BetaCitation Atlas

RESEARCH PAPER · ACS Sustainable Chemistry & Engineering · 2024

Advancing Rare-Earth (4 f ) and Actinide (5 f ) Separation through Machine Learning and Automated High-Throughput Experiments

Read original paper ↗

See where this research leads.

10 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

Advancing Rare-Earth (4 f ) and Actinide (5 f ) Separation through Machine Learning and Automated High-Throughput ExperimentsOriginalData-Driven Kinetic Reaction Networks for Separation Chemistry4Predicting rare earth extraction efficiency with organophosphorus ligands: A data-driven machine learning approach10Creation of the Separation Archive for Elements (SAFE) Database4Design biology and mind–body health3Coordination-informed machine learning enables virtual screening of phenanthroline ligands by predicting Am/Eu binding preferences1Augmenting Large Language Models for Automated Discovery of F-Element Extractants8Machine-learning-assisted performance prediction and elucidation of governing factors in rare-earth solvent extraction systems1Progress in pulsed extraction column for spent nuclear fuel reprocessing0Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior0Coupling High-Throughput Density Functional Theory, Automated Experimentation, and Adaptive Experimental Design To Achieve Selective Rare-Earth Element Separations0

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

10 direct citing papers saved.

  1. Data-Driven Kinetic Reaction Networks for Separation Chemistry

    Journal of Chemical Theory and Computation · 2025-05-13

    Jiyoung Lee, Logan J. Augustine, Graeme Henkelman, Ping Xiong Yang, Danny Pérez

    Read original paper ↗ ·
  2. Predicting rare earth extraction efficiency with organophosphorus ligands: A data-driven machine learning approach

    Journal of Rare Earths · 2025-09-10

    Qihan Zhang, Haitao Wang, Ziyi Liu, Zhao‐Min Hao, Wuping Liao

    Read original paper ↗ ·
  3. Creation of the Separation Archive for Elements (SAFE) Database

    Solvent Extraction and Ion Exchange · 2025-09-29

    Leonardo S. G. Leite, B. Y. Zhang, Zafer Acar, Jackson Elowitt, Logan J. Augustine, Aurora E. Clark, Victor Karamalis, Danny Pérez, Joshua Schrier, Michael G. Taylor, Ping Xiong Yang

    Read original paper ↗ ·
  4. Design biology and mind–body health

    Journal of Genetic Engineering and Biotechnology · 2025-11-29

    Katsuyoshi Kumagai, Ayumi Chiba, Hiroaki Yajima

    Read original paper ↗ ·
  5. Coordination-informed machine learning enables virtual screening of phenanthroline ligands by predicting Am/Eu binding preferences

    Chemical Communications · 2026-01-01

    Zhiyuan Zhang, Dongsheng Yang, Yulong Que, Yihuang Wu, Chong Liu

    Read original paper ↗ ·
  6. Augmenting Large Language Models for Automated Discovery of F-Element Extractants

    Journal of the American Chemical Society · 2026-01-28

    B. Y. Zhang, Thomas J. Summers, Logan J. Augustine, Michael G. Taylor, Andreas Geist, Rujun Li, Enrique R. Batista, Danny Pérez, Ping Xiong Yang, Joshua Schrier

    Read original paper ↗ ·
  7. Machine-learning-assisted performance prediction and elucidation of governing factors in rare-earth solvent extraction systems

    Separation and Purification Technology · 2026-04-24

    Anyu Liu, Xin Ding, Yang Yuan, Chao Fang, Zongguo Wang, Geng Li, Yangang Wang, Tao Qi, Guoping Hu

    Read original paper ↗ ·
  8. Progress in pulsed extraction column for spent nuclear fuel reprocessing

    Energy · 2026-06-09

    Xiucheng Yu, Zonghui Lu, Qi Liu, Zilong Song, Ting Yu, Ming Qu, Hui He, Lejin Xu

    Read original paper ↗ ·
  9. Autonomous High‐Throughput Characterization of Liquid‐Liquid Phase Behavior

    Advanced Science · 2026-06-30

    T A Eid, Maryam Ebrahimiazar, Mohammad Zargartalebi, David Sinton

    Read original paper ↗ ·
  10. Coupling High-Throughput Density Functional Theory, Automated Experimentation, and Adaptive Experimental Design To Achieve Selective Rare-Earth Element Separations

    Journal of the American Chemical Society · 2026-07-21

    Logan J. Augustine, Yufei Wang, Michael G. Taylor, Michael Tynes, Sara L. Adelman, Enrique R. Batista, Stosh A. Kozimor, Nicholas Lubbers, Danny Pérez, Ping Xiong Yang

    Read original paper ↗ ·