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RESEARCH PAPER · ChemElectroChem · 2024

Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material Discovery

Kajjana Boonpalit, Jiramet Kinchagawat, Supawadee Namuangruk‬

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7 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
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Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material DiscoveryOriginalPredicting anti-trypanosome effect of carbazole-derived compounds by powerful SVM with novel kernel function and comprehensive learning PSO2Applications of machine learning in surfaces and interfaces30Accurate prediction of water activity in ionic liquid-based aqueous ternary solutions using advanced explainable artificial intelligence frameworks18Quantitative Structure–Activity Relationship Study of Cathepsin L Inhibitors as SARS-CoV-2 Therapeutics Using Enhanced SVR with Multiple Kernel Function and PSO1A Simple Framework for Collaborative Development of Predictive Models Trained on Proprietary Data0The role of atomic-level understanding in optimizing lithium titanate oxide based anodes for lithium-ion batteries8Machine Learning for Gas Capture in Ionic Liquids: Current Status and Future Trends0

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  1. Predicting anti-trypanosome effect of carbazole-derived compounds by powerful SVM with novel kernel function and comprehensive learning PSO

    Antimicrobial Agents and Chemotherapy · 2024-05-29

    Wenzhe Dong, Peijian Zhang

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  2. Applications of machine learning in surfaces and interfaces

    Chemical Physics Reviews · 2025-03-01

    Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, Qing Zhang, Xiaoxia Zhong, Jinjin Li, Wei Li Ren

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  3. Accurate prediction of water activity in ionic liquid-based aqueous ternary solutions using advanced explainable artificial intelligence frameworks

    Chemical Engineering Science · 2025-07-15

    Saad Alatefi, Menad Nait Amar, Okorie Ekwe Agwu, Ahmad Bader Alkouh

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  4. Quantitative Structure–Activity Relationship Study of Cathepsin L Inhibitors as SARS-CoV-2 Therapeutics Using Enhanced SVR with Multiple Kernel Function and PSO

    International Journal of Molecular Sciences · 2025-08-29

    Shaokang Li, Zheng Li, Peijian Zhang, Aili Qu

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  5. A Simple Framework for Collaborative Development of Predictive Models Trained on Proprietary Data

    Journal of Chemical Information and Modeling · 2025-11-18

    Pablo Rodríguez-Belenguer, Alexander Amberg, Frank Bringezu, Markus Frericks, Jennifer Hemmerich, Peter Monecke, Nils Oberhauser, Panuwat Trairatphisan, Manuel Pastor

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  6. The role of atomic-level understanding in optimizing lithium titanate oxide based anodes for lithium-ion batteries

    Materials Advances · 2025-12-03

    Emaan Shahid, Abdul Majid

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  7. Machine Learning for Gas Capture in Ionic Liquids: Current Status and Future Trends

    Molecules · 2026-07-01

    Guocai Tian, Zhiqiang Hu, Ranran Geng

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