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Работы, на которые ссылается эта работа
Работ: 54
Работа: Estimation of lithium adsorption in brine via robust machine learning algorithms
Fast Monte Carlo reliability evaluation using support vector machine
Claudio M. Rocco, José Alı́ Moreno
Статья2002Цитирований: 7ABIIntelligent interpolation by Monte Carlo machine learning
Yongna Jia, Siwei Yu, Jianwei Ma
Статья2017Цитирований: 6ABIRecovery of Lithium from Geothermal Brine with Lithium–Aluminum Layered Double Hydroxide Chloride Sorbents
M. Paranthaman, Ling Li, Jiaqi Luo +4
Статья2017Цитирований: 5ABILithium recovery using electrochemical technologies: Advances and challenges
Wu Lei, Changyong Zhang, Seoni Kim +3
Обзорная статья2022Цитирований: 3ABILithium Recovery from Oil and Gas Produced Water: A Need for a Growing Energy Industry
Amit Kumar, Hiroki Fukuda, T. Alan Hatton +1
Статья2019Цитирований: 2ABILithium recovery from lepidolite roasted with potassium compounds
Hui Su, Jiaying Ju, Jian Zhang +5
Статья2019Цитирований: 2ABIAl and F ions co-modified Li1.6Mn1.6O4 with obviously enhanced Li+ adsorption performances
Guotai Zhang, Chunxi Hai, Yuan Zhou +6
Статья2022Цитирований: 2ABILithium recovery from desalination brines using specific ion-exchange resins
Fátima Arroyo, José Morillo, José Usero +2
Статья2019Цитирований: 2ABIUnderstanding the Electrochemical Extraction of Lithium from Ultradilute Solutions
Kaige Sun, Mike Tebyetekerwa, Xiangkang Zeng +3
Статья2024Цитирований: 2ABIMachine learning framework for predicting the low cycle fatigue life of lead-free solders
Xu Long, Changheng Lu, Yutai Su +1
Статья2023Цитирований: 2ABI