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  1. 1. März 2024 · A novel machine learning-based approach called deep mechanism reduction (DeePMR) has been developed to address this issue. The current method transforms mechanism reduction into an optimization problem in the combinatorial space of chemical species while mitigating the curse of dimensionality inherent in the high-dimensional space ...

  2. 1. Dez. 2023 · Here, we studied the deep reduction-hydrogen production characteristics. Specifically, the effects of temperature, papermaking sludge (PMS) blended ratio, and reaction time on the deep reduction characteristics of Fe in pickling sludge and presintered waste were studied.

  3. 1. Dez. 2021 · Here, a copper–carbon-based catalyst with a hydrophobic core–shell architecture has been constructed and was found to exhibit excellent DRPs of methane generation with a faradaic efficiency of 81 ± 3% in a neutral medium and a maximum partial current density of −434 mA cm −2 in a flow cell configuration, which is among the best of CO 2 -to-CH 4 ...

    • Xin Yu Zhang, Wen Jing Li, Xue Feng Wu, Yuan Wei Liu, Jiacheng Chen, Minhui Zhu, Hai Yang Yuan, Shen...
    • 2022
  4. 4. Dez. 2018 · 12 Citations. Explore all metrics. Abstract. There are technical bottlenecks in the preparation of metallic titanium powder by conventional thermal reduction of TiO 2 with calcium, magnesium, or other metals, such as low efficiency and incomplete deoxidation.

    • Shi-gang Fan, Shi-gang Fan, Zhi-he Dou, Zhi-he Dou, Ting-an Zhang, Ting-an Zhang, Yan Liu, Yan Liu, ...
    • 2019
  5. Entdecken Sie alle die Schallplatten des Künstlers Deep Reduction zu Verkauf auf CDandLP im Format Vinyl, CD, Maxi, Single

  6. 12. Apr. 2021 · A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs. Open access. Published: 12 April 2021. Volume 87, article number 61, ( 2021 ) Cite this article. Download PDF. You have full access to this open access article. Stefania Fresca, Luca Dede’ & Andrea Manzoni. 9908 Accesses.