BetaCitation Atlas

RESEARCH PAPER · Energy Advances · 2023

Machine learning in energy chemistry: introduction, challenges and perspectives

Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju

Read original paper ↗

See where this research leads.

30 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 in energy chemistry: introduction, challenges and perspectivesOriginalComputational modeling guided design of metal–organic frameworks for photocatalysis – a mini review10Enhancing glucose classification in continuous flow hydrothermal biomass liquefaction streams through generative AI and IR spectroscopy7MatGPT: A Vane of Materials Informatics from Past, Present, to Future74NestedAE: interpretable nested autoencoders for multi-scale materials characterization3A machine learning approach for predicting the reactivity power of hypervalent iodine compounds7Machine Learning for Quantitative Structural Information from Infrared Spectra: The Case of Palladium Hydride13Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE1Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE1Recent advances in artificial intelligence boosting materials design for electrochemical energy storage124Attention towards chemistry agnostic and explainable battery lifetime prediction24A brief overview of deep generative models and how they can be used to discover new electrode materials8TransTg: a new transformer model for predicting glass transition temperature of polymers from monomers’ molecular structures12Advanced carbon nanomaterials for high-performance energy storage technologies8Determining the structure of functionalized graphene for tailored thermomechanical properties using ML techniques1Integrating artificial intelligence in energy transition: A comprehensive review248A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research5Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery227Chapter 2 Machine learning applications in material science: unveiling innovative solutions1Exploring Optimized Organic Fluorophore Search through Experimental Data-Driven Adaptive β-VAE10Machine Learning Boosted Quantum-Profiling of Blood Antigens3Shining a light on benzo[c][1,2,5]thiadiazole photocatalysts6Bio-inspired Magnetic Helical Miniature Robots: Mechanisms, Control and Biomedical Applications8Artificial intelligence in chemical engineering and applied sciences education0Designing AI-powered user-centric platforms for energy consumption and carbon footprint reduction3Review on Recent Development of Artificial Intelligence and Machine Learning Approaches in Energy Applications0In-situ coordination defects in metal oxides: chemical perspectives and operando characterization for high-performance multivalent-ion energy storage7Comparison of Aspen Plus and Machine Learning for Syngas Composition Prediction in Biomass Gasification1From atoms to systems: machine learning in the clean energy materials revolution1Machine learning for cracking the molecular code of room-temperature organic phosphorescent materials: From structure-property relationship to performance prediction0Miedema-based formation enthalpy criteria and strategies for optimizing hydrogen storage performance in rare-earth-magnesium hydrides: A review0

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

30 direct citing papers saved.

  1. Computational modeling guided design of metal–organic frameworks for photocatalysis – a mini review

    Catalysis Science & Technology · 2023-01-01

    Sheng Yu, Qiaomin Wang, Jinglei Wang, Cong Fang, Yuanzhe Li, Jiankai Ge, Baizeng Fang

    Read original paper ↗ ·

  2. Enhancing glucose classification in continuous flow hydrothermal biomass liquefaction streams through generative AI and IR spectroscopy

    Energy Advances · 2023-01-01

    Silviu Florin Acaru, Rosnah Abdullah, Daphne Teck Ching Lai, Ren Chong Lim

    Read original paper ↗ ·

  3. MatGPT: A Vane of Materials Informatics from Past, Present, to Future

    Advanced Materials · 2023-10-09

    Zhilong Wang, An Chen, Kehao Tao, Yanqiang Han, Jinjin Li

    Read original paper ↗ ·

  4. NestedAE: interpretable nested autoencoders for multi-scale materials characterization

    Materials Horizons · 2023-11-15

    Nikhil Thota, Maitreyee Sharma Priyadarshini, Rigoberto Hernandez

    Read original paper ↗ ·

  5. A machine learning approach for predicting the reactivity power of hypervalent iodine compounds

    Artificial Intelligence Chemistry · 2023-11-29

    Vaneet Saini, Ramesh Kataria, Shruti Rajput

    Read original paper ↗ ·

  6. Machine Learning for Quantitative Structural Information from Infrared Spectra: The Case of Palladium Hydride

    Small Methods · 2024-01-31

    Oleg Usoltsev, Andrei A. Tereshchenko, Alina A. Skorynina, Elizaveta G. Kozyr, Alexander V. Soldatov, Оlga V. Safonova, Adam H. Clark, Davide Ferri, Maarten Nachtegaal, Aram L. Bugaev

