BetaCitation Atlas

RESEARCH PAPER · Chemometrics and Intelligent Laboratory Systems · 2019

Data mining assisted prediction of liquidus temperature for primary crystallization of different electrolyte systems

Read original paper ↗

See where this research leads.

4 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Data mining assisted prediction of liquidus temperature for primary crystallization of different electrolyte systemsOriginalFault diagnosis of a semi-batch crystallization process through deep learning method18Effect of Y2O3 and ZnO co-doping on the densification and properties of magnesium aluminum spinel14Study on the Structure and Transport Properties of Molten Salts of NaF–KF–AlF3 Electrolytes by First-Principles Molecular Dynamics Simulation2Comparison of machine-learning models in predicting the liquidus temperature of aluminum cryolitic bath0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Browse Matching Papers

Papers that cite this work

4 direct citing papers saved.

  1. Fault diagnosis of a semi-batch crystallization process through deep learning method

    Computers & Chemical Engineering · 2022-04-16

    Pandeng Guo, Silin Rao, Hao Lin, Jingtao Wang

    Read original paper ↗ ·
  2. Effect of Y2O3 and ZnO co-doping on the densification and properties of magnesium aluminum spinel

    Ceramics International · 2023-07-13

    Meng Xiu, Changyu Hu, Jianhua Liu, Qianxu Ye

    Read original paper ↗ ·
  3. Study on the Structure and Transport Properties of Molten Salts of NaF–KF–AlF3 Electrolytes by First-Principles Molecular Dynamics Simulation

    Russian Journal of Inorganic Chemistry · 2024-02-01

    Qibo Liu, Laixin Zhang, Hengwei Yan, Zhanwei Liu, Xiumin Chen

    Read original paper ↗ ·
  4. Comparison of machine-learning models in predicting the liquidus temperature of aluminum cryolitic bath

    Materials Chemistry and Physics · 2025-04-09

    Konstantinos Betsis, Nikolaos E. Karkalos, Anthimos Xenidis

    Read original paper ↗ ·