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RESEARCH PAPER · ACS Applied Nano Materials · 2022

Machine Learning Captures Synthetic Intuitions for Hollow Nanostructures

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Machine Learning Captures Synthetic Intuitions for Hollow NanostructuresOriginalInterpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly16Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation239Terahertz plasmonic biosensors with graphene-MXene-phosphorene heterostructures for ultra-sensitive dopamine detection: a machine learning enhanced approach4Polydopamine-based multifunctional biomaterials: Strategies for controlling redox and photothermal properties for biomedical applications3

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  1. Interpretable Machine Learning Models for Phase Prediction in Polymerization-Induced Self-Assembly

    Journal of Chemical Information and Modeling · 2023-05-19

    Yiwen Lu, Dilek Yalçın, Paul J. Pigram, Lewis D. Blackman, Mario Boley

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  2. Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation

    Chemical Society Reviews · 2024-01-01

    Rui Fang Ding, Junhong Chen, Yuxin Chen, Jianguo Liu, Yoshio Bando, Xuebin Wang

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  3. Terahertz plasmonic biosensors with graphene-MXene-phosphorene heterostructures for ultra-sensitive dopamine detection: a machine learning enhanced approach

    Materials Technology · 2025-11-19

    Jacob Wekalao, A.R. Altayar, Ashour M. Ahmed, Hussein A. Elsayed, Ahmed Mehaney, Stefano Bellucci, Amuthakkannan Rajakannu

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  4. Polydopamine-based multifunctional biomaterials: Strategies for controlling redox and photothermal properties for biomedical applications

    International Journal of Biological Macromolecules · 2026-03-08

    Lada E. Shlapakova, Maria A. Surmeneva, Сурменев Роман Анатольевич

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