    Read original paper ↗ ·

  7. Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE

    ChemRxiv · 2024-02-08

    Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, Bo Li, Weikang Jiang, Jingyu Zhang, Hanzhi Bai, Zhiqiang Wang, Jiankai Ge, Ruiming Lin, Zehan Mi, Haozhe Zhang, Yifeng Tang, Michael S. Jones, Xiaotian Li, John Zhang

    Read original paper ↗ ·

  8. Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE

    ChemRxiv · 2024-02-08

    Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, Bo Li, Weikang Jiang, Jingyu Zhang, Hanzhi Bai, Zhiqiang Wang, Jiankai Ge, Ruiming Lin, Zehan Mi, Haozhe Zhang, Yifeng Tang, Michael S. Jones, Xiaotian Li, John Zhang

    Read original paper ↗ ·

  9. Recent advances in artificial intelligence boosting materials design for electrochemical energy storage

    Chemical Engineering Journal · 2024-04-23

    X.-B. Liu, Kexin Fan, Xinmeng Huang, Jiankai Ge, Yujie Liu, Haisu Kang

    Read original paper ↗ ·

  10. Attention towards chemistry agnostic and explainable battery lifetime prediction

    npj Computational Materials · 2024-05-10

    Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel, Leon Merker, Balázs B. Berkes, Leah Nuss, Helge Sören Stein

    Read original paper ↗ ·

  11. A brief overview of deep generative models and how they can be used to discover new electrode materials

    Current Opinion in Electrochemistry · 2024-12-06

    Anders Hellman

    Read original paper ↗ ·

  12. TransTg: a new transformer model for predicting glass transition temperature of polymers from monomers’ molecular structures

    Neural Computing and Applications · 2024-12-09

    Nassima Aleb, Nedal Y. Abu-Thabit

    Read original paper ↗ ·

  13. Advanced carbon nanomaterials for high-performance energy storage technologies

    Next Nanotechnology · 2025-01-01

    Meenakshi Gusain, Monika Sindhu, Arpan Tewary

    Read original paper ↗ ·

  14. Determining the structure of functionalized graphene for tailored thermomechanical properties using ML techniques

    RSC Advances · 2025-01-01

    Ravil Ashirmametov, Alexandr Alpatov, Farrokh Yousefi, Narges Vafa, Siamac Fazli, Κωνσταντίνος Κώστας

    Read original paper ↗ ·

  15. Integrating artificial intelligence in energy transition: A comprehensive review

    Energy Strategy Reviews · 2025-01-01

    Qiang Wang, Yuanfan Li, Rongrong Li

    Read original paper ↗ ·

  16. A Helping Hand: A Survey About AI-Driven Experimental Design for Accelerating Scientific Research

    Applied Sciences · 2025-05-07

    Lukas Nolte, Sven Tomforde

    Read original paper ↗ ·

  17. Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery

    Batteries & Supercaps · 2025-05-12

    Rika Yamamoto, Yasuhiko Igarashi, Hiroaki Imai, Taisei Sakata, Shuntaro Miyakawa, Shino Yoshizaki, Takaya Saito, Yuya Oaki

    Read original paper ↗ ·

  18. 27Chapter 2 Machine learning applications in material science: unveiling innovative solutions

    De Gruyter eBooks · 2025-06-25

    Leandro Rodrigues Oviedo, Maurício Dalla Costa Rodrigues da Silva, Pâmela Cristine Ladwig Muraro, Raisi Natalia Lenz Baldez, Tiago Moreno Volkmer, William Leonardo da Silva

