox-active organic materials.
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Big Data in a Nano World: A Review on Computational, Data-Driven Design of Nanomaterials Structures, Properties, and Synthesis.
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High-Throughput Computational Screening for Bipolar Magnetic Semiconductors.
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Structure motif-centric learning framework for inorganic crystalline systems.
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Machine learned features from density of states for accurate adsorption energy prediction.
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本文引用的文献

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Efficiency limits for photoelectrochemical water-splitting.
Nat Commun. 2016 Dec 2;7:13706. doi: 10.1038/ncomms13706.
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Stability and self-passivation of copper vanadate photoanodes under chemical, electrochemical, and photoelectrochemical operation.
Phys Chem Chem Phys. 2016 Apr 14;18(14):9349-52. doi: 10.1039/c6cp00473c. Epub 2016 Mar 21.
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The high-throughput highway to computational materials design.
Nat Mater. 2013 Mar;12(3):191-201. doi: 10.1038/nmat3568.
8

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