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    We present a holistic machine-learning framework for rapid screening of bimetallic catalysts with the aid of the descriptor-based kinetic analysis. A catalyst database which contains the adsorption energies of CO and OH on 111 -terminated model alloy surfaces and fingerprint features of active sites from Journal of Materials Chemistry A Emerging Investigators

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  • A high-throughput screening and computation platform for

    A high-throughput screening and computation platform for identifying synthetic promoters with enhanced cell-state specificity (SPECS) Nat Commun . 2019 Jun 2810(1) 2880. doi 10.1038/s41467-019-10912-8.

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  • A high-throughput screening and computation platform for

    2019-6-28 · Our screening pipeline combines lentiviral library introduction FACS cell sorting next-generation sequencing and a machine-learning based computational analysis (Fig. 1).

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  • (PDF) Computational high-throughput screening of alloy

    Totally 7924 candidates of Cu-based alloy clusters of Cu55-nMn (M = Co Ni Ru and Rh) are optimized and evaluated to screening for the promising catalysts. DFT calculations and machine

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    Find Screen machine 4043TR SCALPER 107T 516T 612T 4043T JXT and SPYDER 516T and other crushers and screening plants for sale on Machinio.

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  • Machine learning-based high throughput screening for

    Production of ammonia via electrochemical nitrogen reduction reaction (NRR) has recently attracted much attention due to its potential to play a vital role in producing fertilizers and other chemicals. High throughput screening of electrocatalysts for the NRR requires numerous calculations in the search spac Editor s Choice Machine Learning for Materials Innovation

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