    Read original paper ↗ ·

  19. Exploring Optimized Organic Fluorophore Search through Experimental Data-Driven Adaptive β-VAE

    JACS Au · 2025-06-30

    Yuzhi Xu, Yongrui Luo, Bo Li, Weikang Jiang, Jinyu Zhang, Jiangbo Wei, Hanzhi Bai, Zhiqiang Wang, Jiankai Ge, Ruiming Lin, Zehan Mi, Haozhe Zhang, Yifeng Tang, Michael S. Jones, Xiao-Tian Li, John Z. H. Zhang, Cheng‐Wei Ju

    Read original paper ↗ ·

  20. Machine Learning Boosted Quantum-Profiling of Blood Antigens

    The Journal of Physical Chemistry Letters · 2025-07-25

    Dyuti Chatterjee, Sneha Mittal, Milan Kumar Jena, Biswarup Pathak

    Read original paper ↗ ·

  21. Shining a light on benzo[c][1,2,5]thiadiazole photocatalysts

    Dyes and Pigments · 2025-08-18

    Dominic Taylor, Leonardo Amicosante, Scott J. Dalgarno, Filipe Vilela

    Read original paper ↗ ·

  22. Bio-inspired Magnetic Helical Miniature Robots: Mechanisms, Control and Biomedical Applications

    Journal of Bionic Engineering · 2025-10-16

    Aoji Zhu, Yangmin Li, Yong‐Ping Zheng, Lidong Yang

    Read original paper ↗ ·

  23. Artificial intelligence in chemical engineering and applied sciences education

    Elsevier eBooks · 2025-10-17

    Temima Ajanović, Farooq Sher, Esma Karahmet Farhat, Roquyya Khatoon, Majlinda Daci, Dan Egesa, Emma Pinjić

    Read original paper ↗ ·

  24. Designing AI-powered user-centric platforms for energy consumption and carbon footprint reduction

    Sustainable Chemistry One World · 2025-12-30

    Daniel Chwaifo Malann, Ayomide Titus Ogungbemi, Great Iruoghene Edo, Ali B.M. Ali, Agatha Ngukuran Jikah, Emad Yousif, Francis Uwadia, Ufuoma Augustina Igbuku, Ephraim Evi Alex Oghroro, Arthur Efeoghene Athan Essaghah, Dina S. Ahmed, Maryam Rabiu Aliyu, Huzaifa Umar, Ahmed A. Alamiery

    Read original paper ↗ ·

  25. Review on Recent Development of Artificial Intelligence and Machine Learning Approaches in Energy Applications

    Studies in Infrastructure and Control · 2026-01-01

    Muhammad Harussani Moklis, Cries Avian, Eric Kolor, Md. Rubel, Jeffrey S. Cross

    Read original paper ↗ ·

  26. In-situ coordination defects in metal oxides: chemical perspectives and operando characterization for high-performance multivalent-ion energy storage

    Coordination Chemistry Reviews · 2026-03-13

    Nadeem Hussain Solangi, Rana R. Neiber, Jai Kumar, Soumia Zagad, Jingmeng Jiao, Maokuan Guo, Xiaoli Lu, Victor Charles, Jun Lu

    Read original paper ↗ ·

  27. Comparison of Aspen Plus and Machine Learning for Syngas Composition Prediction in Biomass Gasification

    Processes · 2026-04-18

    Nuno O Dias, Fernando G. Martins

    Read original paper ↗ ·

  28. From atoms to systems: machine learning in the clean energy materials revolution

    Materials for Renewable and Sustainable Energy · 2026-06-02

    Marco Fronzi, Catherine Stampfl, Enrico Traversa

    Read original paper ↗ ·

  29. Machine learning for cracking the molecular code of room-temperature organic phosphorescent materials: From structure-property relationship to performance prediction

    Green Energy & Environment · 2026-08-01

    Yan Hu, Senlin Tian, Yingjie Li

    Read original paper ↗ ·

  30. Miedema-based formation enthalpy criteria and strategies for optimizing hydrogen storage performance in rare-earth-magnesium hydrides: A review

    Materials Science and Engineering R Reports · 2026-09-19

    Zhuocheng Liu, Boshuo Wang, Yiming Li, Pan Gao, Ming Zhao, Fei Yang

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