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54 та иш

Иш: Estimation of lithium adsorption in brine via robust machine learning algorithms

  1. Fast Monte Carlo reliability evaluation using support vector machine

    Claudio M. Rocco, José Alı́ Moreno

    Мақола20027 иқтибос
    ABI
  2. Intelligent interpolation by Monte Carlo machine learning

    Yongna Jia, Siwei Yu, Jianwei Ma

    Мақола20176 иқтибос
    ABI
  3. Support vector regression

    Fan Zhang, Lauren J. O’Donnell

    Боб20195 иқтибос
    ABI
  4. Lithium recovery using electrochemical technologies: Advances and challenges

    Wu Lei, Changyong Zhang, Seoni Kim +3

    Шарҳ мақола20223 иқтибос
    ABI
  5. Lithium Recovery from Oil and Gas Produced Water: A Need for a Growing Energy Industry

    Amit Kumar, Hiroki Fukuda, T. Alan Hatton +1

    Мақола20192 иқтибос
    ABI
  6. Lithium recovery from lepidolite roasted with potassium compounds

    Hui Su, Jiaying Ju, Jian Zhang +5

    Мақола20192 иқтибос
    ABI
  7. Al and F ions co-modified Li1.6Mn1.6O4 with obviously enhanced Li+ adsorption performances

    Guotai Zhang, Chunxi Hai, Yuan Zhou +6

    Мақола20222 иқтибос
    ABI
  8. Lithium recovery from desalination brines using specific ion-exchange resins

    Fátima Arroyo, José Morillo, José Usero +2

    Мақола20192 иқтибос
    ABI
  9. Understanding the Electrochemical Extraction of Lithium from Ultradilute Solutions

    Kaige Sun, Mike Tebyetekerwa, Xiangkang Zeng +3

    Мақола20242 иқтибос
    ABI
  10. Machine learning framework for predicting the low cycle fatigue life of lead-free solders

    Xu Long, Changheng Lu, Yutai Su +1

    Мақола20232 иқтибос
    ABI
  11. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI
  13. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI