BetaCitation Atlas

RESEARCH PAPER · Computational Materials Science · 2023

Machine learning-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectra

Natalia V. Kireeva, Vladislav S. Pervov, Aslan Yu. Tsivadze

Read original paper ↗

See where this research leads.

16 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

Machine learning-based evaluation of functional characteristics of Li-rich layered oxide cathode materials using the data of XPS and XRD spectraOriginalProgress of machine learning in materials design for Li-Ion battery19Oxide ceramics of A2M3O12 family with negative and close-to-zero thermal expansion coefficients: Machine learning-based modeling of functional characteristics12Machine learning in energy storage material discovery and performance prediction77Input Consistency Regularization for Modeling Negative Thermal Expansion Characteristics of A2M3O12 Family of Compounds0Low-Carbon Foamed Concrete Based on Alkali Residue and GGBS versus Conventional Foamed Concrete: Comparative Experimental Research6Photoemission spectroscopy of battery materials5Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research9Input Consistency Regularization of Experimental Data for Modeling Functional Characteristics of A2M3O12${\rm A}_{2} {\rm M}_{3} {\rm O}_{12}$ Family of Compounds0Lithium rich layered oxide: exploring structural integrity, electrochemical behavior, performance failures and enhancement strategies through doping and coating17Performance of Alkali Residue–Based Foamed Concrete in Sulfate Solution1Fermi engineering realizes advanced materials for next-generation energy devices3Application of XGBoost using data from the oxygen reduction reaction of carbonaceous materials for H2O2 electrosynthesis1Deep autoencoder for low dimensionality for high dimensional data in regression models and direct inverse analysis of models0Artificial intelligence-driven paradigms for layered cathode materials: A systematic framework for multi-scale engineering2Intelligent X-ray Spectroscopy through Machine Learning for Energy Materials Discovery and Characterization0Intelligent decision framework for green battery recycling: Synergistic application of machine learning and life cycle assessment0

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

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

16 direct citing papers saved.

  1. Progress of machine learning in materials design for Li-Ion battery

    Next Materials · 2024-01-01

    Prasshanth C.V., Arun Kumar Lakshminarayanan, Brindha Ramasubramanian, Seeram Ramakrishna

    Read original paper ↗ ·

  2. Oxide ceramics of A2M3O12 family with negative and close-to-zero thermal expansion coefficients: Machine learning-based modeling of functional characteristics

    Journal of Alloys and Compounds · 2024-04-08

    Natalia V. Kireeva, Aslan Yu. Tsivadze

    Read original paper ↗ ·

  3. Machine learning in energy storage material discovery and performance prediction

    Chemical Engineering Journal · 2024-05-16

    Guochang Huang, Fuqiang Huang, Wujie Dong

    Read original paper ↗ ·

  4. Input Consistency Regularization for Modeling Negative Thermal Expansion Characteristics of A2M3O12 Family of Compounds

    ChemRxiv · 2024-08-28

    Natalia V. Kireeva, Aslan Yu. Tsivadze

    Read original paper ↗ ·

  5. Low-Carbon Foamed Concrete Based on Alkali Residue and GGBS versus Conventional Foamed Concrete: Comparative Experimental Research

    Journal of Materials in Civil Engineering · 2024-11-26

    Zhengcheng Wang, Kai Wu, Songyu Liu, Mengyao Li, Xiang Zhang, Zhenyang Yuan

    Read original paper ↗ ·

  6. Photoemission spectroscopy of battery materials

    Applied Physics Reviews · 2024-12-01

    Chenfeng Ding, Penghui Ji, Tongtong Li, Ting Guo, Zhong Xu, Taehoon Kim, Hui Zhang, Jiayu Wan, Luis K. Ono, Yabing Qi

    Read original paper ↗ ·

  7. Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research

    Indian Chemical Engineer · 2025-01-09

    Muthuraja Velpandian, Suddhasatwa Basu

    Read original paper ↗ ·

  8. Input Consistency Regularization of Experimental Data for Modeling Functional Characteristics of A2M3O12${\rm A}_{2} {\rm M}_{3} {\rm O}_{12}$ Family of Compounds

    Advanced Theory and Simulations · 2025-04-22

    Natalia V. Kireeva, Aslan Yu. Tsivadze

    Read original paper ↗ ·

  9. Lithium rich layered oxide: exploring structural integrity, electrochemical behavior, performance failures and enhancement strategies through doping and coating

    Energy storage materials · 2025-05-14

    Sobia Aslam, Lijuan Hou, Qi Liu, Wenxiu He, Daobin Mu, Li Li, Renjie Chen, Feng Wu

    Read original paper ↗ ·

  10. Performance of Alkali Residue–Based Foamed Concrete in Sulfate Solution

    Journal of Materials in Civil Engineering · 2025-07-08

    Zhengcheng Wang, Songyu Liu, Kai Wu, Jiafu Chen, Jianbin Wang

    Read original paper ↗ ·

  11. Fermi engineering realizes advanced materials for next-generation energy devices

    Materials Today · 2025-07-19

    Waqar Ahmad, Nisar Ahmad, Sumaira Aftab, Kun Wang, Jiale Chen, Jiale Chen, Jianhong Gao, Wei Cao, Yuhui Weng, Yongqun Ma, Zefan Zheng, Yingshuang Sun, Xi Chen, Xi Chen, Ming Zhang, Rulong Li, Wenjun Yan, Min Ling, Ziwei Chen, Jun Chen, Jun Chen

    Read original paper ↗ ·

  12. Application of XGBoost using data from the oxygen reduction reaction of carbonaceous materials for H2O2 electrosynthesis

    Journal of Environmental Management · 2026-01-30

    Augusto D. Alvarenga, Marcos R.V. Lanza

    Read original paper ↗ ·

  13. Deep autoencoder for low dimensionality for high dimensional data in regression models and direct inverse analysis of models

    Analytical Sciences · 2026-04-06

    Hiromasa Kaneko

    Read original paper ↗ ·

  14. Artificial intelligence-driven paradigms for layered cathode materials: A systematic framework for multi-scale engineering

    Nano Energy · 2026-04-22

    Jingguo Gao, Tao Huang, Yuan Zhang, Yuan Zhang, Bin Chen, Xiangzhong Ren, Jiangtao Hu, Qianling Zhang, Heping Xie

    Read original paper ↗ ·

  15. Intelligent X-ray Spectroscopy through Machine Learning for Energy Materials Discovery and Characterization

    Green Energy & Environment · 2026-06-01

    Xue Kong, Faiza Meharban, Lei Tan, Jingsan Xu, Xiaotong Wu, Chao Lin, Shuangqiang Chen, Zheng Jiang, Xiaopeng Li, Wei Luo

    Read original paper ↗ ·

  16. Intelligent decision framework for green battery recycling: Synergistic application of machine learning and life cycle assessment

    Resources Conservation and Recycling · 2026-08-26

    Yingshuai Ma, Youcai Zhu, Junwei Wang, Nianzi Zhang, Yang Yu, Chunguang Liu

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.